extended-abstract

Socially cued mental models

Authors:

Abhay Sukumaran,

Clifford NassAuthors Info & Claims

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

Pages 3379 - 3384

https://doi.org/10.1145/1753846.1753988

Published: 10 April 2010 Publication History

Abstract

We investigate how initial mental models of a photo sharing website are shaped by observing the behavior of existing users. We manipulate experimentally whether content with critical or popular appeal is highlighted as the best content on the website. Despite interacting with uniform site content and interface design, user's mental models are significantly influenced by social cues embedded in content highlighting behavior, manifesting differential behavioral explanations, audience perceptions, and predictions of unseen features. Results are interpreted within a specific theory of socialized mental models.

References

[1]

Burke, M., Marlow, C. and Lento, T., Feed me: motivating newcomer contribution in social network sites. In Proc CHI 2009, ACM Press (2009), 945--954.

Digital Library

[2]

Cockburn, A. and Jones, S. Which way now? Analysing and easing inadequacies in WWW navigation. IJHCS, 45, 1 (1996), 105--130.

Digital Library

[3]

Fein, R.M., Olson, G.M. and Olson, J.S., A mental model can help with learning to operate a complex device. in Proc. Human Factors in Computing Systems 1993, ACM Press (1993).

Digital Library

[4]

Joyce, E. and Kraut, R.E. Predicting continued participation in newsgroups. Journal of Computer-Mediated Communication 11, 3 (2006), 723--747.

[5]

Kieras, D.E. and Bovair, S. The role of a mental model in learning to operate a device. Cognitive Science: A Multidisciplinary Journal 8, 3 (1984), 255--273.

[6]

Lampe, C. and Johnston, E., Follow the (slash) dot: effects of feedback on new members in an online community. In Proc. ACM SIGGROUP on Supporting Group Work, ACM Press (2005), 11--20.

Digital Library

[7]

Lerman, K. Social information processing in news aggregation. IEEE Internet Computing 11, 6 (2007), 16--28.

Digital Library

[8]

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

[9]

Muramatsu, J. and Pratt, W., Transparent Queries: investigation users' mental models of search engines. In Proc. ACM Information Retrieval 2001, ACM Press (2001), 217--224.

Digital Library

[10]

Nielsen, J. A meta-model for interacting with computers. Interacting with computers 2, 2 (1990), 147--160.

Digital Library

[11]

Norman, D.A. The psychology of everyday things. Basic Books, 1988.

[12]

Orlikowski, W.J. and Gash, D.C. Technological frames: making sense of information technology in organizations. ACM Transactions on information systems, 12, 2 (1994), 174--207.

Digital Library

[13]

Payne, S.J. Users' mental models: The very ideas. In Carroll, J.M. (Ed.) HCI Models, theories and frameworks: Toward a multidisciplinary science. Morgan Kaufman, 2003, 135--156.

[14]

Salganik, M.J., Dodds, P.S. and Watts, D.J. Experimental study of inequality and unpredictability in an artificial cultural market. Science 311, 5762 (2006), 854 -- 856.

[15]

Slone, D.J. The influence of mental models and goals on search patterns during web interaction. Journal of the American society for information science and technology 53, 13 (2002).

Digital Library

[16]

Sundar, S.S., Oeldorf-Hirsch, A. and Xu, Q. The bandwagon effect of collaborative filtering technology Ext. Abstracts CHI 2008, ACM Press (2008), 3453--3458.

Digital Library

[17]

Young, R.M. Machine Inside the Machine: Users' Models of Pocket Calculators. Int. J. Man-Mach. Studies 15, 1 (1981), 51--85.

Cited By

Do HBrachman MDugan CPan QRai PJohnson JThawani R(2024)Evaluating What Others Say: The Effect of Accuracy Assessment in Shaping Mental Models of AI SystemsProceedings of the ACM on Human-Computer Interaction10.1145/36869128:CSCW2(1-26)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686912
Williams KBigelow AIsaacs K(2023)Data Abstraction Elephants: The Initial Diversity of Data Representations and Mental ModelsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580669(1-24)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580669

Index Terms

Socially cued mental models
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms

Recommendations

Tag suggestion and localization in user-generated videos based on social knowledge
WSM '10: Proceedings of second ACM SIGMM workshop on Social media

Nowadays, almost any web site that provides means for sharing user-generated multimedia content, like Flickr, Facebook, YouTube and Vimeo, has tagging functionalities to let users annotate the material that they want to share. The tags are then used to ...
Network Characteristics and the Value of Collaborative User-Generated Content

User-generated content is increasingly created through the collaborative efforts of multiple individuals. In this paper, we argue that the value of collaborative user-generated content is a function both of the direct efforts of its contributors and of ...
What makes user-generated content more helpful on social media platforms? Insights from creator interactivity perspective
Abstract
A growing number of enterprises begin to utilize user-generated content (UGC) to help build brand awareness and loyalty on social media platforms. Thus, it is important to investigate what makes UGC more helpful under the new social ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

April 2010

2219 pages

ISBN:9781605589305

DOI:10.1145/1753846

General Chairs:
Elizabeth Mynatt
Georgia Institute of Technology
,
Don Schoner
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

Copyright © 2010 Copyright is held by the author/owner(s).

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Extended-abstract

Conference

CHI '10

Sponsor:

SIGCHI

CHI '10: CHI Conference on Human Factors in Computing Systems

April 10 - 15, 2010

Georgia, Atlanta, USA

Acceptance Rates

CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
314
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Do HBrachman MDugan CPan QRai PJohnson JThawani R(2024)Evaluating What Others Say: The Effect of Accuracy Assessment in Shaping Mental Models of AI SystemsProceedings of the ACM on Human-Computer Interaction10.1145/36869128:CSCW2(1-26)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686912
Williams KBigelow AIsaacs K(2023)Data Abstraction Elephants: The Initial Diversity of Data Representations and Mental ModelsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580669(1-24)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580669

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten