Xiaojuan Ma
Scholar

Xiaojuan Ma

Google Scholar ID: TN0zm80AAAAJ
Hong Kong University of Science and Technology
Human-Computer InteractionHuman-Engaged ComputingAffective Computing
Citations & Impact
All-time
Citations
6,910
 
H-index
44
 
i10-index
157
 
Publications
20
 
Co-authors
0
 
Contact
Resume (English only)
Academic Achievements
  • The paper 'Rethinking Technological Solutions for Community-Based Older Adult Care: Insights from 'Older Partners' in China' received the Honorable Mention Award at CSCW2025.
  • The paper 'From Platform Migration to Cultural Integration: the Ingress and Diffusion' was presented at CSCW 2025 Poster.
  • The paper 'PaperBridge: Crafting Research Narratives through Human-AI Co-Exploration' was presented at UIST 2025.
  • The paper 'OceanVive: An Immersive Visualization System for Communicating Complex Oceanic Phenomena' was presented at IEEE VIS 2025 Short.
  • The paper 'Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person Conversations' received the Honorable Mention Award at CHI2025.
  • The paper 'Let's Resolve Conflicts: A Human-AI Deliberation Framework for AI-Assisted Decision-Making' received the Honorable Mention Award at CHI2025.
  • The paper 'AI Afterlives as Digital Legacy: Perceptions, Expectations, and Concerns' received the Honorable Mention Award at CHI2025.
  • The paper 'InsightBridge: Enhancing Empathizing with Users through Real-Time Information Synthesis and Visual Communication' was presented at CHI2025.
  • The paper 'CoKnowledge: Supporting Assimilation of Time-synced Collective Knowledge in Online Science Videos' was presented at CHI2025.
  • The paper 'DBox: Assisting Algorithmic Programming Learning with Interactive and Adaptive Decomposition Box' was presented at CHI2025.
  • The paper 'Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-Creation' was presented at CHI2025.
Research Experience
  • Involved in multiple research projects on human-machine dialogue systems, technological solutions for community-based elderly care, and the integration of traditional medicine with AI.
Background
  • Research interests include human-computer interaction, application of AI in healthcare and social services, etc.
Co-authors
0 total
Co-authors: 0 (list not available)