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Autori principali: Costa-Gomes, Beatriz, Chen, Sophia, Hsueh, Connie, Morgan, Deborah, Schoenegger, Philipp, Shah, Yash, Way, Sam, Zhu, Yuki, Adeline, Timothé, Bhaskar, Michael, Suleyman, Mustafa, Spielman, Seth
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2512.11879
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author Costa-Gomes, Beatriz
Chen, Sophia
Hsueh, Connie
Morgan, Deborah
Schoenegger, Philipp
Shah, Yash
Way, Sam
Zhu, Yuki
Adeline, Timothé
Bhaskar, Michael
Suleyman, Mustafa
Spielman, Seth
author_facet Costa-Gomes, Beatriz
Chen, Sophia
Hsueh, Connie
Morgan, Deborah
Schoenegger, Philipp
Shah, Yash
Way, Sam
Zhu, Yuki
Adeline, Timothé
Bhaskar, Michael
Suleyman, Mustafa
Spielman, Seth
contents We analyze 37.5 million deidentified conversations with Microsoft's Copilot between January and September 2025. Unlike prior analyses of AI usage, we focus not just on what people do with AI, but on how and when they do it. We find that how people use AI depends fundamentally on context and device type. On mobile, health is the dominant topic, which is consistent across every hour and every month we observed - with users seeking not just information but also advice. On desktop, the pattern is strikingly different: work and technology dominate during business hours, with "Work and Career" overtaking "Technology" as the top topic precisely between 8 a.m. and 5 p.m. These differences extend to temporal rhythms: programming queries spike on weekdays while gaming rises on weekends, philosophical questions climb during late-night hours, and relationship conversations surge on Valentine's Day. These patterns suggest that users have rapidly integrated AI into the full texture of their lives, as a work aid at their desks and a companion on their phones.
format Preprint
id arxiv_https___arxiv_org_abs_2512_11879
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle It's About Time: The Temporal and Modal Dynamics of Copilot Usage
Costa-Gomes, Beatriz
Chen, Sophia
Hsueh, Connie
Morgan, Deborah
Schoenegger, Philipp
Shah, Yash
Way, Sam
Zhu, Yuki
Adeline, Timothé
Bhaskar, Michael
Suleyman, Mustafa
Spielman, Seth
Computers and Society
Artificial Intelligence
We analyze 37.5 million deidentified conversations with Microsoft's Copilot between January and September 2025. Unlike prior analyses of AI usage, we focus not just on what people do with AI, but on how and when they do it. We find that how people use AI depends fundamentally on context and device type. On mobile, health is the dominant topic, which is consistent across every hour and every month we observed - with users seeking not just information but also advice. On desktop, the pattern is strikingly different: work and technology dominate during business hours, with "Work and Career" overtaking "Technology" as the top topic precisely between 8 a.m. and 5 p.m. These differences extend to temporal rhythms: programming queries spike on weekdays while gaming rises on weekends, philosophical questions climb during late-night hours, and relationship conversations surge on Valentine's Day. These patterns suggest that users have rapidly integrated AI into the full texture of their lives, as a work aid at their desks and a companion on their phones.
title It's About Time: The Temporal and Modal Dynamics of Copilot Usage
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2512.11879