Humanizing chatbots: The effects of visual, identity and conversational cues on humanness perceptions

Chatbots are replacing human agents in a number of domains, from online tutoring to customer-service to even cognitive therapy. But, they are often machine-like in their interactions. What can we do to humanize chatbots? Should they necessarily be driven by human operators for them to be considered...

Full description

Saved in:
Bibliographic Details
Published inComputers in human behavior Vol. 97; pp. 304 - 316
Main Authors Go, Eun, Sundar, S. Shyam
Format Journal Article
LanguageEnglish
Published Elmsford Elsevier Ltd 01.08.2019
Elsevier Science Ltd
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Chatbots are replacing human agents in a number of domains, from online tutoring to customer-service to even cognitive therapy. But, they are often machine-like in their interactions. What can we do to humanize chatbots? Should they necessarily be driven by human operators for them to be considered human? Or, will an anthropomorphic visual cue on the interface and/or a high-level of contingent message exchanges provide humanness to automated chatbots? We explored these questions with a 2 (anthropomorphic visual cues: high vs. low anthropomorphism) × 2 (message interactivity: high vs. low message interactivity) × 2 (identity cue: chat-bot vs. human) between-subjects experiment (N = 141) in which participants interacted with a chat agent on an e-commerce site about choosing a digital camera to purchase. Our findings show that a high level of message interactivity compensates for the impersonal nature of a chatbot that is low on anthropomorphic visual cues. Moreover, identifying the agent as human raises user expectations for interactivity. Theoretical as well as practical implications of these findings are discussed. •A compensation effect of high anthropomorphic visual cues on low message interactivity.•Another compensation effect of high message interactivity on low anthropomorphic visual cues.•An expectancy violation effects when the identity cue is combined with message interactivity.•Revealing the identity of the machine can capitalize on expectations.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0747-5632
1873-7692
DOI:10.1016/j.chb.2019.01.020