Riegelsberger, J;
Sasse, MA;
McCarthy, JD;
(2005)
Do people trust their eyes more than their ears? media bias while seeking expert advice.
In:
Proceedings of CHI '05 Extended Abstracts on Human Factors in Computing Systems.
(pp. pp. 1745-1748).
ACM publishing: New York, NY, USA.
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Abstract
Enabling users to identify trustworthy actors is a key design concern in online systems and expertise is a core dimension of trustworthiness. In this paper, we investigate (1) users' ability to identify expertise in advice and (2) effects of media bias in different representations. In a laboratory study, we presented 160 participants with two advisors-one represented by text-only; the other represented by one of four alternate formats: video, audio, avatar, or photo+text. Unknown to the participants, one was an expert (i.e. trained) and the other was a non-expert (i.e. untrained). We observed participants' advice seeking behavior under financial risk as an indicator of their trust in the advisor. For all rich media representations, participants were able to identify the expert, but we also found a tendency for seeking video and audio advice, irrespective of expertise. Avatar advice, in contrast, was rarely sought, but-like the other rich media representations-was seen as more enjoyable and friendly than text-only advice. In a future step we plan to analyze our data for effects on advice uptake.
Type: | Proceedings paper |
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Title: | Do people trust their eyes more than their ears? media bias while seeking expert advice |
Event: | CHI '05 Extended Abstracts on Human Factors in Computing Systems |
Location: | Portland, OR, USA |
Dates: | 02 April 2005 - 07 April 2005 |
ISBN: | 1-59593-002-7 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/1056808.1057012 |
Publisher version: | http://dx.doi.org/10.1145/1056808.1057012 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/20284 |




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