Evaluating Anthropomorphic Product Recommendation Agents: A Social Relationship Perspective to Designing Information Systems

By Lingyun Qiu, Izak Benbasat. Journal of Management Information Systems, 2009

685 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/dae68fe1d3c27a8b112e5fee54f0e436ca126825

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Citations in the corpus

Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “Similarly, Qiu and Benbasat (2009) demonstrated that virtual embodiment of a recommendation agent significantly improved users ’ enjoyment and trust, increasing perceptions of social presence.”
Taking "Fun and Games" Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM) (2012, background): “…enjoyment), a type of intrinsic motivation, was added to the technology acceptance model (TAM) (Venkatesh, 2000), and intrinsic motivation has continued to receive attention in IS acceptance research (e.g., Qiu & Benbasat, 2009; Saadé, Nebebe & Mak, 2009; van der Heijden, 2004; Venkatesh, 2000).”
Technology, Humanness, and Trust: Rethinking Trust in Technology (2015, background): “…2009), live chat and online reviews (Cyr, Hassanein, Head, & Ivanov, 2007), interactivity and voice (Wang, Baker, Wagner, & Wakefield, 2007), humanoid embodiment and human voice-based communication (Qiu & Benbasat, 2009), and consumer reviews and product recommendations (Kumar & Benbasat, 2006).”
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents (2020, background): “A lab experiment with recommendation agents showed that using humanoid embodiment and human voice-based communication increases users ’ perceptions of social presence, which increases perceptions of enjoyment (Qiu and Benbasat, 2009).”
Towards Designing Cooperative and Social Conversational Agents for Customer Service (2017, methodology): “Subsequently, they will fill out a questionnaire to provide their perceptions of service quality (Doucet 2004; Parasuraman et al. 1988) as well as of the prototype itself, such as social presence (Qiu and Benbasat 2009).”
Virtual Customer Service Agents: Using Social Presence and Personalization to Shape Online Service Encounters (2014, background): “…successful service encounters: feelings of social presence and a sense of personalization ∗Accepted by previous editor Maria Bakardjieva Journal of Computer-Mediated Communication 19 (2014) 529–545 © 2014 International Communication Association 529 (Bitner, Booms, & Tetreault, 1990; Suprenant &…”
AI-based chatbots in customer service and their effects on user compliance (2020, background): “This study thus extends prior research that has been focused primarily on embodied CAs (Hess et al. 2009; Qiu and Benbasat 2009) by showing that the CASA paradigm extends to disembodied CAs that predominantly use verbal cues in their interactions with users.”
User experience in social commerce: in friends we trust (2013, background): “Examples of s-commerce include customer ratings and reviews, user recommendations and referrals, social shopping tools (shared shopping online), forums and communities, social media optimisation, social applications and social advertising (Qiu and Benbasat 2009).”