Exploring the Influence of User Interface on User Trust in Generative AI

Morteza Ahmadianmanzary, Sofia Ouhbi

2025

Abstract

As generative AI tools become increasingly integrated into everyday applications, understanding the impact of user interface (UI) design elements on user trust is essential for ensuring effective human-AI interactions. This paper examines how variations in UI design, particularly avatars and text fonts, influence user trust in generative AI tools. We conducted an experiment using the Wizard of Oz method to assess trust levels across three different UI variations of ChatGPT. Nine volunteer university students from diverse disciplines participated in the study. The results indicate that participants’ trust levels were influenced by the generative AI tool’s avatar design and text font. This paper highlights the significant impact of UI design on trust and emphasizes the need for a more critical approach to evaluating trust in generative AI tools.

Paper Citation

in Harvard Style

Ahmadianmanzary M. and Ouhbi S. (2025). Exploring the Influence of User Interface on User Trust in Generative AI. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-742-9, SciTePress, pages 708-714. DOI: 10.5220/0013432700003928

in Bibtex Style

@conference{enase25,
author={Morteza Ahmadianmanzary and Sofia Ouhbi},
title={Exploring the Influence of User Interface on User Trust in Generative AI},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={708-714},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013432700003928},
isbn={978-989-758-742-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - Exploring the Influence of User Interface on User Trust in Generative AI
SN - 978-989-758-742-9
AU - Ahmadianmanzary M.
AU - Ouhbi S.
PY - 2025
SP - 708
EP - 714
DO - 10.5220/0013432700003928
PB - SciTePress