Selected work

Representative Papers

Analysis of Motor Signatures of Social Adaptation in Autism for Efficient Human-Centric Systems

Aug 12, 2026

This study addresses the identification of social adaptation differences in individuals with autism spectrum disorder (ASD) through movement behavior characteristics, aiming to inform precision medicine and human-computer interaction design. Using 3D motion capture data collected during a dance imitation task, the research compares movement patterns between autistic and neurotypical adults in both solitary and social contexts. It introduces the Social Context Sensitivity Index (SCSI), which—by quantifying how motor variability is modulated by social framing—proposes a novel potential motor biomarker for ASD. Movement consistency is assessed via dynamic time warping, and machine learning models are employed for group classification. Results reveal that neurotypical participants exhibit significantly increased upper- and lower-limb motor variability in social settings, whereas ASD participants maintain stable variability. The classifier achieves a balanced accuracy of 79.2%.

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Closing the Loop: A Systematic Review of Experience-Driven Game Adaptation

May 02, 2025

This paper addresses the structural imbalance in existing adaptive game systems—prioritizing performance optimization over affective responsiveness. Through a systematic review of empirically grounded studies from 2015–2024, guided by the PRISMA framework, it identifies critical implementation bottlenecks in the “experience-driven closed loop” across three stages: player perception, affective modeling, and content adaptation. Key findings reveal a severe gap in modeling transient affective states (e.g., stress, anxiety), dominance of knowledge-driven approaches, and underutilization of multimodal affective sensing. To bridge this gap, the paper proposes a novel real-time affective sensing paradigm integrating facial expression analysis with peripheral interaction data. It further underscores the pivotal role of interpretable affective modeling in enhancing immersion and therapeutic efficacy. The work establishes a theoretically grounded framework and actionable design principles for developing truly player experience–centered adaptive game systems.

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Recent publications

Latest Papers

Analysis of Motor Signatures of Social Adaptation in Autism for Efficient Human-Centric Systems

Aug 12, 2026

This study addresses the identification of social adaptation differences in individuals with autism spectrum disorder (ASD) through movement behavior characteristics, aiming to inform precision medicine and human-computer interaction design. Using 3D motion capture data collected during a dance imitation task, the research compares movement patterns between autistic and neurotypical adults in both solitary and social contexts. It introduces the Social Context Sensitivity Index (SCSI), which—by quantifying how motor variability is modulated by social framing—proposes a novel potential motor biomarker for ASD. Movement consistency is assessed via dynamic time warping, and machine learning models are employed for group classification. Results reveal that neurotypical participants exhibit significantly increased upper- and lower-limb motor variability in social settings, whereas ASD participants maintain stable variability. The classifier achieves a balanced accuracy of 79.2%.

0 citationsRead paper

Closing the Loop: A Systematic Review of Experience-Driven Game Adaptation

May 02, 2025

This paper addresses the structural imbalance in existing adaptive game systems—prioritizing performance optimization over affective responsiveness. Through a systematic review of empirically grounded studies from 2015–2024, guided by the PRISMA framework, it identifies critical implementation bottlenecks in the “experience-driven closed loop” across three stages: player perception, affective modeling, and content adaptation. Key findings reveal a severe gap in modeling transient affective states (e.g., stress, anxiety), dominance of knowledge-driven approaches, and underutilization of multimodal affective sensing. To bridge this gap, the paper proposes a novel real-time affective sensing paradigm integrating facial expression analysis with peripheral interaction data. It further underscores the pivotal role of interpretable affective modeling in enhancing immersion and therapeutic efficacy. The work establishes a theoretically grounded framework and actionable design principles for developing truly player experience–centered adaptive game systems.

0 citationsRead paper