Collaborative songwriting with AI conversational agents enables emotional release, reinterpretation, and self-understanding for DHH individuals via supportive empathy and visual metaphors.
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IdeaBlocks modularizes divergent intents into Exploration Blocks with multi-level reuse options, enabling 2.13 times more images explored and 12.5% greater visual diversity than baseline in a comparative user study.
Robots detect underspecified reward features via demonstration variation and query targeted natural language explanations to improve reward recovery from imperfect demos.
VPL learns individualized vibrotactile preferences efficiently via uncertainty-aware Gaussian process models and active query selection in a 13-participant user study on an Xbox controller.
Glide-in-Place uses per-foot pressure sensing for continuous differential-drive VR locomotion, outperforming seated walking-in-place on speed and fatigue while matching joystick performance on simulator sickness in a 16-person study.
ReFinE is a Figma plugin that synthesizes contextualized design implications from HCI literature to provide actionable visual guidance for iterating on UI mockups.
Shorter LLM response latencies reduce perceived output thoughtfulness and usefulness, while task type affects prompting frequency independently of latency.
EvalAI providing pro/con arguments improves provision-level accuracy and reduces misclassification distance in DSA illegal content reporting under AI error conditions versus conventional XAI.
Virtual evacuation study with 56 participants finds humans prefer robots that proactively use refuge niches to yield space, with a clear hierarchy over freezing or efficiency-focused strategies.
AI drafts for audio description reduce editing time and cognitive load only when they exceed a content-dependent quality threshold, unlike unguided baseline drafts.
AI-labeled input devices raise user performance expectations but produce no measurable change in objective or subjective interaction outcomes.
A multi-view point cloud VR system with wrist RGB detail outperforms RGB streams and stereo views in robot teleoperation tasks per a 31-participant user study.
Annotators' competence in recognizing social influence techniques increases during the annotation process, more pronounced in experts, visibly affecting LLM performance on the resulting data.
RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.
AR-assisted rebar inspection reduced mean trunk flexion by 30.8%, neck flexion by 32.8%, task time by 67.7%, walking distance and hand-path length by over 50%, and NASA TLX workload by 45.6%, with accuracy maintained and SUS usability of 76.1.
No performance difference was found between neuro-adaptive and fixed-difficulty VR flight training, yet pilots preferred the adaptive version after briefing.
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AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act
EvalAI providing pro/con arguments improves provision-level accuracy and reduces misclassification distance in DSA illegal content reporting under AI error conditions versus conventional XAI.