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Do people trust their eyes more than their ears? media bias while seeking expert advice

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. Green open access

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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
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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