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9 papers · 1 filter
Sketch2Topo: Using Hand-Drawn Inputs for Diffusion-Based Topology Optimization
Shuyue Feng, Cedric Caremel, Yoshihiro Kawahara
Topology optimization (TO) is employed in engineering to optimize structural performance while maximizing material efficiency. However, traditional TO methods incur significant com…
SRL Proxemics: Spatial Guidelines for Supernumerary Robotic Limbs in Near-Body Interactions
Hongyu Zhou, Chia-An fan, Yihao Dong +4
Wearable supernumerary robotic limbs (SRLs) sit at the intersection of human augmentation and embodied AI, transforming into extensions of the human body. However, their movements…
AI Personalization Paradox: Personalized AI Increases Superficial Engagement in Reading while Undermines Autonomy and Ownership in Writing
Peinuan Qin, Chi-Lan Yang, Nattapat Boonprakong +3
AI-assisted writing raises concerns about autonomy and ownership when benefiting writers. Personalization has been proposed as an effective solution while also risking writers' rel…
LLM-based In-situ Thought Exchanges for Critical Paper Reading
Xinrui Fang, Anran Xu, Chi-Lan Yang +3
Critical reading is a primary way through which researchers develop their critical thinking skills. While exchanging thoughts and opinions with peers can strengthen critical readin…
Cyberoception: Finding a Painlessly-Measurable New Sense in the Cyberworld Towards Emotion-Awareness in Computing
Tadashi Okoshi, Zexiong Gao, Tan Yi Zhen +4
In Affective computing, recognizing users' emotions accurately is the basis of affective human-computer interaction. Understanding users' interoception contributes to a better unde…
Timing Matters: How Using LLMs at Different Timings Influences Writers' Perceptions and Ideation Outcomes in AI-Assisted Ideation
Peinuan Qin, Chi-Lan Yang, Jingshu Li +2
Large Language Models (LLMs) have been widely used to support ideation in the writing process. However, whether generating ideas with the help of LLMs leads to idea fixation or ide…