From Interaction to Collaboration: How Hybrid Intelligence Enhances Chatbot Feedback
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866910914253422592 |
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| author | Rafner, Janet Guloy, Ryan Q. Wen, Eden W. Chiodo, Catherine M. Sherson, Jacob |
| author_facet | Rafner, Janet Guloy, Ryan Q. Wen, Eden W. Chiodo, Catherine M. Sherson, Jacob |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2504_13848 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Interaction to Collaboration: How Hybrid Intelligence Enhances Chatbot Feedback Rafner, Janet Guloy, Ryan Q. Wen, Eden W. Chiodo, Catherine M. Sherson, Jacob Human-Computer Interaction Artificial Intelligence Computers and Society Emerging Technologies 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. |
| title | From Interaction to Collaboration: How Hybrid Intelligence Enhances Chatbot Feedback |
| topic | Human-Computer Interaction Artificial Intelligence Computers and Society Emerging Technologies |
| url | https://arxiv.org/abs/2504.13848 |