Wayne Giang

Assistant Professor

University of Florida

United States

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Wayne Giang is an Assistant Professor at the University of Florida, USA. His research focuses on automated driving training, the privacy attitudes of users, and the interaction between technology and driving behavior, with a particular interest in age-related differences and cognitive impairments. Recent publications include studies on instructional design in training for automated driving and the effects of technology on individuals with Parkinson's disease.

Articles (13)

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2025

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2025

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2023

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2023

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2023

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2021

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2021

Collaborators (2)

Michelle Alvarado

Assistant Professor

University of Florida

UNITED STATES

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Yue Luo

Assistant Professor

San Jose State University

UNITED STATES

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Wayne Giang

Research Interests

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Articles (13)

Automated driving training: a scoping review examining the use of instructional design and learning principles in current training research

Improving driving automation training through scaffolding of roles and responsibilities Information: A comparison between older and younger drivers

Distraction From Smartphones Changed Pedestrians’ Walking Behaviors in Open Areas

Pilot study: Effect of roles and responsibility training on driver's use of adaptive cruise control between younger and older adults

The Privacy Attitudes Questionnaire (PAQ) Turned 20: What’s Next for a Generalized Measure of Privacy Attitudes?

Users’ Navigation Strategy and Information Search with Health Insurance Decision Aids Using Social Network Analysis

Does in-vehicle automation help individuals with Parkinson’s disease? A preliminary analysis

Designing a Reminders System in Highly Automated Vehicles’ Interfaces for Individuals With Mild Cognitive Impairment

Feasibility of automated in-vehicle technologies on volunteers' driving performance

RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies

Risk perception and distraction engagement with smart devices in different types of walking environments

User Interactions With Health Insurance Decision Aids: User Study With Retrospective Think-Aloud Interviews

Informed Decision-making for Health Insurance Enrollment: Survey Study

Collaborators (2)

Michelle Alvarado

Yue Luo

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