Citation

Liew, Tze Wei and Tan, Su-Mae and Tee, Jessica and Goh, Gerald Guan Gan (2021) The effects of designing conversational commerce chatbots with expertise cues. In: 2021 14th International Conference on Human System Interaction (HSI). IEEE, pp. 1-6. ISBN 978-1-6654-4112-4

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Abstract

Drawing upon the computers-are-social-actors (CASA) paradigm, this study examined the effects of designing conversational commerce chatbots with expertise cues. Accordingly, these cues were operationalized through designation of chatbots as product-specific advisers, dialogues containing expertise-cued labels and social descriptors (e.g., "I am your personal expert adviser for sportswear!"), gender of chatbots, and appearance styles of chatbots. A within-subject laboratory experiment was conducted in which university undergraduates (n=71) viewed two videos displaying mock user-chatbot interactions — one featured the experimental condition (chatbots with expertise cues) while the other featured the control condition (chatbot without expertise cues). Compared against the control, the experimental condition elevated perceived source expertise of chatbots, platform trust ability and trust integrity, and purchase intention through the conversational commerce platform. The expertise cues effects on purchase intention was mediated by platform trust ability. Theoretical and practical implications are discussed through the lens of CASA and source credibility model in this paper.

Item Type:	Book Section
Uncontrolled Keywords:	Telematics, Computers are social actors, specialty cue, expertise cue, source credibility, conversational commerce, chatbots
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Business (FOB) Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Nov 2021 04:53
Last Modified:	04 Nov 2021 04:53
URII:	http://shdl.mmu.edu.my/id/eprint/9752

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