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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.04452 |
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| _version_ | 1866917686881026048 |
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| author | Ragavan, Sruti Srinivasa Alipour, Mohammad Amin |
| author_facet | Ragavan, Sruti Srinivasa Alipour, Mohammad Amin |
| contents | Information Foraging Theory's (IFT) framing of human information seeking choices as decision-theoretic cost-value judgments has successfully explained how people seek information among linked patches of information (e.g., linked webpages). However, the theory has to be adopted and validated in non-patchy LLM-based chatbot environments, before its postulates can be reliably applied to the design of such chat-based information seeking environments. This paper is a thought experiment that applies the IFT cost-value proposition to LLM-based chatbots and presents a set of preliminary hypotheses to guide future theory-building efforts for how people seek information in such environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_04452 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Revisiting Human Information Foraging: Adaptations for LLM-based Chatbots Ragavan, Sruti Srinivasa Alipour, Mohammad Amin Human-Computer Interaction Information Foraging Theory's (IFT) framing of human information seeking choices as decision-theoretic cost-value judgments has successfully explained how people seek information among linked patches of information (e.g., linked webpages). However, the theory has to be adopted and validated in non-patchy LLM-based chatbot environments, before its postulates can be reliably applied to the design of such chat-based information seeking environments. This paper is a thought experiment that applies the IFT cost-value proposition to LLM-based chatbots and presents a set of preliminary hypotheses to guide future theory-building efforts for how people seek information in such environments. |
| title | Revisiting Human Information Foraging: Adaptations for LLM-based Chatbots |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2406.04452 |