Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61410
Title: | Exploring the design of avatars for users from Arabian culture through a hybrid approach of deductive and inductive reasoning |
Contributor(s): | Aljaroodi, Hussain M (author); Chiong, Raymond (author) ; Adam, Marc T P (author) |
Publication Date: | 2020-05 |
DOI: | 10.1016/j.chb.2020.106246 |
Handle Link: | https://hdl.handle.net/1959.11/61410 |
Abstract: | | While avatars are frequently employed as a user interface (UI) element for improving user experience in human computer interaction, the current design of avatars is primarily dominated by non-Arabian cultures. To the best of our knowledge, no previous research or guidelines (based on empirical evidence) can be found for avatar design in the context of Arabian culture. Aiming to address this gap, we conducted an exploratory study to investigate how avatars can be designed for Arab users. Following a hybrid approach of deductive and inductive reasoning, we reviewed the literature on UI design for Arabian culture, (non-Arabian) avatar design in human computer interaction research, and social response theory. Subsequently, we conducted 32 semi-structured interviews with Arabian culture experts, psychologists, and potential users. Based on thematic analysis of the interviews, we developed a set of six general guidelines for the design of avatars for users from Arabian culture. These six guidelines are expected to provide system or UI designers the ability to design and employ appropriate avatars that can promote Arab users' experience and engagement.
Publication Type: | Journal Article |
Source of Publication: | Computers in Human Behavior, v.106, p. 1-14 |
Publisher: | Elsevier Ltd |
Place of Publication: | United Kingdom |
ISSN: | 1873-7692 0747-5632 |
Fields of Research (FoR) 2020: | 4602 Artificial intelligence |
Peer Reviewed: | Yes |
HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
Appears in Collections: | Journal Article School of Science and Technology
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