Users entangle their lived experiences with AI predictions in menstrual tracking apps, leading to self-fulfilling prophecies, limited critical awareness from UI, and isolation for non-normative users.
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Crepe introduces a graph-query technique in a no-code Android app for flexible collection of targeted mobile screen data with privacy and consent controls.
Young adults engage with low-quality news content on social media despite stating preferences for high-quality, accurate, and diverse information, and they produce higher-quality feeds when curating for a hypothetical persona.
Scientometric review of 15 years of Augmented Human conference papers shows bimodal submission peaks in 2015 and 2025, dominant topics in haptics and wearables, and an active Japanese community alongside definitional scope issues.
Participatory design study reveals that on-demand and process-oriented feedback are seen as effective in data storytelling learning, while automatic and outcome feedback are more persuasive.
Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.
Users' memory of privacy settings drifts over time from exact recall to gist-based impressions that bias toward sharing with larger audiences than originally intended.
Interviews reveal a four-stage vibe coding workflow that accelerates prototyping while introducing tensions between quick efficiency and reflective design intention, plus asymmetries in trust and ownership.
citing papers explorer
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"It became a self-fulfilling prophecy": How Lived Experiences are Entangled with AI Predictions in Menstrual Cycle Tracking Apps
Users entangle their lived experiences with AI predictions in menstrual tracking apps, leading to self-fulfilling prophecies, limited critical awareness from UI, and isolation for non-normative users.
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Crepe: A Mobile Screen Data Collector Using Graph Query
Crepe introduces a graph-query technique in a no-code Android app for flexible collection of targeted mobile screen data with privacy and consent controls.
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Understanding the Gap Between Stated and Revealed Preferences in News Curation: A Study of Young Adult Social Media Users
Young adults engage with low-quality news content on social media despite stating preferences for high-quality, accurate, and diverse information, and they produce higher-quality feeds when curating for a hypothetical persona.
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15 Years of Augmented Human(s) Research: Where Do We Stand?
Scientometric review of 15 years of Augmented Human conference papers shows bimodal submission peaks in 2015 and 2025, dominant topics in haptics and wearables, and an active Japanese community alongside definitional scope issues.
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Exploring Student Feedback Needs and Design Opportunities in Data Storytelling Education
Participatory design study reveals that on-demand and process-oriented feedback are seen as effective in data storytelling learning, while automatic and outcome feedback are more persuasive.
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"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace
Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.
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Temporal Drift in Privacy Recall: Users Misremember From Verbatim Loss to Gist-Based Overexposure
Users' memory of privacy settings drifts over time from exact recall to gist-based impressions that bias toward sharing with larger audiences than originally intended.
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Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration
Interviews reveal a four-stage vibe coding workflow that accelerates prototyping while introducing tensions between quick efficiency and reflective design intention, plus asymmetries in trust and ownership.