The Behavioral Design Laboratory was established in 2020 at the University of Tsukuba.
Our research aims to understand human interaction and to help design a future in where diversity is not treated as a disability.
Grounded in applied behavior analysis (ABA), we employ experimental approaches—such as single case designs and psychological experiments— to systematically study human behavior.
To describe, predict, and control human social interaction, we collaborate with researchers across disciplines and institutions, integrating technologies such as computer vision, wearable devices, and social robots.
Through interdisciplinary collaboration and real-world implementation, we aim to design inclusive environments that promote meaningful participation for all individuals.
Our ultimate goal is to bridge the gap between behavioral science and society by transforming empirical knowledge into plactical solutions.
Designing Behavior in Children with Autism Spectrum Disorder Using Information and Psychological Technologies
We conduct research aimed at measuring and modifying the behavior of children with autism spectrum disorder (ASD), particularly those who face challenges experience difficulties in social interaction.
To this end, we integrate state-of-the-art technologies from both information science and psychology to develop and evaluate innovative behavior support systems.
Selected Research Topics
Investigating mechanisms of contingent imitation through acoustic analysis
Examining the effects of wearable device-based feedback on social engagement
Measuring self-injurious behavior in individuals with severe challenging behaviors using accelerometers
Developing and evaluating a remote parent support program using a behavioral observation application
Quantitative analysis of social interactions in special education classrooms using computer vision
Designing an interface for assessing social communication through gaze visualization
Facilitating social play using paired robotic devices
Capturing and augmenting face-to-face behavior using wearable technology
Monitoring heart rate variability during sleep with smart clothes
Modeling therapist-child interpersonal distance using a motion capture system
Designing Behavior in Dyadic Spoken Interactions
We investigate the factors that influence dyadic spoken language interactions across various real-world contexts.
Our goal is to identify key determinants of interaction quality and to design more effective and adaptive patterns of interpersonal communication.
Selected Research Topics
Evaluating the impact of supervisor training on 1-on-1 meetings in corporate settings
Investigating the effect of face visibility on response behavior in individuals with selective mutism experience
Assessing the effectiveness of behavioral skills training for simulated job interview scenarios
Evaluating behavioral skills training targeting how individuals receive feedback
Examining the impact of face visibility in video calls on task engagement
Identifying the discriminative function of others' approach or avoidance behavior as a a consequence of visual fixation
Designing Verbal Behavior: Integrating Theory, Learning, and Everyday Use
Building on B. F. Skinner's theory of verbal behavior, we study how language acquires and generalizes new stimulus functions.
Our research spans effective methods for language learning, as well as long-term and everyday language use in natural settings.
Selected Research Topics
Comparing the effects of different learning conditions on untrained stimulus relations in foreign vocabulary acquisition
Examining the effects of rehearsal and articulatory suppression procedures on foreign language learning
Identifying daily predictors of well-being using the experience sampling method
Investigating the effects of equivalence-based instruction (EBI) on learning statistical hypothesis testing procedures
Exploring gender stereotypes using the Implicit Relational Assessment Procedure (IRAP)
Developing the Japanese version of the Evasive Attitudes of Sexual Orientation Scale