Riegelsberger, J;
Sasse, MA;
McCarthy, JD;
(2006)
Rich Media, Poor Judgement? A Study of Media Effects on Users’ Trust in Expertise.
In: McEwan, T and Gulliksen, J and Benyon, D, (eds.)
People and Computers XIX - The Bigger Picture.
(pp. 267 - 284).
Springer: UK, London.
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Abstract
In this paper, we investigate how interpersonal cues of expertise affect trust in different media representations. Based on a review of previous research, richer representations could lead either to a positive media bias (P1) or increased sensitivity for cues of expertise (P2). 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, orphoto+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 and advice uptake to infer their sensitivity to correct advice in a situation of financial risk. We found that most participants preferred seeking advice from the expert, but we also found a tendency for seeking audio and in particular video advice. Users' self-reports indicate that they believed that video in particular would give them the most detailed insight into expertise. Data for advice uptake, however, showed that all media representation, including text-only, resulted in good sensitivity to correct advice.
Type: | Proceedings paper |
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Title: | Rich Media, Poor Judgement? A Study of Media Effects on Users’ Trust in Expertise |
Event: | 19th Annual Conference of the British-Human-Computer-Interaction-Group - 2005 |
Location: | Naiper Univ, Edinburgh, SCOTLAND |
Dates: | 2005 |
ISBN-13: | 978-1-84628-192-1 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/1-84628-249-7_17 |
Publisher version: | http://dx.doi.org/10.1007/1-84628-249-7_17 |
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. |
Keywords: | trust, expertise, video, avatar, audio, photo, CMC, CSCW |
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/20290 |
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