Impact of anthropomorphism in AI assistants' verbal feedback on task performance and emotional experience.
Artificial intelligence (AI) assistants are increasingly deployed across various fields to replace human operators in providing feedback to users, making anthropomorphism a pivotal topic in AI-assisted interactions. We investigated the impact of varying degrees of anthropomorphism in verbal feedback...
| Published in: | Ergonomics Vol. 69; no. 6; pp. 980 - 994 |
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| Main Authors: | , , , , , |
| Format: | algorithm research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Jun2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193835287&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193835287 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Jun2026 vid: 69 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 193835287 184814314 193835287 193835287 10.1080/00140139.2025.2497072 193835287 ppf: 980 ppct: 14 formats: tig: atl: Impact of anthropomorphism in AI assistants' verbal feedback on task performance and emotional experience. aug: au: Yang, Shuhan Huang, Yanqun Huang, Xueqin Zhang, Jian Meng, Ziping Yang, Junyu affil: Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China sug: subj: Artificial Intelligence Feedback Emotions Evaluation Task Performance and Analysis Evaluation Individuality Self-Efficacy Evaluation Human Robotics Convenience Sample Questionnaires Male Female Data Analysis Software Adult Experimental Studies Cues Speech Perception Voice Cluster Analysis Models, Anatomic McNemar's Test Wilcoxon Rank Sum Test One-Way Analysis of Variance Repeated Measures Validity Evaluation Reaction Time Evaluation Pleasure Evaluation Speech Sample Funding Source Adult: 19-44 years Male Female ab: Artificial intelligence (AI) assistants are increasingly deployed across various fields to replace human operators in providing feedback to users, making anthropomorphism a pivotal topic in AI-assisted interactions. We investigated the impact of varying degrees of anthropomorphism in verbal feedback on task performance and user experience. A total of 30 participants were recruited, and their task performance and subjective experiences in response to different levels of feedback were measured. Moderate-level anthropomorphic verbal feedback elicited significantly lower self-efficacy and pleasure compared to high- and low- level feedback. Notably, under high-level feedback, participants demonstrated a significant increase in response speed compared to lower levels. These findings suggested that high-level feedback of AI assistants could enhance participants' performance and experience, thereby improving training or learning efficacy. However, moderate-level anthropomorphic feedback appeared to be less effective. The study outcomes could offer insights for future research and design of AI voice systems. Practitioner Summary: This study deepens the understanding of anthropomorphism in AI voice feedback. Thirty participants underwent laboratory experiments to assess their task performance and emotional reactions to different feedback levels. The findings revealed that high-level feedback significantly enhanced response speed, whereas moderate-level feedback reduced self-efficacy and pleasure. pubtype: Academic Journal doctype: algorithm research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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