technology
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Competence Penalty is a Barrier to the Adoption of New Technology
Competence Penalty Is a Barrier to the Adoption of New Technology (Gai, Hou, Tu) reports a three-part study examining why generative AI coding tools remain under-adopted even in environments where traditional barriers such as access, training, and infrastructure have largely been removed. Study 1 draws on digital trace data from 28,698 software engineers following the…
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On changing tools, and tools changing us
TL;DR: Changing research tools changes research practice. This reflection takes a CSCW-informed view of tool migration, examining how new platforms reshape workflows, redistribute expertise, and influence what teams come to treat as valid insight. I draw on a recent experience of changing tools in a large complex organisation. (CSCW is Computer-Supported Cooperative Work which studies…
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Bias in Human-AI Collaboration
TL;DR: Human–AI collaboration is now common in both low- and high-stakes settings, but human cognitive biases can distort how people evaluate AI outputs. Biases like automation bias (over-trust), algorithmic loafing (reduced effort), and automation-induced complacency (reduced vigilance) can all weaken oversight and lead to serious errors. Because these flawed decisions can also flow back into…
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Doraemon’s Gadget Lab: Unpacking Human Needs and Interaction Design in Speculative Technology
Doraemon’s Gadget Lab (Tran) is a playful research paper from CHI 2025, held in Yokohama, Japan. Having grown up watching Japanese cartoon show Doraemon, I did not expect to encounter HCI analysis of its gadgets in the CHI proceedings. Tran analyses 379 of Doraemon’s gadgets, categorising them into 33 subcategories and 10 higher-level groupings, to examine the…
Brian Grellmann 