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20242026
most citedTouchInsight: Uncertainty-aware Rapid Touch and Text Input for Mixed Reality from Egocentric Vision

22 citations · 48 across the 18 of their papers we have counts for

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8 papers · 1 filter

cs.HC2026

Aura: Dynamic Intra-Turn Emotion-Aware Adaptation of Large Language Model Responses

Rachel Schuchert, Christian Holz

Effective human-AI interaction requires systems that dynamically adapt to a user's behavior and evolving understanding. When users interact with Large Language Models (LLMs), these…

cs.HC2026

Retrofitting Existing 3D Objects with Surface-Conforming Capacitive Sensing

Andela Ilic, Junpeng Gao, Zhipeng Li +5

Augmenting the surface of 3D objects with capacitive sensing is challenging when their volumes cannot be modified. In this paper, we present a generative computational fabrication…

cs.HC2026

Preference-Guided Prompt Optimization for Text-to-Image Generation

Zhipeng Li, Yi-Chi Liao, Christian Holz

Generative models are increasingly powerful, yet users struggle to guide them through prompts. The generative process is difficult to control and unpredictable, and user instructio…

cs.HC2025★ 3 cited

Preference-Guided Multi-Objective UI Adaptation

Yao Song, Christoph Gebhardt, Yi-Chi Liao +1

3D Mixed Reality interfaces have nearly unlimited space for layout placement, making automatic UI adaptation crucial for enhancing the user experience. Such adaptation is often for…

cs.HC2025

Efficient Visual Appearance Optimization by Learning from Prior Preferences

Zhipeng Li, Yi-Chi Liao, Christian Holz

Adjusting visual parameters such as brightness and contrast is common in our everyday experiences. Finding the optimal parameter setting is challenging due to the large search spac…

cs.HC2025★ 11 cited

Continual Human-in-the-Loop Optimization

Yi-Chi Liao, Paul Streli, Zhipeng Li +2

Optimal input settings vary across users due to differences in motor abilities and personal preferences, which are typically addressed by manual tuning or calibration. Although hum…

cs.HC2025★ 11 cited

Redefining Affordance via Computational Rationality

Yi-Chi Liao, Christian Holz

Affordances, a foundational concept in human-computer interaction and design, have traditionally been explained by direct-perception theories, which assume that individuals perceiv…

cs.HC2024

SituationAdapt: Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM Reasoning

Zhipeng Li, Christoph Gebhardt, Yves Inglin +3

Mixed Reality is increasingly used in mobile settings beyond controlled home and office spaces. This mobility introduces the need for user interface layouts that adapt to varying c…