Beijing Institute of Technology

schoolSchoolbar_chart#271 Global Rank

Total Papers

HCI Rank

#271

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Recent Publications

Latest papers from Beijing Institute of Technology

CHI '26Immersion & Presence Research +2

“Capture Your Experience at This Moment”: Collecting Concurrent User Experience Data in Immersive Virtual Environment

Environmental User Experience (UX) data collection is essential for user research, enabling evidence-based design decisions. However, traditional retrospective methods like micro-phenomenological interviews suffer from recall inaccuracies and memory distortions. Concurrent UX data collection methods with environmental…

CHI '26Social Robot Interaction +2

Ready for the Touch: Exploring Users' Perceived Transparency of Robot Pre-Touch Cues

The emergence of embodied intelligence is expending the landscape of human-robot interaction (HRI) to include more direct and physical contact. While robot touch can provide assistance or comfort, a lack of Perceived Transparency before the touch, meaning limited clarity of the robot’s intentions, can lead to user con…

CHI '26Hand Gesture Recognition +2

MagFace: Interference-Resistant Facial Gesture Recognition System on Cycling Glasses with Low-Power Magnetic Sensing

Facial interaction provides a safe, hands-free input method for cyclists. However, existing wearable facial gesture recognition suffers from severe interference in real-world conditions such as lighting, vibration, sweat, noise, and temperature changes. We present MagFace, an interference-resistant recognition system…

CHI '26Social Robot Interaction +1

ATRU: A Stage-based Framework for Designing Ethology-Inspired Social Robots

Animal behavior (ethology) has emerged as a promising source of inspiration for social robot design. However, existing efforts have commonly resulted in isolated design instances. Our high-level understanding of the design processes for integrating ethological insights into social robot design and evaluation remains…

CHI '26Human-LLM Collaboration +3

DALL: Data Labeling via Data Programming and Active Learning Enhanced by Large Language Models

Deep learning models for natural language processing rely heavily on high-quality labeled datasets. However, existing labeling approaches often struggle to balance label quality with labeling cost. To address this challenge, we propose DALL, a text labeling framework that integrates data programming, active learning,…

CSCW '25Caring at a Distance

AI as a Bridge Across Ages: Exploring The Opportunities of Artificial Intelligence in Supporting Inter-Generational Communication in Virtual Reality

Inter-generational communication is essential for bridging generational gaps and fostering mutual understanding. However, maintaining it is complex due to cultural, communicative, and geographical differences. Recent research indicated that while Virtual Reality (VR) creates a relaxed atmosphere and promotes companion…

CSCW '25Data Visualization

BiaSeer: A Visual Analytics System for Identifying and Understanding Media Bias

Media bias refers to bias in news reporting and coverage, which exists pervasively. By identifying media bias, social scientists can understand different perspectives held by media outlets in news reporting. Existing studies only focus on the media bias analysis of isolated incidents but neglect its sustained characte…

UIST '25Human-LLM Collaboration +2

InReAcTable: LLM-powered Interactive Visual Data Story Construction from Tabular Data

Insights in tabular data capture valuable patterns that help analysts understand critical information. Organizing related insights into visual data stories is crucial for in-depth analysis. However, constructing such stories is challenging because of the complexity of the inherent relations between extracted insights.…

DIS '25Shape-Changing Interfaces & Soft Robotic Materials

A Card-based Co-Design Toolkit for Exploring Smart Material Applications with Multiple Stakeholders: A Case Study on Automotive Interior Design

Smart materials have garnered significant attention in both academia and industry, yet identifying pragmatically impactful applications still requires contributions from multiple stakeholders, including researchers, designers, and industry professionals. Although previous research has explored novel technical approach…

CHI '25Generative AI (Text, Image, Music, Video) +2

Seeking Inspiration through Human-LLM Interaction

Large language model (LLM) systems have been shown to stimulate creative thinking among creators, yet empirical research on whether users can seek inspiration in their everyday lives through these technologies is lacking. This paper explores which attributes of LLMs influence inspiration-seeking processes. Focusing on…

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https://hci.top/en/institutions/Beijing%20Institute%20of%20Technology?source=all

At a Glance

Institution Snapshot

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Beijing Institute of Technology

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Location

China · Asia

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Overall Rank

#271

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Total Papers

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Active Years

2018-2026

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36 researchers · 0 collaborators

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Top Research Directions

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Virtual, Augmented & Mixed Reality (XR)

Immersion & Presence Research

AI & Machine Learning Interaction

Human-LLM Collaboration

Robotics & Autonomous Systems

Social Robot Interaction

Health, Healthcare & Wellbeing

Mental Health Apps & Online Support Communities

Research Methods & Design Practice

Prototyping & User Testing