article

Mental models: a theoretical overview and preliminary study

Author:

Lynn WestbrookAuthors Info & Claims

Journal of Information Science, Volume 32, Issue 6

Pages 563 - 579

https://doi.org/10.1177/0165551506068134

Published: 01 December 2006 Publication History

Abstract

Within the socio-cognitive framework of sense-making, this paper explicates the term 'mental model' and its associated concepts, analyzes the controversies and connections pertaining to mental model research in information studies, and reports the findings of an exploratory study of the mental models of an academic information system. As one aspect of the process of making sense out of their experiences, individuals develop mental models of the systems and processes with which they interact. These models include (1) key components, (2) relationships between those components, and (3) techniques for interacting with the system or process. The small-scale study discussed here identifies three distinct patterns across the models of information seeking held by graduate students in a reference course.

References

[1]

E. Fischbein, D. Tirosh, R. Stavy and A. Oster, The autonomy of mental models, For the Learning of Mathematics 10(1) (1990) 24-24.

[2]

L. Foreman-Wernet, Rethinking communication: introducing the sense-making methodology. In: B. Dervin and L. Foreman-Wernet (eds), Sense-Making Methodology Reader (Hampton Press, Cresskill, NJ, 2003) 3-16.

[3]

B. Dervin, Useful theory for librarianship: communication, not information, Drexel Library Quarterly 13 (1982) 16-32.

[4]

D. Case, Looking for Information (Academic Press, Amsterdam, 2002) 146-148.

[5]

D. Schaeffer and B. Dervin, Online discussion groups, situation movement states, and dialogic quality: the potential for democratic electronic public sphere. Paper presented at the International Communication Association Annual Meeting, (New York, NY, 2005) 6. Available at: http://communication.Sbs.ohio-state.edu/sense-making/art/artlist.html (accessed 19 December 2005).

[6]

S. Kim, Collaborative interaction behaviors in an information technology problem-solving context: cognitive movements of the helper and the helped, Journal of Information Science 31(6) (2005) 483-495.

[7]

B. Dervin, Communication gaps and inequities: moving toward a reconceptualization. In: B. Dervin and L. Foreman-Wernet (eds), Sense-Making Methodology Reader: Selected Writings of Brenda Dervin(Hampton Press, Cresskill, NJ, 2003) 34-34.

[8]

K. Craik, The Nature of Explanation (Cambridge University Press, Cambridge, UK, 1943).

[9]

P. Johnson-Laird, Mental models. In: M. Posner (ed.), Foundations of Cognitive Science (MIT Press, Cambridge, 1989), 469-499. MA

Digital Library

[10]

P. Johnson-Laird, Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness(Harvard University Press, Cambridge, MA, 1983) 397-397.

Digital Library

[11]

P. Johnson-Laird, Deductive reasoning, Annual Review of Psychology 50 (1999) 109-135.

[12]

D. Norman, Some observations on mental models. In: D. Gentner and A. Stevens (eds), Mental Models(Lawrence Earlbaum, Hillsdale, NJ, 1983).

[13]

A. Markham and D. Gentner, Thinking, Annual Review of Psychology 52 (2001) 223-247.

[14]

E. Jacob and D. Shaw, Sociocognitive perspectives on representation, Annual Review of Information Science and Technology (1998) 136-136.

[15]

E. Jacob and D. Shaw, Sociocognitive perspectives on representation, Annual Review of Information Science and Technology (1998) 157-158.

[16]

J. Doyle and D. Ford, Mental models concepts for system dynamics research, System Dynamics Review14 (1998) 17-17.

[17]

H. Ramsey and J. Grimes, Human factors in interactive computer dialog, Annual Review of Information Science and Technology (1983) 44-44.

[18]

D. Besnard, D. Greathead and G. Baxter, When mental models go wrong: co-occurrences in dynamic, critical systems, International Journal of Human-Computer Studies60 (2003) 117-128.

Digital Library

[19]

S. Brandt, Reference, mental models, and teaching technology, Reference Librarian 74 (2001) 42-42.

[20]

S. Brandt and L. Uden, Insight into mental models of novice Internet searchers, Communications of the ACM 46(7) (2003) 133-133.

Digital Library

[21]

J. Turner and F. Bélanger, Escaping from Babel: improving the terminology of mental models in the literature of human-computer interaction, Canadian Journal of Information and Library Science 21(3/4) (1996) 35-58.

[22]

C. Borgman and Y. Plute, User models for information systems: prospects and problems. In: F. W. Lancaster and Linda Smith (eds), Artificial Intelligence and Expert Systems: Will They Change the Library (Graduate School of Library and Information Science, University of Illinois, Urbana-Champaign, IL, 1992) 178-193.

[23]

K. Jarvelin and T. D. Wilson, On conceptual models for information seeking and retrieval research, Information Research 9(1) (2003). Available at: http://informationR.net.ir/q-1/paper163.html (accessed 20 October 2004).

[24]

C. Borgman, Psychological research in human-computer interaction, Annual Review of Information Science and Technology (1984) 37-37.

[25]

R. Palmquist, Cognitive style and users' metaphors for the web: an exploratory study, Journal of Academic Librarianship 27(1) (2001) 24-32.

[26]

P. Burt and M. Kinnucan, Information models and modeling techniques for information systems, Annual Review of Information Science and Technology (1990) 184-184.

[27]

P. Burt and M. Kinnucan, Information models and modeling techniques for information systems, Annual Review of Information Science and Technology (1990) 182-182.

[28]

W. Brewer, Schemas versus mental models in human memory. In: P. Morris (ed.) Modeling Cognition (John Wiley and Sons, Chichester, 1987) 187-197.

[29]

C. Borgman, Psychological research in human-computer interaction, Annual Review of Information Science and Technology (1984) 36-36.

[30]

G. Ashby and T. Maddox, Human category learning, Annual Review of Psychology 56 (2005) 149-178.

[31]

J. García-Madruga, F. Gutiérrez, N. Carriedo, S. Morena and P. Johnson-Laird, Mental models in deductive reasoning, The Spanish Journal of Psychology 5(2) (2002) 126-126.

[32]

P. Legrenzi, V. Girotto and P. N. Johnson-Laird, Models of consistency, Psychological Science 14(2) (2003) 131-137.

[33]

E. Jacob and D. Shaw, Sociocognitive perspectives on representation, Annual Review of Information Science and Technology (1998) 139-139.

[34]

B. Frohmann, Rules of indexing: a critique of mentalism in information retrieval theory, Journal of Documentation 46 (1990) 81-101.

Digital Library

[35]

E. Jacob and D. Shaw, Sociocognitive perspectives on representation, Annual Review of Information Science and Technology (1998) 139-139.

[36]

P. Ingwersen, Information and information science in context, Libri 42 (1992) 99-135.

[37]

B. Frohmann, The power of images: a discourse analysis of the cognitive viewpoint, Journal of Documentation 48(4) (1992) 371-371.

Digital Library

[38]

E. Jacob and D. Shaw, Sociocognitive perspectives on representation, Annual Review of Information Science and Technology (1998) 142-142.

[39]

S. Sawyer and K. Eschenfelder, Social informatics: perspectives, examples, and trends, Annual Review of Information Science and Technology (2002) 443-443.

[40]

S. Sawyer and K. Eschenfelder, Social informatics: perspectives, examples, and trends, Annual Review of Information Science and Technology (2002) 441-441.

[41]

E. Novotny, I don't think I click: a protocol analysis study of use of a library online catalog in the Internet age, College & Research Libraries 65(6) (2004) 525-537.

[42]

S. Brandt and L. Uden, Insight into mental models of novice Internet searchers, Communications of the ACM 46(7) (2003).

Digital Library

[43]

K. Byström and P. Hansen, Conceptual framework for tasks in information studies, Journal of the Association of Information Science and Technology 56(10) (2005) 1050-1061.

Digital Library

[44]

M. Foucault, Discipline and Punish (Vintage, New York, 1979).

[45]

D. Armstrong, A New History of Identity: A Sociology of Medical Knowledge (Palgrave, Basingstoke, UK, 2002).

[46]

J. Potter, Discourse analysis as a way of analyzing naturally occurring talk. In: D. Silverman (ed.), Qualitative Research: Theory, Method, and Practice, 2nd edn (SAGE Publications, London, 2004), 144-160.

[47]

B. Frohmann, The power of images: a discourse analysis of the cognitive viewpoint, Journal of Documentation 48(4) (1992) 365-386.

Digital Library

[48]

B. Hjorland and H. Albrechtsen, Toward a new horizon in information science: domain-analysis, Journal of the American Society for Information Science, 46 (1995) 400-425.

Digital Library

[49]

M. Bates, Speculations on browsing, directed searching, and linking in relation to the Bradford distribution. In: H. Bruce, R. Fidel, P. Ingwersen and P. Vakkari (eds), Emerging Frameworks and Methods: Proceedings of the Fourth International Conference on Conceptions of Library and Information Science (Libraries Unlimited, Greenwood Village, CO, 2002) 137-149.

[50]

C. Palmer, Aligning studies of information seeking and use with domain analysis, Journal of the American Society for Information Science, 50 (1999) 1139-1140.

Digital Library

[51]

H. Andersen, Influence and reputation in the social sciences: how much do researchers agree? Journal of Documentation, 56(6) (2000) 674-692.

[52]

B. Dervin, Human studies and user studies: a call for methodological inter-disciplinarity, Information Research 9(1) (2003). Available at http://infomation.net/ir/q-1/paper1bb.html (accessed 9 January 2006).

[53]

B. Ju and M. Gluck, User-process model approach to improve user interface usability, Journal of the Association of Information Science and Technology 56(10) (2005) 1098-1112.

Digital Library

[54]

A. Dillon, Beyond usability: process, outcome, and affect in human computer interactions, The Canadian Journal of Information and Library Science 26(4) (2001) 57-69.

[55]

P. Chalmers, The role of cognitive theory in human-computer interface, Computers in Human Behavior, 19 (2003) 593-607.

[56]

S. Augustine and C. Greene, Discovering how students search a library web site: a usability case study, College & Research Libraries 63(4) (2002) 354-365.

[57]

B. Emond and R. West, Cyberpsychology: a human-interaction perspective based on cognitive modeling, Cyberpsychology & Behavior 6(5) (2003) 527-536.

[58]

B. Leiser, The presence phenomenon and other problems of applying mental models to user interface design and evaluation. In: Y. Rogers, A. Rutherford and P. Bibby (eds) Models in the Mind: Theory, Perspective and Application (Academic Press, London, 1992) 267-281.

[59]

N. Ford, Modeling cognitive processes in information seeking: from Popper to Pask, Journal of the Association of Information Science and Technology 55(9) (2004) 769-782.

Digital Library

[60]

D. Slone, The influence of mental models and goals on search patterns during web interaction, Journal of the Association of Information Science and Technology 53(13) (2002) 1152-1169.

Digital Library

[61]

A. Dimitroff, Mental models theory and search outcome in a bibliographic retrieval system, Library and Information Science Research 14 (1992) 141-156.

[62]

E. Ballesteros, <it>Unconscious cognition in the conduct of inquiry: an information counseling approach</it>. (Doctoral dissertation, University of Texas at Austin, 1995).

[63]

G. Harmon and E. Ballesteros, Unconscious cognition: the elicitation of deeply embedded information needs. In: P. Vakkari, R. Savolainen and B. Dervin (eds), Information Seeking in Context: Proceedings of an International Conference on Research in Information Needs, Seeking and Use in Different Contexts 14-16 August, 1996, Tampere, Finland (Taylor Graham, London, 1996) 422-433.

Digital Library

[64]

A. Banks and L. Millward, Running shared mental models as a distributed cognitive process, British Journal of Psychology 91 (2000) 513-531.

[65]

J. Mathieu, T. Heffner, G. Goodwin, E. Salas and J. Cannon-Bowers, The influence of shared mental models on team process and performance, Journal of Applied Psychology 85(2) (2000) 273-283.

[66]

H. Bruce, Perceptions of the Internet: what people think when they search the Internet for information, Internet Research 9(3) (1999) 187-199.

[67]

K. Guinee, M. Eagleton and T. Hall, Adolescents' Internet search strategies: drawing upon familiar cognitive paradigms when accessing electronic information sources, Journal of Educational Computing Research 29(3) (2003) 363-374.

[68]

G. Halford, Children's Understanding: The Development of Mental Models (Lawrence Erlbaum Associates, Hillsdale, NJ, 1993).

[69]

J. Carroll and J. Olson, Mental models in human-computer interaction. In: M. Helander (ed.) Handbook of Human-Computer Interaction (Elsevier Science Publishers, 1988) 45-62.

[70]

P. Barker, P. van Schaik and S. Hudson, Mental models and lifelong learning, Innovations in Education and Training International 35(4) (1998) 310-318.

[71]

P. Bibby, Mental models, instructions, and internalization. In: Y. Rogers, A. Rutherford and P. Bibby (eds), Models in the Mind: Theory Perspective and Application (Academic Press, London, 1992) 153-172.

[72]

C. Borgman, The user's mental model of an information retrieval system: an experiment on a prototype online catalog, International Journal of Human-Computer Studies 51 (1999) 435-452.

Digital Library

[73]

C. Cole and J. Leide, Using the user's mental model to guide the integration of information space into information need, Journal of the American Society for Information Science and Technology 54(1) (2003) 39-46.

Digital Library

[74]

M. Block, Mapping the information landscape, Searcher10(4) (2002) 44-48.

[75]

D. Schaeffer and B. Dervin, Online discussion groups, situation movement states, and dialogic quality: the potential for democratic electronic public sphere. Paper presented at the International Communication Association Annual Meeting (New York, NY, 2005) 8. Available at: http://communication.sbs.ohiostate.edu/sense-making/art/artist.html. (accessed 19 December 2005).

[76]

A. Strauss, Qualitative Analysis for Social Scientists (Cambridge University Press, Cambridge, UK, 1987).

[77]

M. Miles and M. Huberman, Qualitative Data Analysis (SAGE Publications, Newbury Park, CA 1984).

[78]

K. Krippendorff, Content analysis (SAGE Publications, Beverly Hills, CA 1980).

[79]

Quotation from a study subject; no identifying information permitted.

[80]

Quotation from a study subject; no identifying information permitted.

[81]

B. Dervin, Libraries reaching out with health information to vulnerable populations: guidance from research on information seeking and use, Journal of the Medical Library Association 93(4 Supplement) (2005) S76-S76.

[82]

M. Bates, The berry-picking search: user interface design. In: M. Dillon (ed.), Interfaces for Information Retrieval and Online Systems (Greenwood Press, New York, 1991).

[83]

B. Dervin, Libraries reaching out with health information to vulnerable populations: guidance from research on information seeking and use, Journal of the Medical Library Association 93(4)(Supplement) (2005) S78-S79.

[84]

P. Vigil, The software interface, Annual Review of Information Science and Technology (1986) 75-75.

[85]

G. Marchionini and A. Komlodi, Design of interfaces for information seeking, Annual Review of Information Science and Technology (1998) 105-105.

[86]

T. Baguley and S. Payne, Long-term memory for spatial and temporal mental models includes construction processes and model structure, The Quarterly Journal of Experimental Psychology 53A(2) (2000) 506-506.

[87]

N. Seel, Epistemology, situated cognition, and mental models: 'like a bridge over troubled water', Instructional Science 29 (2001) 403-427.

[88]

U. Von Hecker, Disambiguating a mental model: influence of social context, The Psychological Record54(1) (2004) 27-27.

[89]

C. Borgman, Psychological research in human-computer interaction, Annual Review of Information Science and Technology (1984) 50-50.

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cover image Journal of Information Science

Journal of Information Science Volume 32, Issue 6

December 2006

98 pages

ISSN:0165-5515

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Sage Publications, Inc.

United States

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Published: 01 December 2006

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https://dl.acm.org/doi/10.1007/s10111-024-00766-6
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