Exploring User Trust in AI-Powered Chatbots: A Study on Transparency and Usability

This study explores the effect of transparency on human user trust and usability of AI chatbots, one of the core mechanisms that constitute human-AI interaction. Previous work has studied the way transparency can enhance building trust, but the relationship between transparency and usability has not been well studied. Therefore to fill this gap researchers compared user experiences with chatbots in its transparent and non-transparent versions. The findings reveal that while transparency, including clear privacy policies, can enhance user understanding and trust, it can also negatively impact usability. The contribution of this study lies in the balance between information provision and user experience to form AI chatbot that are not only informative but are also user friendly.

Authors

Institutions

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1109/ecce64574.2025.11013382
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

Exploring User Trust in AI-Powered Chatbots: A Study on Transparency and Usability

Md. Rezaul Karim, Md. Ferdouse Ahmed Foysal, Md. Nahin Un Nabi, Shoaib Rufsun
AI in Service Interactions
article

Exploring User Trust in AI-Powered Chatbots: A Study on Transparency and Usability

Md. Rezaul Karim, Md. Ferdouse Ahmed Foysal, Md. Nahin Un Nabi, Shoaib Rufsun
article en

Abstract

This study explores the effect of transparency on human user trust and usability of AI chatbots, one of the core mechanisms that constitute human-AI interaction. Previous work has studied the way transparency can enhance building trust, but the relationship between transparency and usability has not been well studied. Therefore to fill this gap researchers compared user experiences with chatbots in its transparent and non-transparent versions. The findings reveal that while transparency, including clear privacy policies, can enhance user understanding and trust, it can also negatively impact usability. The contribution of this study lies in the balance between information provision and user experience to form AI chatbot that are not only informative but are also user friendly.

Dhaka University of Engineering & Technology (BD)
Openalex Percentile: Top 94%
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.