Designing Trust in Urban Air Mobility -The Role of Interior Interaction Design in Shaping Safety and User Acceptance
Description
This research is grounded in the hypothesis that interior interaction design plays a central role in shaping user trust, perceived safety, comfort, and adoption readiness in Urban Air Mobility (UAM). Specifically, the study hypothesises that visible safety cues, transparent communication, ergonomic comfort, and human-centered interaction features positively influence user acceptance of autonomous air mobility systems. Rather than viewing adoption as a direct outcome of technological performance, the study assumes that adoption is mediated through users’ experiential and psychological interpretations of the cabin environment. This dataset supports the study “Designing Trust in Urban Air Mobility: The Role of Interior Interaction Design in Shaping Safety and User Acceptance.” It comprises anonymised data collected through a two-phase online survey designed to examine user experience (UX) factors influencing trust, safety perception, comfort, usability, and adoption readiness in Urban Air Mobility (UAM). Phase 1 involved an exploratory pilot survey conducted with 44 urban travellers, aimed at refining survey items and validating the relevance of experiential constructs related to UAM interiors and interaction design. Insights from this phase informed the final structure of the survey instrument. Phase 2 consisted of the main survey administered to 261 urban travellers in India, using a structured questionnaire with Likert-scale items measuring five experiential constructs—trust, safety, comfort, usability, and adoption readiness—along with demographic variables such as age group and city of residence. This phase also included open-ended qualitative questions to capture contextual insights into user perceptions, concerns, and expectations regarding UAM interior environments. All responses were anonymised at the point of collection, and no personally identifiable information was recorded. The dataset was generated exclusively for academic research purposes and analysed using established quantitative and qualitative methods appropriate for design research.