Social Robot Trust & Adoption Study
Mixed-methods research investigating trust factors and adoption barriers for social robots in university campus environments through user surveys and interviews
Project Overview
Challenge
Understanding what factors influence trust and adoption of social robots in diverse university campus environments with multiple stakeholder groups.
Solution
Designed iterative mixed-methods study combining public questionnaires, controlled interviews, and user observations to identify trust barriers and application opportunities for campus social robots.
Key Features
Results & Impact
Successfully identified transparency (operational and operator) as key trust factor, developed extended theoretical framework, and generated practical design recommendations for campus social robot deployment. Research accepted to OzCHI '25.
System Architecture
Data Processing
Natural language understanding and dialogue management
AI Engine
Robot control systems with speech recognition
User Interface
Physical robot interaction with voice commands
Innovation
Mixed-methods research identifying transparency as the key factor for building trust between users and social robots in university environments.
Performance
Three-stage study with 99 participants and 17 detailed interviews. Genarate 61 unique application concepts and novel trust framework
Impact & Results
Project Impact
Successfully identified transparency (operational and operator) as key trust factor, developed extended theoretical framework, and generated practical design recommendations for campus social robot deployment. Research accepted to OzCHI '25.
Key Achievements:
Future Impact
Insights from this study will guide the development of more trustworthy social robots in academic and public environments.