Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Knowledge-based Modes of Human-Computer Interaction
Guest editors: Maria Virvou and George A. Tsihrintzis
Article type: Research Article
Authors: Alotaibi, Mutlaq B.a; * | Rigas, Dimitrios I.b
Affiliations: [a] Department of information systems at Al-Imam University, P. O. Box 93844, Riyadh 11683, Saudi Arabia | [b] Department of media technology at De Montfort University, Leicester LE1 9BH, UK | Department of Informatics, The University of Piraeus, 80, Karaoli & Dimitriou St., 185 34 Piraeus Greece
Correspondence: [*] Corresponding author. Tel.: +966 1 258 1875; Fax: +966 1 259 1616; E-mail: [email protected]
Abstract: This paper describes a comparative evaluation study carried out to assess the effect of incorporating avatars with facial expressions into interfaces of Electronic Customer Knowledge Management Systems (E-CKMS) on not only usability of E-CKMS, but also the user's trust and knowledge. Although the implementation of E-CKMS encounters several challenges, such as the lack of trust and information overload, few empirical studies were devoted to examine the role of metaphors of audio-visual nature. As a result, an empirical investigation was carried out by implementing avatars-enhanced multimodal E-CKMS (ACKMS) and comparing it with the text with graphics E-CKMS (VCKMS) and anther multimodal E-CKMS (MCKMS) that incorporated speech, earcons and auditory icons. The three experimental systems were evaluated by three independent groups of twenty users each (n=60) who performed eight common tasks of increasing complexity and design based on three different styles. The results therein revealed that the ACKMS outperform both MCKMS and VCKMS with regard to effectiveness, efficiency and the user's trust and knowledge.
Keywords: Expressive avatars, facial expressions, usability and trust, customer knowledge management
DOI: 10.3233/IDT-2010-0079
Journal: Intelligent Decision Technologies, vol. 4, no. 3, pp. 181-195, 2010
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]