INFORMATION NEEDS AND USES: FIFTY YEARS OF PROGRESS?Professor T.D. WilsonDepartment of Information Studies
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Most frequently mentioned topics | Rank |
---|---|
Neighbourhood | 1 |
Consumer | 2 |
Housing/maintenance | 3 |
Crime and safety | 4 |
Education | 5 |
Employment | 6 |
Transportation | 7 |
Finance/public assistance | 8 |
Health | 9 |
Miscellaneous | 10 |
Recreation | 11 |
Discrimination | 12 |
Legal | 13 |
The survey design was rigorous, with the interview schedule undergoing four pilot tests before being used. The sample of 1,615 households was drawn according to a strategy used by the U.S. Bureau of Census and resulted in a refusal rate of 16% and a vacancy rate (i.e., the household address was unoccupied) of 3.8%. The resulting data were analysed by a variety of statistical techniques and the results revealed not only wide variation in the ability of residents to find answers to their problems, but also the lack of knowledge of urban residents' problems on the part of information professionals.
Partly as a result of Dervin's involvement, the Baltimore study sparked off other studies,[46] which were reviewed by Chen & Hernon in their work on the information needs of residents in six north-eastern states of the U.S.A. [47]: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont.
In the special libraries sector, Mote (who had carried out the work at Shell Research, referred to above) had sought to characterize users in an attempt to understand their differences in information use.[48] Mote identified three groups of scientists at Shell Research Ltd. according to the character of the discipline within which they were working:
1) those working in fields with well-developed underlying principles, well organized literature, and well-defined "width" of subject (e.g., organic chemistry);
2) those concerned with a wider subject area with less well-organized information (e.g., an organic chemist who is now concerned with both the physics and the chemistry of lubricants); and
3) an "exaggerated form" of 2) above, a scientist who covers more subjects, with problems involving greater variation, and almost non-existent organization of the literature.
The hypothesis was formed that there would be increasing need for information through the three groups, with a maximum for group 3). Researchers were identified and assigned to the subject types, their enquiry records were checked, and support for the hypothesis was found. Mote concluded that library/information services might be planned accordingly - self-service libraries for category 1) users and more intensive, information-worker support for categories 2) and 3).
Categorization was also a feature of Brember & Leggate's[49] study of medical library users' use of different kinds of information sources, which adopted Checkland's Soft Systems Methodology.[50] Three user types were derived: the practitioner, the researcher, and the practitioner-researcher.
More recently, Palmer[51] used semi-structured, in-depth interviews to probe personality, discipline and organizational structure as related to the information behaviour of biochemists, entomologists and statisticians working in agricultural research. Cluster analysis was used to group respondents, and five groups emerged, which Palmer called:
Discipline, work role, time spent in the subject field, and organization were the most important determinants of the extent of information behaviour and there were some indications of male/female differences.
As a corrective to the considerable attention devoted to science and technology, a study of the Information Requirements of the Social Sciences (INFROSS) was launched in 1969. This study might be described as the last of the large quantitative studies of information-seeking behaviour, and exhibited both the strengths and the weaknesses of that approach. The strengths were in the adoption of a sound survey methodology, with follow-up to improve the response rate, and a scientifically drawn sample of 2,602 social science researchers from the U.K. population of researchers. The low response rate (41.8%), however, marked one of the potential weaknesses of such studies - the inability to represent the views of more than 50% of the sample. Non-response is affected by many factors, but one of the contributing factors in the case of INFROSS, as Line acknowledges, could well have been the size (20 pages) of the questionnaire.[52]
The questionnaire results were augmented by a small-scale interview survey (125 persons) and, as part of another project, by observation of the day-to-day behaviour of social science researchers making use of an experimental university information service.
Some of the findings supported those of other studies: for example, there were similarities in the distribution of usage over different sources of information, and the survey method allowed the correlation of variables, leading to such findings as the positive association between age and perceived satisfaction, and the negative association between satisfaction and the need for historical and descriptive material. Line and his colleagues concluded that the main deficiency was the under-developed state of information services for social scientists - hence the experimental project referred to above. In pressing this view of the need for such services, INFROSS had a successful outcome: many U.K. universities introduced social sciences information services to mirror those already established for science.[53]
With the start of a study at Sheffield University into information needs and information-seeking behaviour in social services departments (the INISS Project) in 1975, research took a new direction. INISS was conceived as an "action research" programme, in which the fact-finding phases would be followed by a stage in which innovations suggested by the research would be implemented in social services departments. With funding from, first, the British Library R. & D. Department and then from the Department of Health and Social Security, this programme was carried through between 1975 and 1980.[54,55]
In reacting to the relative sterility of survey based research, INISS was also conceived as a qualitative research programme, using observation and in-depth qualitative interviewing. These methods, coupled with the participative research mode in the action phase, allowed "triangulation" of the data, providing a rich picture of the nature of communication in social services departments and the role of information-seeking in relation to the performance of social work tasks and the management of departments. The focus upon communication, work roles, and related information in an area of applied social sciences allowed the researchers to focus on types of information, regardless of source or format, rather than on formally published documentation, which had tended to be the focus in previous investigations.
At the end of the investigation, the researchers concluded that:
"...the action research strategy gave considerable scope for the creation of condidtions in which the [users' information] requirements could be met. The collaborative approach which grew up in the course of the Project amountyed to a redefinition of the role of the information specialist in relation to this user group. Instead of the introduction of a range of centralized (and, to the fieldworkers, peripheral) information services based upon traditional library and information work, it proved possible to 'tailor make' simple services for people on the basis of their diagnosis of their information problems."[56]
For those involved in Project INISS, it is interesting to see recent paper on how information services might make use of the extensive literature on information seeking behaviour.[57]
In a subsequent investigation, the tools devised in the course of Project INISS were adapted to other local government settings and the results were published as two "do-it-yourself" manuals:[58,59] a means of disseminating research results in a way that could actually lead to innovation in information services.
The studies of university library use led to another line of research: the so-called shelf-availability studies undertaken by the Cambridge Library Management Research Unit.[60,61] These studies relied upon self-selected respondents (i.e., those who chose to follow the desired procedures) and, as a result a relatively small proportion of "eager" users provided the larger proportion of responses. However, the findings were of interest, revealing that most instances of failure were not the result of users' incompetence, but simply due to the fact that the wanted materials were already being used by someone else.
Another investigation explored failure in another sense: Martyn[62] explored the costs to scientific research and development of failure to find relevant materials at the start of a project. The study covered 647 scientists engaged in research and had an 88% response rate. 23.3% of the respondents (144 scientists) reported finding information too late for it to be useful - 43 of those scientists reported that, as a result, they had unintentionally duplicated other work. In a brief report for the New Scientist,[63] Martyn made the "admittedly crude" estimate that such unintentional duplication of work cost the country 0.9% of the total R & D funds - £6,000,000 in 1962. He noted that the estimate was extremely conservative and that the true costs could be double that figure. In 1987, Martyn replicated his 1964 research[64] and found the situation very similar. His sample was smaller and the response rate not as good, but 26.8% of respondents reported late discovery: Martyn suggested that the costs of failure to discover information were probably of the same proportion of total R & D funds as they had been in 1964.
The main strategy for determining what information has actually been used over the past fifty years has been citation analysis. One of the earliest such studies in the Journal was that by Earle & Vickery,[65] which analyzed a sample of citations in the 1965 U.K. social science literature by subject, bibliographic form, country, language and date, and made comparisons with citations from science and technology literature. The authors compared use by demand on the National Lending Library (now the B.L. Document Supply Centre) with citations, and concluded that "neither citation nor loan demand is an adequate measure of literature use by a large community. Each is only an indicator, illuminating some aspects of use but with its own inherent bias." It was found that books (measured by citation) accounted for about 70% of social science citations, while periodicals accounted for about 30% and that social science citing differed from citations to scientific and technical literature in having a lower number of journal titles, and a greater degree of self-citation.
However, there have been other investigations into how information is used - most notably in policy research. For example, Caplan et al.,[66] in examining the use of social science knowledge in policy decisions, found, not surprisingly, that the political implications of research findings determined how far they were put to use.
Other studies have reported a division of use into two kinds, which are described by Cole[67] as "direct" and "indirect". Cole analysed the records of information enquiries from scientists working in industry and found that 48% related directly to "operating information", or such topics as plant design and operation, while 22% was gathered as background information or "briefing".
Cole's results present an interesting contrast to those reported by Wilson,[68] in his study of the use made of journal articles acquired through scanning a current awareness bulletin in the field of social work. Respondents were presented with copies of documents they had requested through the system and asked what use they had made of the information. In 58% of cases the document had been used to provide background information of one kind or another: adding to the person's general knowledge of the field, confirming or clarifying ideas, and allowing comparison with the ideas or practice of others. A further 12% were use for training or personal development. Thus, these two categories covered 70% of the cases - very different from the 22% reported by Cole. In 5% of cases the document gave practical guidance on how to do something, and a further 17% contributed directly to a specific task, such as writing a report, providing the basis for a project, or being quoted to support a point made in a meeting.
It is, of course, time-consuming to follow up document use, since interviewing is absolutely necessary to secure the necessary information from a user. However, the methodology used by Wilson and Streatfield demonstrates that it is possible. The results of studies of information use could be used, of course, to aid either questioning by intermediaries, or the design of more effective interfaces for human/computer interaction.
Although this topic has rarely been the subject of specific investigations, the transfer of information (i.e., the delivery to others of information believed to be of relevance to them by the initial recipient of that information) and its exchange, that is, its use in a bartering or trading arrangement, have been touched upon in a wide variety of studies.
Allen's study of information transfer and use in research laboratories[69] is a well known example of this kind of investigation, and his Ph.D. thesis, almost thirty years after its first publication, is a classic. In it, Allen developed his concept of the "gatekeeper" - the member of a team who acts as the channel for communication of ideas from outside, and from within. This was an extension into the research laboratory of the "two-step flow of communication" concept developed by Lazerfeld, Berelson & Gaudet in 1948.[70] Among other things, Allen showed that the communication behaviour of technologists differed from that of scientists. The latter made greater use of formal communication media (scientific journals, reviews, advanced textbooks) than of informal, interpersonal communication, while the situation was reversed for the technologists.
In recent years, electronic communication has become common in many fields of specialization with the growth of national networks, such as JANET in the U.K., and international networks such as the Internet (originally based on the academic network in the U.S.A. and before that on a military network). In an update to the Royal Society's 1982 review of the scientific communication system, Meadows & Buckle[71] note that:
"The most obvious changes have occurred in informal communication between scientists, reflecting the rapid expansion of electronic networking in recent years... At the same time, the formal communication system has posed an increasing number of problems (e.g., information overload, rapid increases in costs)."
There are, of course, network developments that will formalize communication, such as the creation of electronic journals with editorial boards and peer review, and it seems likely that these trends will intensify as the networks put more capacity in place and as tools for navigating the network and extracting the information needed become more user-friendly.
One investigation (Schrader[72]) dealt with this area from a business perspective. This was a study of informal technology transfer between companies. Schrader noted that information exchange between competing companies is usually regarded as disadvantageous and that it is usually described as "information leakage". Shrader, however, prefers the term "information trading" noting that it can create economic benefits for a company and that, "It is advantageous if employees are aware of when to exchange and when to hide information and if they act accordingly." And, further:
"Information trading creates incentives to innovate. Internally generated technical knowledge is used not only within a firm, but also bartered for further knowledge—as long as the benefits outweigh the cost."
Although many different kinds of studies have paid passing attention to how satisfied users are with the information they receive, there have been few studies that have dealt specifically with satisfaction. Most of what exists relates to the evaluation of information retrieval systems, including on-line information services - an area which, in general, I have excluded from this review. However, the principles are the same, whether the user is satisfied (or not) by the output of an information retrieval system, or by browsing in the library.
Fortunately, a review of this area[73] has appeared recently in another journal: in this, Applegate sets out three models of user satisfaction and relates the literature to these three models. They are, first, the material satisfaction model, where the performance of the information "product" in terms of relevance, pertinence, recall, and precision, is believed to lead to "use", which is a measure of "material satisfaction". Secondly, the single path, emotional satisfaction model, whereby material satisfaction (derived from product performance) is seen to lead to "emotional satisfaction", which, in turn leads either to repeat use and/or complaint about lack of satisfaction. Finally, the multiple path, emotional satisfaction model, the most complex of the three, in which emotional satisfaction depends upon material satisfaction, the "product setting" (i.e., price, inter-personal skills of the intermediary, etc.], and "disconfirmation" - the extent to which the user's expectations (derived from innate factors such as demographic and psychological characteristics, and acquired characteristics such as information about the product) are confirmed or disconfirmed. Again, emotional satisfaction leads to behaviour.
This is the most comprehensive account I have seen of models of user satisfaction and, clearly, offers many ideas for further research in this area.
Although I have taken a pragmatic approach to this survey of the past fifty years, it would be wrong to give the impression that there has been no progress in theoretical terms. Although it would be true to say that throughout most of the period the orientation of investigators was very practical - in that they were seeking guidelines for the development of information systems and services - it is the case that attempts to provide a theoretical framework, or, at least, to think in terms of causation, did occur from time to time. For example, the study by Mote, referred to earlier[74] an attempt was made to link information use to characteristics of the discipline of the user. Again, Oppenheim's study of student library use[75] sought to find distinctions according to sex, year of study and the nature of the course, and Stuart also identified male/female differences[76] in his study of reading in three London boroughs.
It was the reviews in the Annual Review of Information Science and Technology, however, that began to impose conceptual frameworks on the work that had been done. In the first of these,[77] Menzel evolved a typology of user studies and also singled out for comment two "methodological improvements": solution development records and paired research teams, both of which had been used by Allen[78] at M.I.T. Menzel's typology was not used again, but, two years later, Paisley[79] evolved a model of "the scientist within systems (within systems)", a set of ten "almost-concentric circles", which was slightly modified the following year by Allen,[80] and both of these have been referred to frequently since. However, the majority of studies that reviewers have had available to them over the years have been (as noted earlier) studies of the use of systems - whether library systems, information systems, or the total system of scientific and technical communication. As a number of recent authors have noted,[81] the movement away from system-centred studies to person-centred studies did not begin until the 1980s, and the various models for organizing the literature were, consequently, system-oriented.
The move towards person-centred studies appears to have been initiated more or less independently by a number of researchers: Belkin,[82] Dervin,[83] and Wilson[84] are those most commonly credited[85] with initiating the move. These researchers are generally held to approach the problem of information needs and use from a cognitive perspective, but it is important to note a distinction between those who consider the cognitive state of the information user, and those who consider his or her cognitive style. The former is variable, dependent upon the context of the situation of information-seeking and information use, whereas the latter is held to be an innate characteristic of the individual.
This can be exemplified by reference to Belkin's work, which was designed to lead to the development of more effective information retrieval systems, and postulated an "anomalous state of knowledge" in the user, which the system must seek to match, if retrieval was to be effective. Thus, an anomalous state of knowledge would depend, not upon the cognitive style of the individual, but upon the circumstances that led to a gap in his or her understanding of a situation. Ford, on the other hand, although defining information need in much the same way as Belkin:
"The approach I have taken to describe an 'information need' is an awareness of a state of 'not knowing' - or some conceptual incongruity in which the learner's cognitive structure is not adequate to the task."[86]
is more interested in the extent to which different, innate cognitive styles will lead to different strategies of information-seeking.
The distinction is an important one, particularly as the cognitive styles perspective has been employed to a significant extent in research into the design of management information systems (MIS) and decision-support systems (DSS). Huber reviewed this literature some ten years ago and concluded that:
"(1) the study of cognitive style as a basis for deriving operational guidelines for MIS and DSS designs has not been fruitful and (2) such study is likely not to prove fruitful."[87]
Huber's case for his conclusions is closely argued and worth examination by information scientists. However, he does see a role for the concept of cognitive style in relation to MIS/DSS, noting that, if better instruments for the assessment of cognitive style were forthcoming, they could be used to identify the "natural propensities" of system users, and so aid training in the use of appropriate routines for decision-making.
This suggestion that cognitive style instruments could aid training has recently been the focus of investigation by a team in the Department of Information Studies, University of Sheffield . The team concluded:
"Learning and cognitive styles have been demonstrated to be a significant component of individual behaviour within the hypertext environment. This component is not, however, rigid and inflexible and does not necessarily enforce a particular style of usage upon a particular individual. Providing a variety of tools optimised for particular preferred modes of usage creates a rough equality of overall task-related performance, and allows the user to evolve an appropriate strategy for effective performance."[88]
Dervin approaches the problem of information-seeking behaviour as a communications researcher, rather than as an information scientist, and adopts a "sense-making" approach, which she defines as:
"...a label for a coherent set of concepts and methods used in a... programmatic effort to study how people construct sense of their worlds and, in particular, how they construct information needs and uses for information in the process of sense-making... In the most general sense, sense-making... is defined as behavior, both internal (i.e., cognitive) and external (i.e., procedural) which allows the individual to construct and design his/her movement through time-space. Sense-making behavior, thus, is communicating behavior."[89]
The central concepts of the sense-making approach are those of situations, gaps, and uses or helps. To this author's mind, the approach is more phenomenological than simply cognitive. Situation refers to the position in space and time where sense is being made; gaps are the points at which questions need to be asked to resolve barriers to understanding or to make progress in making sense; and uses/helps are the ways in which answers to the questions are put to use by the sense-maker. Dervin's aim is to apply these concepts as a general model, applicable in all communicative situations.
Although Wilson has been identified with the cognitive approach, his view of information needs and information-seeking behaviour is phenomenological in character, derived from the work of Alfred Schutz. From the phenomenological perspective, individuals construct their own social "world" from the world of appearances around them (see Schutz's Phenomenology of the Social World.[90]). However, they can only do so with the help of others who have already placed a cognitive structure on the world of appearances. Thus, all of the devices we create to organize the cognitive structures of the world (libraries, retrieval systems, encyclopaedias, etc.) are socially constructed and help the individual to construct his or her own "meanings". We can see information needs, therefore, as derived from the individual's attempts to make sense of the world (as Dervin), and information-seeking behaviour as almost always frustrated in some degree by the division between the meanings embedded in information systems and the highly personal meaning of the information-seeker's problem.
Clearly, where a community of meanings has a high degree of consensus for a group (say, particle physics), it is likely that the search for information relative to problems can be tested against information resources that have been organized around the same consensus. Where the community of meanings is weaker, information systems are more likely to fail the user. Schutz describes the individual as needing to consult his "stock of knowledge on hand" and Wagner's[91] comment on this is illuminating for the information scientist:
"He cannot interpret his experiences and observations, he cannot define the situation in which he finds himself, and he cannot make any plans for even the next minutes without consulting his own stock of knowledge."
With Schutz in mind, Wilson expressed the view that:
– our concern is with uncovering the facts of the everyday life of the people being investigated;
– by uncovering those facts we aim to understand the needs that exist which press the individual towards information-seeking behaviour;
– by better understanding of those needs we are able better to understand what meaning information has in the everyday life of people; and
– by all of the foregoing we should have a better understanding of the use and be able to design more effective information systems.[92]
In his 1981 paper Wilson presented a model of the information-seeking process (Figure 2) which has been amended from the original version to show how the work of another researcher, Ellis,[93] can be incorporated into the overall model. This turns out to be quite easy, since Ellis is concerned solely with the information-seeking process, rather than with the analysis of the needs that motivate search behaviour. Ellis has recently extended his work from the social sciences (his model was based on the search behaviour of social science researchers) to physics and chemistry[94] and has found that the original model fits behaviour in these fields with very little modification. He now identifies the stages in information-seeking behaviour as: Starting, Chaining (following citation linkages), Browsing, Differentiating, Monitoring, Extracting, Verifying, and Ending.
In Figure 2 the drive to seek information is postulated to be some more basic need in the individual, drawing particular attention to the fact that information could be used to aid the satisfaction of affective (or emotional) needs, rather than only cognitive needs. This fact was derived from experience in interviewing the users of a current awareness service in the field of social work who reported on the way they had used information provided in the form of photocopied documents.[95] Subsequently, Kulthau carried out a series of studies (summarized as "Inside the search process: information seeking from the user's perspective"[96]), using Kelly's personal construct theory.[97]
Kulthau's work supplements that of Ellis by attaching to the stages of the "information search process" the associated feelings, thoughts and actions, and the appropriate information tasks. This association of feelings, thoughts and actions clearly identify Kulthau's perspective as phenomenological, rather than simply cognitive. The stages of Kulthau's model are: Initiation, Selection, Exploration, Formulation, Collection and Presentation, and, for example, the "initiation" of the process is said to be characterized by feelings of uncertainty, vague and general thoughts about the problem area, and is associated with seeking background information: the "appropriate task" at this point is simply to "recognize" a need for information. The remaining appropriate tasks are: Identify, Investigate, Formulate, Gather, and Complete.
Although Ellis's and Kulthau's models do not map directly on to one another, there is a relationship: in effect, Ellis's stages are an elaboration of the "tasks" described by Kulthau. Thus, the Selection/Identification stage is closely associated with Ellis's Starting phase - which encompasses "activities characteristic of the initial search for information" or, as Kulthau puts it, "Some may make a preliminary scan for an overview of alternative topics." Again, the Exploration/Investigation and Collection/Gathering stages are associated with Ellis's Chaining, Browsing, Differentiation, and Monitoring. Finally, Presentation/Completion is equivalent to Verifying and Ending in Ellis's latest formulation of his model.
Westbrook's review of the field[98] presents a synthesis of various stage models derived from Belkin, Dervin, Ellis and Kulthau, and extending the Kulthau/Ellis models to include the "Need" state and, before Ellis introduced "Ending", a "Closing" stage. Westbrook's full set is: Needing, Starting, Working, Deciding and Closing.
It is clear, therefore, that we are seeing the emergence of a common theoretical position vis-à-vis information-seeking behaviour, under a relatively new, "person-centred" paradigm,[99] which is, perhaps, a better term than "the cognitive approach".
In terms of overall methodological or conceptual frameworks, we have seen a gradual move away from quantitative studies to the use of qualitative methods. The quantitative approach was associated with ideas of positivism in social science, although the investigators rarely made this apparent in their work, perhaps because, in general, they were physical or life scientists attempting a "scientific" exploration of what is, essentially, a social/ behavioural phenomenon. However, they are hardly to be criticised in this, as positivism was the dominant philosophy of social science, particularly in the U.S.A. The move to qualitative methods was a natural one, as the person-centred approach required more in-depth information on people's behaviour than could be provided by mail surveys. Investigators were seeking understanding of processes and behaviour, rather than description of system use.
As noted earlier, one of the first U.K. studies to adopt a qualitative approach was Project INISS,[100] which adopted a multi-method approach, and which incorporated "illuminative evaluation" into the assessment of the trial information services.[101] This had an influence on the work undertaken by CRUS and referred to earlier, in that, for example, in-depth, qualitative interviews were used in a number of investigations where, previously, surveys might have been employed. Wilson, together with White, went on to develop a case-study approach to the study of information needs in industry, with in-depth interviews of senior managers in a dozen small to medium-sized manufacturing firms in Sheffield,[102] and the qualitative approach was used (and continues to be used) in the Department of Information Studies at Sheffield in both funded projects and Ph.D. research.[103] It is probably not too much of an exaggeration to say that since 1975, qualitative methods have become almost the standard in information needs research in the U.K. and, particularly, in the Nordic countries[104] and in recent years, there has been a rather more enthusiasm for such methods in the U.S.A.[105]
All disciplines tend to be inward looking; some necessarily so because the possibility of them interacting with any other discipline is remote, others, presumably, because the task of trying to account for all related research would produce an overwhelming information load. Information science shares this characteristic and nowhere is the consequence more evident than in the field of user studies. There has been a history of coming to grips with what other fields have to offer in methodological terms but we have still to come to terms with the fact that the behaviour in which we have an interest is not a highly specialized branch of information science, but part of the more general field of communication studies. Figure 1 is not limited in its application to a researcher looking for information on a project problem: it could also be applied to a consumer looking for a product, or a person suffering from, say, the on-set of Alzheimer's disease, seeking advice.
It is possible, in fact, to identify at least six other fields of study (which overlap among themselves) where work is being carried out, which is of direct relevance to what information scientists call "user studies". Here, I shall identify only representative examples of these areas, but a review of current work in these fields would be useful on another occasion.
First, there is the field of organizational decision making, where, for example, O'Reilly,[106] a prominent researcher in organizational communication, set out the "contextual and individual variables affecting the use of information by organizational decision makers". These included variables that the researcher into user needs would find familiar, such as: communication networks, roles (think, e.g., of Paisley's scientist within systems), information availability (quantity, quality, saliency, content, form and credibility), and individual information processing variables (perceptual set, criteria used, and processing style).
From his review, O'Reilly evolved a number of propositions which offer rich possibilities for further research. There are too many propositions (eleven in all) to quote in full, but the following will give some idea of their potency:
Proposition 3: Information is more likely to be used by decision makers if it is:
- readily accessible;
- summarized;
- presented orally;
- from a source deemed as credible, that is trustworthy.
Proposition 4: Information is more likely to be used by decision makers if the information:
- is supportive of the outcomes favored by the decision makers.
- does not lead to conflict among the set of relevant actors.
- cannot be attacked by those in opposition; and
Proposition 7: Given the same information set, different decision makers will use different parts in different ways; that is, judges will select and weight information differentially.
Interestingly, Wilson & Streatfield[107] had confirmed Proposition 3 in their study of social workers and social work managers some six years before O'Reilly's review.
Secondly, marketing studies frequently involve a consideration of information needs. For example, Timko and Loyns[108] explored the need for economic information by grain farmers in Manitoba, setting out 24 categories of grain market information, from "Federal regulations on grain" to "Grain price forecasts". A conceptual framework was developed, which related macro- and micro-economic information to farm management decision-making and the results showed that whether macro- or micro-economic information was needed depended upon the market in which the producer was operating. Availability of information was not perceived to be an issue, but some respondents commented on accessibility and convenience. Finally, the farmers perceived a need for more information. In other words, by adopting a decision-making framework for the study, the researchers were able to identify information types without difficulty and the farmers were able to make judgements among those types.
The information-seeking behaviour of consumers has also been studied under the heading of marketing. Ozanne, Brucks and Grewal examined how consumers fit new products into their existing knowledge bases[109] in a laboratory-based experiment. They demonstrate that when people are faced with new products, a series of inverted-U relationships are found between various search variables, such as breadth and depth of search, time spent in searching, and the type of information sought. In other words, when the discrepancy is at a moderate level, people spent more time and effort analyzing a limited set of attributes of products, rather than seeking a broader range of information, and, also at the moderate level of discrepancy, sought more information on those limited attributes. The extension of these ideas for searching other kinds of information than product information could well be useful.
Thirdly, and more theoretically, studies of personality have dealt with information processing and cognition. For example, a "need for cognition" test has been devised by Cacioppo, Petty & Kao[110] to measure a general trait, related to an individual's motivation to engage in cognitive acts. Verplanken et al.[111] have used a Dutch version of this instrument to explore the relationships between need for cognition (NC) and the amount of effort expended on external information searching. They comment:
"More specifically, we hypothesized that high NC individuals expend more effort and search more information than low NC individuals."
Given the definition of "need for cognition", I think it would have been surprising if no such relationship had been found, but, in the event, the hypothesis was confirmed in a laboratory test (a test closely related to marketing in that it concerned information relating to a product).
In their conclusions, the authors suggest that:
"It can be hypothesized..., that given the fact that need for cognition appeared to be related to search effort, individuals differing in need for cognition may also differ in information search strategies preceding a decision."
Allowing for the apparent circularity of the exercise, this latter hypothesis could be worth testing in, for example, on-line searching by end-users.
In another psychological study Prince-Embury[112] examined the relationship between various information-related factors, perception of control over one's life, and symptoms of psychological illness. The setting was the Three Mile Island reactor incident and the information behaviour concerned sessions designed to inform people about the incident and its probable effects. Prince-Embury found that "understanding of information" was the only factor related to psychological symptoms: in other words, those who understood more of what they were told showed fewer symptoms.
Of course, Prince-Embury did not test for "need for cognition" and it may be the case that all of those attending the meetings would have measured highly on that scale, but the two papers, taken together, do raise interesting questions about how far information-seeking behaviour can lead to effective information use if the information materials used are a barrier to understanding.
Fourthly, computer science, has an almost identical field of investigation which is referred to as information requirements studies. This is a very extensive field, but the flavour can be given by a couple of examples: Symon et al.[113] used a multi-modal approach to defining user requirements of a hospital information system. They employed interviews, prototyping, group discussions, questionnaire, documentation, a 'tracer' study, and an evaluation questionnaire, because, "Given the size of the project and the diversity of issues involved, no one method of deriving information requirements would have been adequate."
The resulting user requirements model was structured around "the two principal constituents of the hospital" - patients and resources, and related information requirements to four categories: information (the data held on patients and resources), operational control (i.e., controlling the flow of patients and resources in the hospital), communications (person-to-person communication which can over-ride formal systems because dealing with patients requires high flexibility of response), and management (i.e., the processes of monitoring and evaluating total organizational performance). The resulting definition of information systems required for hospital management and patient care shows the necessity for a fully integrated communications system to ensure accessibility of information to all.
A somewhat similar, multi-method approach to requirements definition is described by Willoughby and Gardner.[114] Noting that, "...information scientists have not always looked beyond the tools used by their own discipline to consider the potential of tools used by other disciplines...", the authors used interviews, an "information environmental analysis" (an analysis of the work tasks that used or generated information), a Delphi survey, and generation and sorting of typical questions users expected to put to a management information system.
The system, as a result of these processes, was:
"...centered around the subject orientation of users and propensity for sorting questions by information type. The four information types used were bibliographic, numeric, programmatic, and authority."
This area is closely associated with that of decision-making, dealt with above. For example, Martin[115] uses the structured approach of System Dynamics to show how a decision support system could be created for determining how many jurors to call for service on a given day. The approach uses decision graphs to break down the decisions needed into sub-decisions and then identifies the questions that need to be answered at each sub-decision stage. From those questions, the information needed to provide decision support may be determined. Clearly, this approach to determining information requirements assumes a highly structured decision process - which is not always the case.
Fifthly, media studies, deals with the information needs individuals are seeking to satisfy through exposure to the media. For example, Chew[116] carried out a study to explore, "...the information needs of the public during two types of television news in order to shed further light on how viewers process television news." She found that information needs varied according to the nature of the news programme: "During routine news there were more basic awareness questions, while during serious news there were more questions regarding decision making, opinion formation, and checking for accuracy." This finding may be an instance of the more general phenomenon, of information users selecting information sources on the basis of the nature of their need, although we know that users often formulate their problem statement in more general terms than they need and, hence, may select sources that are inappropriate.
Finally, health communication studies, constitute a major field of investigation in the health sciences. The issues here relate to such matters as how various "at risk" groups obtain and use information on their medical problems and how publicity and information programmes addressed to such groups succeed (or fail) in their aims. The research is reported almost entirely in health sciences journals, rather than in the information science, and, consequently, is rarely reviewed by information scientists. However, the models used mainly by social scientists working in this area are of considerable interest and their findings are relevant to the field of user studies in general.
For example, Snider[117] examined what he called "predisposing factors" and "enabling factors" in a study of the knowledge base of elderly persons in Edmonton, Canada. Predisposing factors were those that create a need for medical services, such as health and age, while enabling factors were those that enable access to such services. He found that the enabling factors (particularly age, educational level, and previous use of an agency) were more important in determining people's knowledge of what was actually available than the predisposing factors.
Studies such as this are often directed at evaluating agencies' efforts to inform a population about its services, in much the same way as library and information systems seek to inform their user groups of their services. It would be possible to identify sets of predisposing and enabling factors for library or information system use and explore a population in the same way.
Another study by Kenkel[118] defined "information" as the level of knowledge an individual possessed on certain medical problems. He then constructed an econometric model of the relationship between health information and the demand for medical services, confirming the anticipated relationship that better informed people use more medical care. The study was focused on the purchase of medical care and, in the present climate of concern with the purchase of information services, the following finding is interesting:
"The finding that more informed individuals are more likely to use care, combined with the symptoms-response calculations that all individuals use less medical care than experts believe is appropriate, suggest that people systematically underestimate the marginal product of medical care. Apparently, physicians cannot even convince people to buy enough care, much less induce them to buy more than enough."
If there are stubborn barriers to the purchase of health care, what is the prospect for sellers of information services, where the "marginal product" is much more difficult to calculate?
Finally, under this heading, Rakowski et al.[119] sought to discover whether "information-seeking" could be used as a factor in the analysis of health-related practices of citizens in Rhode Island. They noted:
"At present, information-seeking is not precisely defined by a standard set of questions. Instead, it is a concept generally viewed as being a tendency to find out about health from sources such as television, radio, printed media, friends and family, health professionals, and systematic personal observation. Surveys of preventive health behavior have usually not included specific questions about information-seeking in their instruments."
Therefore, they devised such a set of questions and found that information-seeking behaviours did emerge as a factor in the subsequent factor analysis of data. Specifically, they defined two indices of information seeking, "Information Positive", consisting of positive responses to the questions, and "Information Negative", consisting of negative responses. They found that, although neither index linked to general medical testing, which was usually prompted by telephone calls or mail from practitioners, both were related to "Personally Conducted Health Activities", such as breast self-examination, regular exercise, flossing teeth, and limiting exposure to sunlight. Those with a "positive" information index were more likely to engage in these activities than those with a "negative" index.
The authors conclude that,
"Having information does not guarantee that behavior change will occur. However, being an active information-seeker may be a significant distinction compared with acquiring information in more passive ways such as what is now almost inescapable exposure to health messages from multiple media channels, and even health-related conversation in one's social network."
They note that the means of defining active information-seekers will need to change as the nature of the information society changes and that future benchmarks could include:
"...not only the variety of sources utilized, but also considerations for: the level of detail at which information is gathered, the integration of information from multiple sources, and the manner in which conflicting information is resolved."
There are several kinds of conclusion to be drawn from this review: first, it is clear that in the early part of the period, the studies were essentially system studies, rather than person-centred studies. Not only that; they lacked any common theoretical underpinning and were predominantly descriptive. They used different methods, different scales for describing behaviour and relatively crude forms of statistical analysis. Consequently, very little of lasting interest can be found in them. This is not to say that descriptive, system studies are necessarily useless - several ideas for possible studies come to mind, which would compare the situations then and now:
1. Given the extent to which the university library studies found that the public library was a source of supply when materials were not available in the university library, what has been the effect on undergraduates of the past fifteen years of reduced public spending on both university and public library systems?
2. In the same context, how has undergraduate book-buying changed over the same period, and what strategies are teachers using to help students overcome the problems of supply?
3. So far as university researchers in all fields are considered, what means have they found to gain access to the literature, when so many journals have been cancelled, and what role is electronic communication with fellow researchers playing?
4. What would a study of the major public reference libraries now reveal, compared with the 1967 study by Clements?
If such studies are carried out, however, one of the other defects of some the earlier investigations should be avoided: that is, the generally inept survey methodologies employed. If quantitative methods are to be employed, they should be used properly: samples should be drawn scientifically to represent the total population (that is, using random or quasi-random methods, not haphazard sampling); follow-up should be used to increase the response rate; and the statistical analysis should make use of multi-variate methods to explore possible causative factors. My former colleague, Dr. Norman Roberts, also suggests[ 120] that journal editors might do well to bear these points in mind in deciding whether or not to accept papers for publication.
The second general conclusion is that there is a need for an integrative model of information need, information-seeking behaviour and information use. That integrative model is already almost complete: it is a person-centred model, based largely on Dervin's "sense-making" approach, but with extensions (actual and potential) into models of information-seeking behaviour, the multi-contextual character of information needs, and the nature of user satisfaction. Reading the library surveys of the 1960s today, one is struck by how irrelevant they are for present conditions, and how even less relevant they are likely to seem within a very short space of time. This brings to one's attention the fact that a great deal of user behaviour is dependent upon the nature of the system being used. All information-seeking behaviour is learnt, nothing is innate: even the ways in which informal communication networks are used to get information must be learnt through the normal interaction by which we all learn to function in a community, a work-place, a professional group, or whatever. Any integrated, theoretical model must also find a place for the changing character of information systems.
The third conclusion is that earlier suggestions[121] that our use of the word "information" hides the fact that the subject is actually "communication" and that information science, particularly in relation to the study of user behaviour, can derive much benefit from a closer liaison with communication studies. The brief survey of work in related disciplines suggests that there are many approaches and many models of communication behaviour that could be incorporated into the study of information-seeking behaviour, and there is a need for a more comprehensive survey of this literature.
The final conclusion is that there has been progress over the past fifty years. True, much time has been wasted and it ought not to have taken as long to get to the present position. However, a firmer theoretical base now exists than was the case fifty (or even twenty) years ago and the guides to the literature that have been referred to in this paper ought to prevent any researcher from digging over old ground—at least not without the intention of raising something new.
I am grateful to Dr. Norman Roberts for his helpful comments on earlier drafts of this paper.