
ACM TOCHI
@acmtochi
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ACM Transactions on Computer Human Interaction. As the flagship journal of CHI we publish important results and integrative analyses across all of HCI research.
Joined September 2009
Authors: Jiangnan Xu, Sanzida Mojib Luna, Garreth W. Tigwell, Nicolas Lalone, Michael Saker, Samuli Laato, John Dunham, Yihong Wang, Alan Chamberlain, Konstantinos Papangelis
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When the game is both digital and physical, how do players adapt?🎮✨ A new TOCHI study on Shared AR gameplay (Urban Legends) shows players start off confused, leaning on verbal cues, but soon evolve dynamic movement, role strategies, and smoother teamwork https://t.co/q8mBmWOq84
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We are delighted to announce that ACM TOCHI achieved an increase from 4.8 to 6.6 in its impact factor in the latest Journal Citation Reports! It is ranked in the first quartile in the categories of Cybernetics (4/31) and CS: Information Systems (25/258). https://t.co/YEkLPutF1Q
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Achieving Symmetry in Synchronous Interaction in Hybrid Work is Impossible by Pernille Bjørn, Nina Boulus-Rødje et al.
dl.acm.org
Designing new technologies to support synchronous interaction across distances has for many years focused on creating symmetry for participation between geographically distributed actors. Symmetry in...
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RadarHand: A Wrist-Worn Radar for On-Skin Touch-Based Proprioceptive Gestures by @ryohajika, Mark Billinghurst et al.
dl.acm.org
We introduce RadarHand, a wrist-worn wearable with millimetre wave radar that detects on-skin touch-based proprioceptive hand gestures. Radars are robust, private, small, penetrate materials, and...
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Between Rhetoric and Reality: Real-world Barriers to Uptake and Early Engagement in Digital Mental Health Interventions by Jacinta Jardine, Gavin Doherty et al.
dl.acm.org
Digital mental health interventions (DMHIs) have potential to provide effective and accessible care to entire populations, but low client uptake and engagement are significant problems. Few prior...
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Self-Determination Theory and HCI Games Research: Unfulfilled Promises and Unquestioned Paradigms by April Tyack and @elisamekler
dl.acm.org
Self-determination theory (SDT), a psychological theory of human motivation, is a prominent paradigm in human–computer interaction (HCI) research on games. However, our prior literature review...
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Editors' Pick for Notable Papers: The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as Authors by @fionadraxler, Robin Welsch et al.
dl.acm.org
Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for...
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We are delighted to announce that ACM TOCHI achieved an increase from 4.8 to 6.6 in its impact factor in the latest Journal Citation Reports! It is ranked in the first quartile in the categories of Cybernetics (4/31) and CS: Information Systems (25/258). https://t.co/YEkLPutF1Q
lnkd.in
This link will take you to a page that’s not on LinkedIn
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đź“„#TOCHI: "The Three Steps to Trans Death: Introducing Trans Cyber-Necropolitics in Digital Media" https://t.co/mMMHFHcx1c
@ShanoLiang, Michelle V. Cormier, Phoebe O. Toups Dugas, @rose_bohrer Examine how cyber forces target transgender people, their impacts, & possible responses
dl.acm.org
Many trans people experience marginalization and violence in cyberspace. This violence is characterized by intricate dynamics surrounding voice, identities, bodies, and social interactions. To...
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đź“„#TOCHI : "How Good is ChatGPT in Giving Advice on Your Visualization Design?" By: @namwkim85, Yongsu Ahn, Grace Myers, & Benjamin Bach compares ChatGPT's feedback with forums and experts. ChatGPT is broad and clear but less tailored and context aware. đź”— https://t.co/P7nrhZv7MX
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Title: Practitioner Motives to Use Different Hyperparameter Optimization Methods Authors: Niclas Kannengießer, Niklas Hasebrook, Felix Morsbach, Marc-André Zöller, Jörg Franke, Marius Lindauer, Frank Hutter, Ali Sunyaev Read here: https://t.co/NL0WNjUrPS (3/3)
dl.acm.org
Programmatic hyperparameter optimization (HPO) methods, such as Bayesian optimization and evolutionary algorithms, are known for their sample efficiency in identifying optimal configurations for...
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Findings show choices are driven by: • Goals like boosting model performance and deepening model understanding • Organizational constraints and tool limitations • Fit with team skills and workflows HPO is as much about context as it is about tech. (2/3)
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🌱What if tech mediated relationships with nature? New #ACMTOCHI : A scoping review of post-anthropocentric artifacts outlines 7 design strategies for human-nature engagement 🌍✨ By Madlen Kneile, Judith Dörrenbächer, Marc Hassenzahl & Matthias Laschke 📄 https://t.co/U3ymVPTguY
dl.acm.org
The threatening environmental problems of our time challenge the notion that humans are separate from and dominant over nature. As a result, many studies in Human-Computer Interaction (HCI) address...
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🤖🏳️‍⚧️ Can chatbots be trans-affirming, or do they just sound that way? New TOCHI paper finds that LLMs often respond “positively” to trans questions, but with subtle, hard-to-detect transphobia lurking beneath. 📄 Paper:
dl.acm.org
Large language models (LLMs) are the new hot trend being rapidly integrated into products and services—often, in chatbots. LLM-powered chatbots are expected to respond to any number of topics,...
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Concern is highest among younger participants, especially in the UK, while bystanders tend to be the least concerned. 📄 https://t.co/mOuPYfMfnv Authors: Patrick Kühtreiber, Hauke Bock, Viktoriya Pak, Luca Hernández Acosta, Katrin Höffler, Delphine Reinhardt
dl.acm.org
Smart speakers pose privacy risks to users and bystanders. We do not know how these risks are perceived depending on different factors, such as the potential privacy violators, the nature of the...
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🎙️Smart speakers are everywhere, but who do we fear is listening? A TOCHI study with 1,768 participants in Germany and the UK finds users and bystanders are most concerned about manufacturers and the state, not the main user of the device.
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