Home // ACHI 2026, The Nineteenth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Marvin Tessitore
Hakan Arda
Nicholas Mueller
Karsten Huffstadt
Keywords: Human–AI Interaction, User Trust, Voice Interface, Technology Acceptance Model, Conversational AI.
Abstract:
Rapid advances in artificial intelligence have accelerated the integration of conversational agents into everyday tasks. While voice-based interaction is becoming increasingly prevalent, its influence on user trust in AI systems remains insufficiently understood. Existing research has largely focused on text-based interfaces, leaving open whether auditory interaction can enhance—or diminish—perceived trustworthiness. This study empirically examines whether the communication modality of ChatGPT (text vs. auditory) affects users’ trust in the system. In a controlled experiment, participants with diverse backgrounds interacted with ChatGPT to complete story-based tasks requiring nuanced reasoning. Trust was measured through a validated quantitative questionnaire. The results reveal a nuanced pattern: while speech-based interaction was associated with higher generalized trust in technological systems, no significant differences emerged for situation-specific credibility assessments such as perceived truthfulness or doubts about system responses. Text-based interaction, in contrast, was more strongly linked to intentions to disseminate and academically reuse information. Both modalities were perceived as equally easy to use. These findings suggest that trust formation depends less on the interaction channel per se and more on underlying system qualities such as accuracy, coherence, and conversational competence. The study provides new insights for designers of AI-driven voice systems: resources should be prioritized toward improving response quality and transparent system behavior rather than assuming inherent trust benefits from auditory communication.
Pages: 1 to 9
Copyright: Copyright (c) IARIA, 2026
Publication date: May 24, 2026
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-68558-383-5
Location: Venice, Italy
Dates: from May 24, 2026 to May 28, 2026