Article

Information salience and interpreting information

Author:

Michael J. AlbersAuthors Info & Claims

SIGDOC '07: Proceedings of the 25th annual ACM international conference on Design of communication

Pages 80 - 86

https://doi.org/10.1145/1297144.1297163

Published: 22 October 2007 Publication History

Abstract

The information available for many situations often causes information overload. To help prevent this overload, the designer and writer need to carefully consider the issues of what are the most salient information elements for the reader and what can be done to queue the reader that this is the most salient information.

References

[1]

Albers, M. (2003). Complex problem solving and content analysis. In M. Albers & B. Mazur (Eds.), Content and Complexity: Information Design in Software Development and Documentation (pp. 263--284). Mahwah, NJ: Erlbaum.

[2]

Andriole, S., & Adelman, L. (1995). Cognitive System Engineering for User-Computer Interface Design, Prototyping, and Evaluation. Mahwah, NJ: Lawrence Erlbaum Associates.

Digital Library

[3]

Ash, J., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: The nature of patient care information system-related errors. Journal of the American Medical Informatics Association 11.2, 104--112.

[4]

Bedell, S., Agrawal, A., & Petersen, L. (2004). A systematic critique of diabetes on the world wide web for patients and their physicans. International Journal of Medical Informatics, 73, 687--694.

[5]

Bernstam, E., Sagaram, S., Walji, M., Johnson, C. & Meric-Bernstam, F. (2005). Usability of quality measures for online health information: Can commonly used technical quality criteria be reliably assessed? International Journal of Medical Informatics 74, 675--683.

[6]

Chalmers, M. (2004). A historical view of context. Computer Supported Cooperative Work, 13, 223--247.

Digital Library

[7]

Duin, A. (1989). Factors that influence how readers learn from test: Guidelines for structuring technical documents. Technical Communication 36.2, 97--101.

[8]

Dunlosky, J. Rawson, K. & Middleton, E. (2005). What constrains the accuracy of metacomprehension judgments? Testing the transfer-appropriate-monitoring and accessibility hypotheses. Journal of Memory and Language, 52, 551--565.

[9]

Einhorn, H. J. & Hogarth, R. M. (1981). Behavioral decision theory: Processes of judgment and choice. Annual Review of Psychology, 32, 53--88.

[10]

Einstein, G., McDaniel, M., Owen, P., & Cote, N. (1990). Encoding and recall of texts: The importance of material appropriate processing. Journal of Memory and Language, 29, 566--581.

[11]

Endsley, M. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, 37.1, 32--64.

[12]

Farris, J. S., Jones, K., & Elgin, Pl (2002). Users' schemata of hypermedia: What is so 'spatial' about a website? Interacting with Computers, 14, 487--502.

[13]

Ganzach, Y & Schul, Y. (1995). The influence of quantity of information and goal framing on decisions. Acta Psychologia, 89, 23--36.

[14]

Johnson, E., Payne, J., & Bettman, J. (1988). Information displays and preference reversals. Organizational Behavior and Human Decision Processes, 42, 1--21.

[15]

Klein, G. (1999). Sources of Power: How People make Decisions. Cambridge, MA: MIT.

[16]

Koriat, A. (1995). Dissociating knowing and the feeling of knowing: Further evidence for the accessibility model. Journal of Experimental Psychology: General, 124, 311--333.

[17]

Kushniruk, A, Triola, M., Borycki, E., Stein, B. & Kannry, J. (2005). Technology induced error and usability: The relationship between usability problems and prescription errors when using a handheld application. International Journal of Medical Informatics 74, 519--526.

[18]

Lipson, M. (1982). Learning new information from text: The role of piror knowledge and reading ability. Journal of Reading Behavior 14.3, 243--261.

[19]

Lukoscheka, P., Fazzarib, M., & Marantz, P. (2003). Patient and physician factors predict patients' comprehension of health information. Patient Education and Counseling, 50, 201--210.

[20]

McGovern, G. (2006). Is your content a waste of time and money? New Thinking. Available online: http://www.gerrymcgovern.com/nt/2006/nt-2006-02-06-content-value.htm

[21]

McNamara, D. S. (2001). Reading both high and low coherence texts: Effects of text sequence and prior knowledge. Canadian Journal of Experimental Psychology, 55, 51--62.

[22]

McNamara, D. S., & Kintsch, W. (1996). Learning from text: Effects of prior knowledge and text coherence. Discourse Processes, 22, 247--287.

[23]

Mumby, D. (1988). Communication and Power in Organizations: Discourse, Ideology, and Domination. Norwood, NJ: Ablex.

[24]

Nanard, J. & Nanard, M. (1995) Hypertext design environments and the hypertext design process. Communications of the ACM, 38.8, 49--56.

Digital Library

[25]

Owen, D. (1986). Answers first, then questions. In D. Norman & S. Draper (Eds.), User Centered System Design: New Perspectives on Human-computer Interaction. (pp. 362--375). Mahwah, NJ: Erlbaum.

[26]

Park, J. Yoon, W., & Ryu, H. (2000). Users' recognition of semantic affinity among tasks and the effects of consistency. International Journal of Human-Computer Interaction, 12.1, 89--105.

[27]

Parush, A. (2004). Interview with Donald Norman on Mental Models. May 4, 2005. http://www.carleton.ca/hotlab/hottopics/Articles/DonNormanInterview.html

[28]

Patel, V., Branch, T., & Arocha, J. (2002). Errors in interpreting quantities as procedures: The case of pharmaceutical labels. International Journal of Medical Informatics 65, 193--211.

[29]

Recht, D. & Leslie, L. (1988). Effect of prior knowledge on good and poor readers' memory of text. Journal of Educational Psychology, 80, 16--20.

[30]

Recht, D. & Leslie, L. (1988). Effect of prior knowledge on good and poor readers' memory of text. Journal of Educational Psychology, 80, 16--20.

[31]

Rothman A. J. & Kiviniemi M. T. (1999). Treating people with information: an analysis and review of approaches to communicating health risk information. J Natl Cancer Inst Monogr; 25: 44--51.

[32]

Schanteau, J. (1992). Competence in experts: The role of tasks characteristics. Organisational Behavior and Human Decision Processes, 53, 252--266.

[33]

Spyridakis, J. & Wenger, M. (1992). Writing for human performance: Relating reading research to document design. Technical Communication, 39.2, 202--215.

[34]

Thuring, M., Hannemann, J., & Haake, J. (1995). Hypermedia and cognition: Designing for comprehension. Communications of the ACM, 38, 57--66.

Digital Library

[35]

Wickens, C. & Hollands, J. (2000). Engineering Psychology and Human Performance. Upper Saddle River, New Jersey: Prentice Hall.

[36]

Woods D., & Cook, R. (1999). Perspectives on Human Error: Hindsight Bias and Local Rationality In Durso F., Nickerson R. & Schvanevelt J. (Eds.). Handbook of Applied Cognition. New York.

Cited By

Alcocer CTorres E(2024)Salience bias: A framework about the importance of prices and budget constraints perceptionsJournal of Behavioral and Experimental Economics10.1016/j.socec.2024.102212110(102212)Online publication date: Jun-2024
https://doi.org/10.1016/j.socec.2024.102212
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Index Terms

Information salience and interpreting information
1. Information systems

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cover image ACM Conferences

SIGDOC '07: Proceedings of the 25th annual ACM international conference on Design of communication

October 2007

286 pages

ISBN:9781595935885

DOI:10.1145/1297144

General Chair:
David Novick
The University of Texas at El Paso, TX
,
Program Chair:
Clay Spinuzzi
The University of Texas at Austin, TX

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 October 2007

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SIGDOC07: The 25th ACM International Conference on Design of Communication

October 22 - 24, 2007

Texas, El Paso, USA

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Overall Acceptance Rate 355 of 582 submissions, 61%

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https://doi.org/10.1016/j.socec.2024.102212
Smart MSood DVaccaro K(2022)Understanding Risks of Privacy Theater with Differential PrivacyProceedings of the ACM on Human-Computer Interaction10.1145/35557626:CSCW2(1-24)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555762
Bhandari AFreed DPilato TTaki FKaur GYale-Loehr SPowers JLong TBazarova N(2022)Multi-stakeholder Perspectives on Digital Tools for U.S. Asylum Applicants Seeking Healthcare and Legal InformationProceedings of the ACM on Human-Computer Interaction10.1145/35556426:CSCW2(1-21)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555642
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Hartzler AWeis BCahill CPratt WPark ABackonja UMcDonald D(2016)Design and Usability of Interactive User Profiles for Online Health CommunitiesACM Transactions on Computer-Human Interaction10.1145/290371823:3(1-33)Online publication date: 6-Jun-2016
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Jung JShin KSael LKang U(2016)Random Walk with Restart on Large Graphs Using Block EliminationACM Transactions on Database Systems10.1145/290173641:2(1-43)Online publication date: 11-May-2016
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