Zhipeng Li

schoolETH Zurichbar_chart#578 Global Rank

Total Papers

HCI Rank

#578

Research Areas

Years Active

Recent Publications

Automating UI Optimization through Multi-Agentic Reasoning

We present AutoOptimization, a novel multi-objective optimization framework for adapting user interfaces. From a user’s verbal preferences for changing a UI, our framework guides a prioritization-based Pareto frontier search over candidate layouts. It selects suitable objective functions for UI placement while simulta…

CHI '261st AuthorGenerative AI (Text, Image, Music, Video) +2

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

Generative models are increasingly powerful, yet users struggle to guide them through prompts. The generative process is difficult to control and unpredictable, and user instructions may be ambiguous or under-specified. Prior prompt refinement tools heavily rely on human effort, while prompt optimization methods focus…

UIST '252nd AuthorAR Navigation & Context Awareness +1

SwitchAR: Perceptual Manipulations in Augmented Reality

Perceptual manipulations (PMs) like redirected walking (RDW) are frequently applied in Virtual Reality (VR) to overcome technological limitations. These PMs manipulate the user’s visual perceptions (e.g. through rotational gains), which is currently challenging in Augmented Reality (AR). We propose SwitchAR, a PM for…

UIST '251st AuthorExplainable AI (XAI) +1

Efficient Visual Appearance Optimization by Learning from Prior Preferences

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 space and the lack of an explicit objective function, leaving users to rely solely on their implicit preferences. Prior work has explored Prefe…

CHI '253rd AuthorHonorable MentionHuman-LLM Collaboration

Continual Human-in-the-Loop Optimization

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 human-in-the-loop optimization has the potential to identify optimal settings during use, it is rarely applied due to its long optimization pr…

CHI '251st AuthorEye Tracking & Gaze Interaction +2

Modeling the Impact of Visual Stimuli on Redirection Noticeability with Gaze Behavior in Virtual Reality

While users could embody virtual avatars that mirror their physical movements in Virtual Reality, these avatars' motions can be redirected to enable novel interactions. Excessive redirection, however, could break the user's sense of embodiment due to perceptual conflicts between vision and proprioception. While prior…

UIST '241st AuthorAR Navigation & Context Awareness +1

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

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 contexts. However, existing adaptive systems are designed only for static environments. In this paper, we introduce SituationAdapt, a system…

CHI '241st AuthorImmersion & Presence Research +1

Predicting the Noticeability of Dynamic Virtual Elements in Virtual Reality

While Virtual Reality (VR) systems can present virtual elements such as notifications anywhere, designing them so they are not missed by or distracting to users is highly challenging for content creators. To address this challenge, we introduce a novel approach to predict the noticeability of virtual elements. It comp…

CHI '243rd AuthorExplainable AI (XAI) +2

Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention

Despite a rich history of investigating smartphone overuse intervention techniques, AI-based just-in-time adaptive intervention (JITAI) methods for overuse reduction are lacking. We develop Time2Stop, an intelligent, adaptive, and explainable JITAI system that leverages machine learning to identify optimal interventio…

UIST '233rd AuthorShape-Changing Interfaces & Soft Robotic Materials +1

Reprogrammable Digital Metamaterials for Interactive Devices

We present digital mechanical metamaterials that enable multiple computation loops and reprogrammable logic functions, making a significant step towards passive yet interactive devices. Our materials consist of many cells that transmit signals using an embedded bistable spring. When triggered, the bistable spring disp…

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