The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Online Consumer Trust and Live Help Interfaces: The Effects of Text-to-Speech Voice and Three-Dimensional Avatars
Abstract
With the increasing prevalence of online shopping, many companies have begun to provide "live help" functions, through instant messaging or text chatting, on their Web sites to facilitate interactions between online consumers and customer service representatives (CSRs). The continuing reliance of these functions on text-based communication limits nonverbal communication with consumers and the social contexts for the information conveyed. However, with the help of emerging multimedia technologies, companies can now use computer-generated voice and humanoid avatars to embody CSRs, thus enriching the interactive experiences of their customers. In this study, a laboratory experiment was conducted to empirically test the effects of text-to-speech (TTS) voice and 3-dimensional (3D) avatars on consumer trust toward CSRs. TTS voice was implemented to deliver answers aloud. A 3D avatar served as the humanoid representation of a CSR. The results demonstrated that the presence of TTS voice significantly increases consumers' cognitive and emotional trust toward the CSR. These findings offer practitioners guidelines to improve the interface design of real-time human-to-human communications for e-commerce Web sites.
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Cites
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550
Relationship Quality in Services Selling: An Interpersonal Influence Perspective
Crosby, L. A., Evans, K. R., & Cowles, D. (1990) · Journal of Marketing · doi:10.1177/002224299005400306 · Cited by 4,763
Building consumer trust online
Hoffman, D. L., Novak, T. P., & Peralta, M. (1999) · Communications of the ACM · doi:10.1145/299157.299175 · Cited by 2,132
Individual Trust in Online Firms: Scale Development and Initial Test
(2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045715 · Cited by 1,347 · cited 2×
“As discussed by Bhattacherjee (2002) and McKnight et al. (2002), there are three trust-related attributes of a CSR who is the object of trust: (a) the competence of the trustee, designating the ability of the trustee to do what the trustor needs, (b) the trustee’s benevolence, denoting the…”
BackgroundAdjusting for multiple testing when reporting research results: the Bonferroni vs Holm methods.
Aickin, M., & Gensler, H. (1996) · American Journal of Public Health · doi:10.2105/ajph.86.5.726 · Cited by 1,346
Nass, C., & Lee, K. M. (2001) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.7.3.171 · Cited by 522
Direct manipulation vs. interface agents
Shneiderman, B., & Maes, P. (1997) · Interactions · doi:10.1145/267505.267514 · Cited by 518 · cited 1×
“Some researchershavearguedthathuman-likesystemsmayinduceuserstoformfalse mentalmodelsofthesystemandtypicallytoohighexpectationsaboutthesystem’s behaviorincognitiveandemotionalaspects(Shneiderman&Maes,1997;Norman, 1994).”
Effects of four computer-mediated communications channels on trust development
Bos, N., Olson, J., Gergle, D., Olson, G., & Wright, Z. (2002) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/503376.503401 · Cited by 489
Crosby, L. A., & Stephens, N. (1987) · Journal of Marketing Research · doi:10.2307/3151388 · Cited by 456
Cited by
The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents1
Komiak, S. Y. X., & Benbasat, I. (2006) · MIS Quarterly · doi:10.2307/25148760 · Cited by 1,374
Self-citationA Systematic Review of Social Presence: Definition, Antecedents, and Implications
Oh, C. S., Bailenson, J. N., & Welch, G. F. (2018) · Frontiers in Robotics and AI · doi:10.3389/frobt.2018.00114 · Cited by 1,032
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture
Vance, A., Elie-Dit-Cosaque, C., & Straub, D. W. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240403 · Cited by 599
Sullivan, Y. W., & Kim, D. J. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.008 · Cited by 443
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021) · Electronic Markets · doi:10.1007/s12525-020-00411-w · Cited by 406
Metadata
- Authors
- Qiu, L., & Benbasat, I.
- Venue
- International Journal of Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2005-09
- Volume
- 19
- Issue
- 1
- Pages
- 75-94
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W2023298992
- Cited by
- 231
- References
- 11
- FWCI
- 5.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Qiu, L., & Benbasat, I. (2005). Online Consumer Trust and Live Help Interfaces: The Effects of Text-to-Speech Voice and Three-Dimensional Avatars. International Journal of Human-Computer Interaction. https://doi.org/10.1207/s15327590ijhc1901_6
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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