Zhiming Hu

schoolUniversity of Stuttgartbar_chart#1946 Global Rank

Total Papers

HCI Rank

#1946

Research Areas

Years Active

Recent Publications

HAGI: Head-Assisted Gaze Imputation for Mobile Eye Trackers

Mobile eye tracking plays a vital role in capturing human visual attention across both real-world and extended reality (XR) environments, making it an essential tool for applications ranging from behavioural research to human-computer interaction. However, missing values due to blinks, pupil detection errors, or illum…

CHI '253rd AuthorHuman-LLM Collaboration +1

SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation

Recent work has highlighted the potential of modelling interactive behaviour analogously to natural language. We propose interactive behaviour summarisation as a novel computational task and demonstrate its usefulness for automatically uncovering latent user goals while interacting with graphical user interfaces. We i…

UIST '242nd AuthorExplainable AI (XAI) +1

DisMouse: Disentangling Information from Mouse Movement Data

Mouse movement data contain rich information about users, performed tasks, and user interfaces, but separating the respective components remains challenging and unexplored. As a first step to address this challenge, we propose DisMouse – the first method to disentangle user-specific and user-independent information an…

CHI '242nd AuthorVisualization Perception & Cognition +1

Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour

The mouse is a pervasive input device used for a wide range of interactive applications. However, computational modelling of mouse behaviour typically requires time-consuming design and extraction of handcrafted features, or approaches that are application-specific. We instead propose Mouse2Vec – a novel self-supervis…

CHI '245th+ AuthorExplainable AI (XAI) +2

SalChartQA: Question-driven Saliency on Information Visualisations

Understanding the link between visual attention and users' information needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap we introduce SalChartQA -- a novel crowd-sourced dataset that uses the BubbleVie…

UIST '232nd AuthorEye Tracking & Gaze Interaction +1

SUPREYES: SUPer Resolutin for EYES Using Implicit Neural Representation Learning

We introduce SUPREYES – a novel self-supervised method to increase the spatio-temporal resolution of gaze data recorded using low(er)-resolution eye trackers. Despite continuing advances in eye tracking technology, the vast majority of current eye trackers – particularly mobile ones and those integrated into mobile de…

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