Keeping up with generative AI: effects of engagement characteristics, cognitive appraisals, and affective reactions on user adaptation

<p dir="ltr">Generative artificial intelligence (GenAI) is expected to substantially change users’ established routines of accomplishing tasks, such as information search and content creation. Despite such promising potential, many users are still not incorporating GenAI into their routine internet use. This study draws on the adaptation to information technology (AIT) model to examine how users adapt to GenAI and the influencing factors, including cognitive appraisals, affective reactions, and engagement characteristics. An online survey was conducted with GenAI users recruited on Prolific. The results showed that cognitive appraisals (perceived opportunity, threat, and control) and affective reactions (enjoyment, trust, and anxiety) influence users’ various adaptations to varying degrees. Furthermore, engagement characteristics, including the frequency and breadth of using GenAI tools and user involvement, are significant predictors of cognitive appraisals. The study contributes to the nascent literature on GenAI tools by uncovering the impact of cognitive appraisals and affective reactions on users’ adaptation to GenAI tools, meanwhile revealing the influence of engagement characteristics on users’ appraisals. The findings provide a basis for encouraging certain adaptation behaviours and help understand factors that hinder users’ active adaptation to GenAI.

Authors

Institutions

Publication Details

Journal
Behaviour and Information Technology
Published
2025-03-27
DOI
https://doi.org/10.1080/0144929x.2025.2483788
Citations
3
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
12.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Keeping up with generative AI: effects of engagement characteristics, cognitive appraisals, and affective reactions on user adaptation

Jisu Kim, Xinyu Lu
3 citations
Behaviour and Information Technology
Technology Adoption and User Behaviour
12.51
article

Keeping up with generative AI: effects of engagement characteristics, cognitive appraisals, and affective reactions on user adaptation

Jisu Kim, Xinyu Lu
article en
3 citations

Abstract

<p dir="ltr">Generative artificial intelligence (GenAI) is expected to substantially change users’ established routines of accomplishing tasks, such as information search and content creation. Despite such promising potential, many users are still not incorporating GenAI into their routine internet use. This study draws on the adaptation to information technology (AIT) model to examine how users adapt to GenAI and the influencing factors, including cognitive appraisals, affective reactions, and engagement characteristics. An online survey was conducted with GenAI users recruited on Prolific. The results showed that cognitive appraisals (perceived opportunity, threat, and control) and affective reactions (enjoyment, trust, and anxiety) influence users’ various adaptations to varying degrees. Furthermore, engagement characteristics, including the frequency and breadth of using GenAI tools and user involvement, are significant predictors of cognitive appraisals. The study contributes to the nascent literature on GenAI tools by uncovering the impact of cognitive appraisals and affective reactions on users’ adaptation to GenAI tools, meanwhile revealing the influence of engagement characteristics on users’ appraisals. The findings provide a basis for encouraging certain adaptation behaviours and help understand factors that hinder users’ active adaptation to GenAI.

Behaviour and Information TechnologyVol. 44(18)
Shanghai International Studies University (CN), Singapore Institute of Technology (SG)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Technology Adoption and User Behaviour
12.51
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.