A co-creation process for inferring and refining personal strivings from computer activity logs yields more representative goals and higher user agency than baselines in a 14-person week-long study.
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4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
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2026 4verdicts
UNVERDICTED 4roles
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background 1representative citing papers
The first systematic review of routine computing synthesizes literature into a taxonomy of temporal, behavioral, cognitive, and variability aspects, outlining applications in health, accessibility, and adaptive support along with persistent challenges.
The paper introduces a channels-and-substrates framework grounded in distributed cognition to model interaction for ubiquitous and cross-device analytics.
Presents PEC-Home dataset for elliptical smart-home commands and shows LLMs achieve lower execution accuracy on elliptical inputs than complete commands even with dialogue history access.
citing papers explorer
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"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use
A co-creation process for inferring and refining personal strivings from computer activity logs yields more representative goals and higher user agency than baselines in a 14-person week-long study.
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Routine Computing: A Systematic Review of Sensing Daily Life Dimensions Towards Human-Centered Goals
The first systematic review of routine computing synthesizes literature into a taxonomy of temporal, behavioral, cognitive, and variability aspects, outlining applications in health, accessibility, and adaptive support along with persistent challenges.
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Channels and Substrates: Distributed Cognition as an Interaction Model for Ubiquitous Analytics
The paper introduces a channels-and-substrates framework grounded in distributed cognition to model interaction for ubiquitous and cross-device analytics.
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PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes
Presents PEC-Home dataset for elliptical smart-home commands and shows LLMs achieve lower execution accuracy on elliptical inputs than complete commands even with dialogue history access.