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Use of 5E models to enhance user experience

Published: 30 September 2013 Publication History

Abstract

Understanding the terminology used by different user groups as they interact with a system's information is a primary focus of information analysis. User terminology directly reflects audience groups' mental models, how they perceive the overall situation, and how their needs differ from other groups. The web of mappings of terminology between user groups and system interaction goals provides a path to developing a 5E model that can be carried forward into the design process. During the early information analysis, the designers and user experience people have to analyze multiple audiences, create personas, create a 5E model for each persona, and then resolve and merge the differences so that the final design works for all audiences. Building 5E models for multiple audiences provides a method to optimize across those audiences.

References

[1]
Albers, M. (2004). Communication of Complex Information: User Goals and Information Needs for Dynamic Web Information. Mahwah, NJ: Erlbaum.
[2]
Albers, M. (2010). Usability and information relationships: Considering content relationships when testing complex information. In M. Albers & B. Still. (Eds). Usability of Complex Information Systems: Evaluation of User Interaction (109--132). Boca Ratan, Fl: CRC Press.
[3]
Albers, M. (2012a). Communication as reducing uncertainty. 30th Annual International Conference on Design of Communication. Seattle, WA. October 4-5, 2012.
[4]
Albers, M. (2012b). Information analysis: A complex socio-technical problem. Presented at Symposium on Communicating Complex Information. Greenville, NC. February 24-25, 2012.
[5]
Avgerou, C. (2001). The significance of context in information systems and organizational change. Information Systems Journal 11, 43--63.
[6]
Bannon, L. (2011). Reimaging HCI: Toward a more human-centered perspective. Interactions 13.4, 50--57.
[7]
Baxter, G. & Sommerville, I. (2011). Socio-technical systems: From design methods to systems engineering. Interacting with Computers 23, 4--17.
[8]
Dekker, S. (2011). Drift into Failure: From Hunting Broken Components to Understanding Complex Systems. Burlington, VT: Ashgate.
[9]
Drucker, P. (1998). The coming of the new organization. Harvard Business Review on Knowledge Management (pp. 1--19). Boston: Harvard Business School Publishing.
[10]
Hailey, D. (2010) Combining rhetorical theory with usability theory to evaluate quality of writing in web-based texts. In M. Albers & B. Still. (Eds). Usability of Complex Information Systems: Evaluation of User Interaction (17--46). Boca Ratan, Fl: CRC Press.
[11]
Klein, G. (1999). Sources of Power: How People Make Decisions. Cambridge, MA: MIT.
[12]
Morrison, J., Pirolli, P., & Card, S. (2001). A taxonomic analysis of what world wide web activities significantly impact people's decisions and actions. Presented at the Association for Computing Machinery's Conference on Human Factors in Computing Systems, Seattle. March 31 - April 5, 2001.
[13]
Quesenbery, W. (2002). Dimensions of usability. In Albers, M. & B. Mazur. (Eds). Content and Complexity: Information Design in Technical Communication (pp. 81--102). Mahwah, NJ: Erlbaum.
[14]
Redish, J. (2013). Purposes, personas, conversations. Presented at the STC Technical Communication Summit. Atlanta GA. May 6-8, 2013.
[15]
Turner, B. & Pigeon, N. (1997). Man Made Disasters. Oxford, UK: Butterworth-Heinemann.

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  1. Use of 5E models to enhance user experience

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    cover image ACM Conferences
    SIGDOC '13: Proceedings of the 31st ACM international conference on Design of communication
    September 2013
    200 pages
    ISBN:9781450321310
    DOI:10.1145/2507065
    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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    Published: 30 September 2013

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    Author Tags

    1. 5e models
    2. human-centered design
    3. information design
    4. information relationships
    5. technical communication

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    SIGDOC'13
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    SIGDOC'13: The 31th ACM International Conference on Design of Communication
    September 30 - October 1, 2013
    North Carolina, Greenville, USA

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    Overall Acceptance Rate 355 of 582 submissions, 61%

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