Beyond Tools: Understanding How Heavy Users Integrate LLMs into Everyday Tasks and Decision-Making
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916693469560832 |
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| author | Kim, Eunhye Choe, Kiroong Yoo, Minju Chowdhury, Sadat Shams Seo, Jinwook |
| author_facet | Kim, Eunhye Choe, Kiroong Yoo, Minju Chowdhury, Sadat Shams Seo, Jinwook |
| contents | Large language models (LLMs) are increasingly used for both everyday and specialized tasks. While HCI research focuses on domain-specific applications, little is known about how heavy users integrate LLMs into everyday decision-making. Through qualitative interviews with heavy LLM users (n=7) who employ these systems for both intuitive and analytical thinking tasks, our findings show that participants use LLMs for social validation, self-regulation, and interpersonal guidance, seeking to build self-confidence and optimize cognitive resources. These users viewed LLMs either as rational, consistent entities or average human decision-makers. Our findings suggest that heavy LLM users develop nuanced interaction patterns beyond simple delegation, highlighting the need to reconsider how we study LLM integration in decision-making processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_15395 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Beyond Tools: Understanding How Heavy Users Integrate LLMs into Everyday Tasks and Decision-Making Kim, Eunhye Choe, Kiroong Yoo, Minju Chowdhury, Sadat Shams Seo, Jinwook Human-Computer Interaction Large language models (LLMs) are increasingly used for both everyday and specialized tasks. While HCI research focuses on domain-specific applications, little is known about how heavy users integrate LLMs into everyday decision-making. Through qualitative interviews with heavy LLM users (n=7) who employ these systems for both intuitive and analytical thinking tasks, our findings show that participants use LLMs for social validation, self-regulation, and interpersonal guidance, seeking to build self-confidence and optimize cognitive resources. These users viewed LLMs either as rational, consistent entities or average human decision-makers. Our findings suggest that heavy LLM users develop nuanced interaction patterns beyond simple delegation, highlighting the need to reconsider how we study LLM integration in decision-making processes. |
| title | Beyond Tools: Understanding How Heavy Users Integrate LLMs into Everyday Tasks and Decision-Making |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2502.15395 |