Information seeking

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Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Information seeking is related to, but different from, information retrieval (IR).

Contents

Compared to information retrieval

Traditionally, IR tools have been designed for IR professionals to enable them to effectively and efficiently retrieve information from a source. It is assumed that the information exists in the source and that a well-formed query will retrieve it (and nothing else). It has been argued that laypersons' information seeking on the internet is very different from information retrieval as performed within the IR discourse. Yet, internet search engines are built on IR principles. Since the late 1990s a body of research on how casual users interact with internet search engines has been forming, but the topic is far from fully understood. IR can be said to be technology-oriented, focusing on algorithms and issues such as precision and recall. Information seeking may be understood as a more human-oriented and open-ended process than information retrieval. In information seeking, one does not know whether there exists an answer to one's query, so the process of seeking may provide the learning required to satisfy one's information need.

In different contexts

Much library and information science (LIS) research has focused on the information-seeking practices of practitioners within various fields of professional work. Studies have been carried out into the information-seeking behaviors of librarians, [1] academics, [2] medical professionals, [3] engineers, [4] lawyers [5] [6] and mini-publics [7] (among others). Much of this research has drawn on the work done by Leckie, Pettigrew (now Fisher) and Sylvain, who in 1996 conducted an extensive review of the LIS literature (as well as the literature of other academic fields) on professionals' information seeking. The authors proposed an analytic model of professionals' information seeking behaviour, intended to be generalizable across the professions, thus providing a platform for future research in the area. The model was intended to "prompt new insights... and give rise to more refined and applicable theories of information seeking" (1996, p. 188). The model has been adapted by Wilkinson (2001) who proposes a model of the information seeking of lawyers. Recent studies in this topic address the concept of information-gathering that "provides a broader perspective that adheres better to professionals' work-related reality and desired skills." [8] (Solomon & Bronstein, 2021).

Theories of information-seeking behavior

A variety of theories of information behavior – e.g. Zipf's Principle of Least Effort, Brenda Dervin's Sense Making, Elfreda Chatman's Life in the Round – seek to understand the processes that surround information seeking. In addition, many theories from other disciplines have been applied in investigating an aspect or whole process of information seeking behavior. [9] [10]

A review of the literature on information seeking behavior shows that information seeking has generally been accepted as dynamic and non-linear (Foster, 2005; Kuhlthau 2006). People experience the information search process as an interplay of thoughts, feelings and actions (Kuhlthau, 2006). Donald O. Case (2007) also wrote a good book that is a review of the literature.

Information seeking has been found to be linked to a variety of interpersonal communication behaviors beyond question-asking, to include strategies such as candidate answers.

Robinson's (2010) [11] research suggests that when seeking information at work, people rely on both other people and information repositories (e.g., documents and databases), and spend similar amounts of time consulting each (7.8% and 6.4% of work time, respectively; 14.2% in total). However, the distribution of time among the constituent information seeking stages differs depending on the source. When consulting other people, people spend less time locating the information source and information within that source, similar time understanding the information, and more time problem solving and decision making, than when consulting information repositories. Furthermore, the research found that people spend substantially more time receiving information passively (i.e., information that they have not requested) than actively (i.e., information that they have requested), and this pattern is also reflected when they provide others with information.

Wilson's nested model of conceptual areas

Wilson's Nested Model of Conceptual Areas Wilsons Nested Model of Conceptual Areas.png
Wilson's Nested Model of Conceptual Areas

The concepts of information seeking, information retrieval, and information behaviour are objects of investigation of information science. Within this scientific discipline a variety of studies has been undertaken analyzing the interaction of an individual with information sources in case of a specific information need, task, and context. The research models developed in these studies vary in their level of scope. Wilson (1999) therefore developed a nested model of conceptual areas, which visualizes the interrelation of the here mentioned central concepts.

Wilson defines models of information behavior to be "statements, often in the form of diagrams, that attempt to describe an information-seeking activity, the causes and consequences of that activity, or the relationships among stages in information-seeking behaviour" (1999: 250).

See also

Related Research Articles

Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.

<span class="mw-page-title-main">Information science</span> Academic field concerned with collection and analysis of information

Information science is an academic field which is primarily concerned with analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. Practitioners within and outside the field study the application and the usage of knowledge in organizations in addition to the interaction between people, organizations, and any existing information systems with the aim of creating, replacing, improving, or understanding the information systems.

In the field of psychology, cognitive dissonance is the perception of contradictory information and the mental toll of it. Relevant items of information include a person's actions, feelings, ideas, beliefs, values, and things in the environment. Cognitive dissonance is typically experienced as psychological stress when persons participate in an action that goes against one or more of those things. According to this theory, when two actions or ideas are not psychologically consistent with each other, people do all in their power to change them until they become consistent. The discomfort is triggered by the person's belief clashing with new information perceived, wherein the individual tries to find a way to resolve the contradiction to reduce their discomfort.

In information science and information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user. Relevance may include concerns such as timeliness, authority or novelty of the result.

Gerard A. "Gerry" Salton was a professor of Computer Science at Cornell University. Salton was perhaps the leading computer scientist working in the field of information retrieval during his time, and "the father of Information Retrieval". His group at Cornell developed the SMART Information Retrieval System, which he initiated when he was at Harvard. It was the very first system to use the now popular vector space model for Information Retrieval.

<span class="mw-page-title-main">Browsing</span>

Browsing is a kind of orienting strategy. It is supposed to identify something of relevance for the browsing organism. In context of humans, it is a metaphor taken from the animal kingdom. It is used, for example, about people browsing open shelves in libraries, window shopping, or browsing databases or the Internet.

A design engineer is an engineer focused on the engineering design process in any of the various engineering disciplines and design disciplines like Human-Computer Interaction. Design engineers tend to work on products and systems that involve adapting and using complex scientific and mathematical techniques. The emphasis tends to be on utilizing engineering physics and other applied sciences to develop solutions for society.

Bibliographic coupling, like co-citation, is a similarity measure that uses citation analysis to establish a similarity relationship between documents. Bibliographic coupling occurs when two works reference a common third work in their bibliographies. It is an indication that a probability exists that the two works treat a related subject matter.

Marcia J. Bates is Professor VI Emerita of Information Studies in the Graduate School of Education and Information Studies, University of California, Los Angeles.

Nicholas J. Belkin is a professor at the School of Communication and Information at Rutgers University. Among the main themes of his research are digital libraries; information-seeking behaviors; and interaction between humans and information retrieval systems. Belkin is best known for his work on human-centered Information Retrieval and the hypothesis of Anomalous State of Knowledge (ASK). Belkin realized that in many cases, users of search systems are unable to precisely formulate what they need. They miss some vital knowledge to formulate their queries. In such cases it is more suitable to attempt to describe a user's anomalous state of knowledge than to ask the user to specify her/his need as a request to the system.

In psychology, context-dependent memory is the improved recall of specific episodes or information when the context present at encoding and retrieval are the same. In a simpler manner, "when events are represented in memory, contextual information is stored along with memory targets; the context can therefore cue memories containing that contextual information". One particularly common example of context-dependence at work occurs when an individual has lost an item in an unknown location. Typically, people try to systematically "retrace their steps" to determine all of the possible places where the item might be located. Based on the role that context plays in determining recall, it is not at all surprising that individuals often quite easily discover the lost item upon returning to the correct context. This concept is heavily related to the encoding specificity principle.

Stephen Robertson is a British computer scientist. He is known for his work on probabilistic information retrieval together with Karen Spärck Jones and the Okapi BM25 weighting model.

Information behavior is a field of information science research that seeks to understand the way people search for and use information in various contexts. It can include information seeking and information retrieval, but it also aims to understand why people seek information and how they use it. The term 'information behavior' was coined by Thomas D. Wilson in 1982 and sparked controversy upon its introduction. The term has now been adopted and Wilson's model of information behavior is widely cited in information behavior literature. In 2000, Wilson defined information behavior as "the totality of human behavior in relation to sources and channels of information".

Collaborative information seeking (CIS) is a field of research that involves studying situations, motivations, and methods for people working in collaborative groups for information seeking projects, as well as building systems for supporting such activities. Such projects often involve information searching or information retrieval (IR), information gathering, and information sharing. Beyond that, CIS can extend to collaborative information synthesis and collaborative sense-making.

<span class="mw-page-title-main">Elfreda Chatman</span> American academic librarian

Elfreda Annmary Chatman (1942-2002) was an African-American researcher, professor, and former Catholic religious sister. She was well known for her ethnographic approaches in researching information seeking behaviors among understudied or minority groups.

Fuzzy-trace theory (FTT) is a theory of cognition originally proposed by Valerie F. Reyna and Charles Brainerd that draws upon dual-trace conceptions to predict and explain cognitive phenomena, particularly in memory and reasoning. The theory has been used in areas such as cognitive psychology, human development, and social psychology to explain, for instance, false memory and its development, probability judgments, medical decision making, risk perception and estimation, and biases and fallacies in decision making.

In psychology, confabulation is a memory error consisting of the production of fabricated, distorted, or misinterpreted memories about oneself or the world. It is generally associated with certain types of brain damage or a specific subset of dementias. While still an area of ongoing research, the basal forebrain is implicated in the phenomenon of confabulation. People who confabulate present with incorrect memories ranging from subtle inaccuracies to surreal fabrications, and may include confusion or distortion in the temporal framing of memories. In general, they are very confident about their recollections, even when challenged with contradictory evidence.

Temporal information retrieval (T-IR) is an emerging area of research related to the field of information retrieval (IR) and a considerable number of sub-areas, positioning itself, as an important dimension in the context of the user information needs.

Wilson's model of information seeking behaviour was born out of a need to focus the field of information and library science on human use of information, rather than the use of sources.

<span class="mw-page-title-main">Lisa M. Given</span> Canadian-Australian scholar of information studies

Lisa Mae Given is a Canadian-Australian information studies academic. She is currently Director, Social Change Enabling Capability Platform and Professor of Information Sciences at RMIT University in Melbourne, Australia. She is Editor-in-Chief of the Annual Review of Information Science and Technology.

References

  1. Brown, C. M.; Ortega, L. (2007). "Information seeking behaviour of physical science librarians: Does research inform practice". College & Research Libraries. 66 (3): 231–247. doi: 10.5860/crl.66.3.231 .
  2. Hemminger, B. M.; Lu, D.; Vaughan, K. T. L.; Adams, S. J. (2007). "Information seeking behaviour of academic scientists". Journal of the American Society for Information Science and Technology. 58 (14): 2205–2225. doi:10.1002/asi.20686. S2CID   6142949.
  3. Davies, K.; Harrison, J. (2007). "The information-seeking behaviour of doctors: A review of the evidence". Health Information & Libraries Journal. 24 (2): 78–94. doi:10.1111/j.1471-1842.2007.00713.x. PMID   17584211.
  4. Robinson, M. A. (2010). "An empirical analysis of engineers' information behaviors". Journal of the American Society for Information Science and Technology. 61 (4): 640–658. doi:10.1002/asi.21290. S2CID   15130260.
  5. Kuhlthau, C. C.; Tama, S. L. (2001). "Information search process of lawyers: A call for 'just for me' information services". Journal of Documentation. 57 (1): 25–43. doi:10.1108/EUM0000000007076.
  6. Solomon, Y.; Bronstein, J. (2021). "The information-gathering practice of liberal professionals in a workplace setting: More than just seeking information". Journal of Librarianship and Information Science. TBA (TBA): 54–68. doi:10.1177/0961000621992810. S2CID   233978764.
  7. The Sun, Feng; Cai, Guoray (7 June 2017). Community Issue Review: Crystallizing Knowledge for Encouraging Civic Engagement. ACM. pp. 260–269. doi:10.1145/3085228.3085293. ISBN   9781450353175. S2CID   31914413.
  8. Solomon, Y.; Bronstein, J. (2021). "The information-gathering practice of liberal professionals in a workplace setting: More than just seeking information". Journal of Librarianship and Information Science. TBA (TBA): 54–68. doi:10.1177/0961000621992810. S2CID   233978764.
  9. Khosrowjerdi, M. 2016. A review of theory-driven models of trust in the online health context. IFLA Journal, 42 (3), 189-206, available http://journals.sagepub.com/doi/abs/10.1177/0340035216659299
  10. Khosrowjerdi, M., Sundqvist, A., Byström, K. (2019). Cultural Patterns of Information Source Use: A Global Study of 47 Countries. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24292
  11. Robinson, M. A. (2010). "An empirical analysis of engineers' information behaviors". Journal of the American Society for Information Science and Technology. 61 (4): 640–658. doi:10.1002/asi.21290. S2CID   15130260.

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