Center for Connected and Automated Transportation > Research > Research from Purdue University > A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers

A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers

A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers

In Progress
Headshot of Christos Mousas. The link directs to their bio page.
Christos Mousas
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Principal Investigator(s):

Christos Mousas, Assistant Professor of Computer Graphics Technology – Purdue University

Project Abstract:
The aim of this proposal is to develop a virtual reality framework and incorporate virtual reality technology to examine and understand the physiological and psychological responses of self-driving car passengers. After developing the virtual reality framework, volunteers will be asked to participate in studies examining their anxiety levels and other psychological and physiological responses. Participants will act as car passengers in a virtual self-driving car and be immersed in a virtual reality trip. Participants will be asked to wear a head-mounted display (HMD) and enjoy the trip in the self-driving car. During the experiment, the participants’ anxiety will be captured by recording the electrodermal responses using galvanic skin response (GSR) sensors.

Institution(s): Purdue University

Award Year: 2019

Research Thrust(s): Human Factors

Project Form(s):

Project Information Form