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The Effects of Source Presentation Styles in AI Chatbots on User Experience

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(1), pp.269~278
  • DOI : 10.21186/IPR.2026.11.1.269
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : December 1, 2025
  • Accepted : January 14, 2026
  • Published : January 31, 2026

Yoonsoh Lee 1 Seung In Kim 1

1홍익대학교

Accredited

ABSTRACT

This study aims to examine how source presentation formats in AI chatbots influence user experience. Four types—“no source,” “minimal link,” “card/list,” and “panel”—were identified through analysis of major chatbot services, and a mixed-method design combining repeated-measures experiments and in-depth interviews was conducted. The results are as follows. First, source formats showed significant differences across all indicators, including satisfaction, perceived credibility, perceived usefulness, ease of use, and intention to use information. Second, the panel format received the highest evaluations, while the no-source format consistently scored the lowest. Third, interview participants regarded explicit source visibility and readability as key criteria for trust and expressed a clear preference for the panel format. In contrast, the minimal link format was valued for sentence-level mapping but criticized for repeated clicking, and the card/list format was noted for reducing readability and focus. In sum, source provision is not a peripheral feature but a critical interface factor shaping user trust and information utilization. These findings suggest that the structural design and placement of source presentation should be prioritized in future chatbot development.

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