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Paper Number
ICIS2025-1063
Paper Type
Short
Abstract
OpenAI´s latest updates reflect a growing trend in GenAI design: enhanced customization, including adjustable conversation styles. While literature distinguishes between social- and task-oriented conversation style, their effect on affective outcomes in collaborative settings remains underexplored. Drawing on Social Response Theory, we conducted an experiment (N=372) to examine how GenAI conversation style influences process satisfaction in brainstorming. Our results show that a task-oriented GenAI leads to higher process satisfaction and, in creative tasks, is perceived as more competent. We identify perceived competence as a mediator and task context as a moderator. Surprisingly, self-reported GenAI experience did not moderate this relationship, but usage-based measures (e.g., ChatGPT usage) suggest a potential effect. Our study contributes to IS literature by advancing research on human-AI collaboration as well as the ongoing debate on GenAI design.
Recommended Citation
Brils, Celina; Saesen, Julie; and Strese, Steffen, "The Role of GenAI Conversation Style in Satisfaction and Competence Perceptions" (2025). ICIS 2025 Proceedings. 1.
https://aisel.aisnet.org/icis2025/gen_ai/gen_ai/1
The Role of GenAI Conversation Style in Satisfaction and Competence Perceptions
OpenAI´s latest updates reflect a growing trend in GenAI design: enhanced customization, including adjustable conversation styles. While literature distinguishes between social- and task-oriented conversation style, their effect on affective outcomes in collaborative settings remains underexplored. Drawing on Social Response Theory, we conducted an experiment (N=372) to examine how GenAI conversation style influences process satisfaction in brainstorming. Our results show that a task-oriented GenAI leads to higher process satisfaction and, in creative tasks, is perceived as more competent. We identify perceived competence as a mediator and task context as a moderator. Surprisingly, self-reported GenAI experience did not moderate this relationship, but usage-based measures (e.g., ChatGPT usage) suggest a potential effect. Our study contributes to IS literature by advancing research on human-AI collaboration as well as the ongoing debate on GenAI design.
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12-GenAI