2024 ASEE Annual Conference & Exposition

Influential Factors in the Adoption of Wearable and Environmental IoT-Enabled Smart Devices and Application to Cognitive-Affective Engineering Design

Presented at Design in Engineering Education Division (DEED) - Use of Technology in Design Education

As more IoT-enabled smart devices enter the market, there is a need to understand which consumers are attracted to what types of smart devices and why. This study examines how user experience, privacy beliefs, and motivation influence wearable and environmental smart devices adoption by college students and their parents in the United States. Therefore, this paper uniquely addresses the affective-cognitive factors of IoT adoption that can inform the future design of wearable and environmental smart devices. Based on a survey of 84 participants (42 pairs of college students and their parents), the findings suggest that college students preferred wearable smart devices and their parents, environmental smart devices. There were differences in how these smart devices were used and perceived by each group. Principal component analysis resulted in three components that influence attitude, intentions, and behaviors toward wearable and environmental smart devices adoption and use. The three components were: User Experience, Privacy Beliefs, and Motivation. Being a power user, ease of use, enjoyment, usefulness, risk beliefs, trust beliefs, social influences, and willingness to pay loaded on these components and were constructs of significance. These findings have implications for education and practice, in addition to the technical requirements, of engineering design to address user needs and preferences from a human-centered perspective.

Authors

Dr. Lisa Massi http://orcid.org/https://0009-0007-3703-0798 University of Central Florida [biography]

Dr. Lisa Massi is the Accreditation and Program Approval Specialist for the College of Engineering and Computer Science at the University of Central Florida (UCF). Her primary responsibilities are accreditation, assessment, and data administration. She has been Co-PI on two NSF-funded S-STEM grants, and program evaluator for three NSF-funded REUs at UCF. Dr. Massi has served in leadership roles as Board Chair for the Cooperative and Experiential Division (CEED) of the American Society for Engineering Education (ASEE) and Chair of the University Assessment Committee at UCF. She has been an active member in ASEE since 2003 as presenter, reviewer, moderator, and CEED conference program chair. Her research interests include student persistence, professional identity and development, and social and cultural capital in the STEM fields.
Salih Safa Bacanli University of Central Florida [biography]

Salih Safa Bacanli is got his M.S. and Ph.D. from Department of Computer Science, University of Central Florida. He received his BS degree in Computer Engineering from Bilkent University, Turkey. His research interest include computer science education, unsupervised machine learning, wireless sensor networks. He is currently lecturer at Department of Computer Science, University of Central Florida
Dr. Pamela J. Wisniewski Vanderbilt University [biography]

Dr. Pamela Wisniewski is an Associate Professor in Human-Computer Interaction and Flowers Family Faculty Fellow in Engineering at Vanderbilt University. Her work lies at the intersection of Social Computing and Privacy. She is the Director of the Socio-Technical Interaction Research (STIR) Lab. She has authored over 150 peer-reviewed publications and won multiple best papers (top 1%) and best paper honorable mentions (top 5%) at ACM SIGCHI conferences. She has been awarded $4.73 million in external grant funding, including the NSF CAREER Award, and her research has been featured by popular news media outlets, including Scientific American, ABC News, NPR, Psychology Today, and U.S. News and World Report.
Dr. Damla Turgut http://orcid.org/0000-0001-8635-7198 University of Central Florida [biography]

Damla Turgut is Charles Millican Professor of Computer Science at University of Central Florida. She has secondary joint appointments in the Dept. of Electrical and Computer Engineering and the UCF Resilient, Intelligent and Sustainable Energy Systems (RISES) Cluster. She is the co-director of the AI Things Laboratory. She received her PhD from the Computer Science and Engineering Department of University of Texas at Arlington. She held visiting researcher positions at University of Rome ``La Sapienza'', Imperial College of London and KTH Royal Institute of Technology, Stockholm, Sweden.

Her research interests include wireless ad hoc, sensor, underwater, vehicular, and social networks, edge/cloud computing, smart cities, smart grids, IoT-enabled healthcare and augmented reality, as well as considerations of privacy in the Internet of Things. She is also interested in applying big data techniques for improving STEM education for women and minorities.

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