Can I Collaborate with You? An Investigation of Trust in Generative AI

Zih Yan Ding*, Ming Hsin Chiu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigates the role of trust in human-AI collaboration in K-12 education, focusing on generative AI. Using a two-factor experimental design (n = 26), we examined attitudes toward AI and creativity level as independent variables and assessed cognitive trust, affective trust, perceptions of usability, and continuance intention to use generative AI tools in text-to-text (ChatGPT) and text-to-image (Canva) tasks. The results is analyzed with two-way ANOVA, we find that: (1) text-to-text human-AI collaboration tends to foster higher emotional engagement and trust compared to text-to-image human-AI collaboration; (2) perceptions of usability and continuance intention to use are slightly higher in text-to-text interactions, suggesting a preference for text-based generative AI tools; (3) significant interactive effects between attitudes toward AI and creativity were observed across all measured variables, highlighting the importance of considering both factors in understanding and improving human-AI collaboration in educational settings, contributing to research on generative AI for learning assistance.

Original languageEnglish
Pages (from-to)889-891
Number of pages3
JournalProceedings of the Association for Information Science and Technology
Volume61
Issue number1
DOIs
Publication statusPublished - 2024 Oct

Keywords

  • co-creation
  • experimental design
  • generative AI
  • human-AI collaboration
  • trust

ASJC Scopus subject areas

  • General Computer Science
  • Library and Information Sciences

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