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From Interaction to Collaboration: How Hybrid Intelligence Enhances Chatbot Feedback

arXiv 2504.13848 ↗First posted 8 Mar 2025cs.HC cs.AI cs.CYcited by 0

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Abstract (arXiv)

Generative AI (GenAI) chatbots are becoming increasingly integrated into virtual assistant technologies, yet their success hinges on the ability to gather meaningful user feedback to improve interaction quality, system outcomes, and overall user acceptance. Successful chatbot interactions can enable organizations to build long-term relationships with their customers and users, supporting customer loyalty and furthering the organization's goals. This study explores the impact of two distinct narratives and feedback collection mechanisms on user engagement and feedback behavior: a standard AI-focused interaction versus a hybrid intelligence (HI) framed interaction. Initial findings indicate that while small-scale survey measures allowed for no significant differences in user willingness to leave feedback, use the system, or trust the system, participants exposed to the HI narrative statistically significantly provided more detailed feedback. These initial findings offer insights into designing effective feedback systems for GenAI virtual assistants, balancing user effort with system improvement potential.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 21 references that are in the map. First posted on arXiv 8 Mar 2025.

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References · 2

  1. 2021Hybrid Intelligencecited by 55
  2. 2020Conceptualization and Framework of Hybrid Intelligence Systemscited by 3

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