Just Like a Human? An Experimental Study on University Students’ Perceptions of Warmth and Benevolence Towards Chatbots

Abstract: Human–computer interaction has advanced significantly with the emergence of OpenAI’s ChatGPT. However, it’s unclear whether users perceive these chatbots to have positive human qualities. Using a 2 × 2 experimental design, university students evaluated the perceived warmth and benevolence of a chatbot, whereby we altered the description of the chatbot across experimental groups. Specifically, we altered its description according to Asch’s (1946) concept of warmth, where we varied it to have traits suggesting high or low kindness, and we also varied the language used in the chatbot description (technical vs. anthropomorphic). We hypothesized that describing the chatbot using anthropomorphic (humanlike language) vs. technical language would increase its perceived warmth and benevolence and that descriptions highlighting kindness would enhance the chatbot’s perceived warmth. Results revealed that kindness-related descriptions of the chatbot significantly affected its perceived warmth and benevolence, whereas differences in anthropomorphic or technical language did not. The role of personality traits in shaping AI perceptions is discussed.

Authors

Institutions

Publication Details

Journal
Journal of Media Psychology Theories Methods and Applications
Published
2025-11-19
DOI
https://doi.org/10.1027/1864-1105/a000499
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Just Like a Human? An Experimental Study on University Students’ Perceptions of Warmth and Benevolence Towards Chatbots

Regina Jucks, Eileen Plagge
Journal of Media Psychology Theories Methods and Applications
AI in Service Interactions
article

Just Like a Human? An Experimental Study on University Students’ Perceptions of Warmth and Benevolence Towards Chatbots

Regina Jucks, Eileen Plagge
article en

Abstract

Abstract: Human–computer interaction has advanced significantly with the emergence of OpenAI’s ChatGPT. However, it’s unclear whether users perceive these chatbots to have positive human qualities. Using a 2 × 2 experimental design, university students evaluated the perceived warmth and benevolence of a chatbot, whereby we altered the description of the chatbot across experimental groups. Specifically, we altered its description according to Asch’s (1946) concept of warmth, where we varied it to have traits suggesting high or low kindness, and we also varied the language used in the chatbot description (technical vs. anthropomorphic). We hypothesized that describing the chatbot using anthropomorphic (humanlike language) vs. technical language would increase its perceived warmth and benevolence and that descriptions highlighting kindness would enhance the chatbot’s perceived warmth. Results revealed that kindness-related descriptions of the chatbot significantly affected its perceived warmth and benevolence, whereas differences in anthropomorphic or technical language did not. The role of personality traits in shaping AI perceptions is discussed.

Journal of Media Psychology Theories Methods and Applications
University of Münster (DE)
Openalex Percentile: Top 81%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.