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When Do We Talk to AI? A User-Centric Analysis of ChatGPT Interaction Patterns

  • 2026
  • OriginalPaper
  • Chapter
Published in:
Authors
Avshalom Elmalech
Ronyt Gomez
Israel Klein
Published in
Intelligence and Equity: Shaping the Future of Knowledge
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the interaction patterns of ChatGPT users, revealing how generative AI is woven into daily routines. It examines the frequency and timing of interactions, highlighting differences across age groups and genders. The study finds that while most interactions are brief, some users engage in extensive communication, suggesting a variety of use cases. It also explores how usage patterns vary throughout the week and day, with younger users more active on weekends and women showing consistent daytime engagement. The findings underscore the need for AI systems that adapt to users' temporal rhythms and diverse needs, emphasizing the importance of designing intuitive and flexible AI tools. This research provides valuable insights for building more responsive, inclusive, and ethically-aware AI systems.
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previous chapter Automated Book Genre Categorization Using Lightweight Machine Learning: Moving Toward Practical Solutions for Libraries
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Title
When Do We Talk to AI? A User-Centric Analysis of ChatGPT Interaction Patterns
Authors
Avshalom Elmalech
Ronyt Gomez
Israel Klein
Copyright Year
2026
Publisher
Springer Nature Singapore
Book
Intelligence and Equity: Shaping the Future of Knowledge

Print ISBN: 978-981-9548-60-6

Electronic ISBN: 978-981-9548-61-3

Copyright Year: 2026

DOI
https://doi.org/10.1007/978-981-95-4861-3_13
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