Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Professor Alistair Barros
Position
Head of School, Information Systems
Division / Faculty
Faculty of Science
Dr Kenan Degirmenci
Position
Lecturer in Information Systems
Division / Faculty
Faculty of Science
Associate Professor Sara Khalifa
Position
Associate Professor
Division / Faculty
Faculty of Science

Overview

Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al., 2023).

Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. However, there are various challenges regarding the adoption of kinetic energy harvesters, such as consumer reluctance due to privacy concerns, where consumers feel that their privacy is intruded because their individual activities are surveilled by governments and corporations (Degirmenci, 2020).

In this project, we analyse behavioural aspects of consumers why they adopt (or not adopt) kinetic energy harvesters, where consumers and governments/corporations can co-create value, which however is hampered by a reluctance to disclose personal data (Alotaibi et al., 2023).

References

  • Alotaibi, A., Barros, A., Degirmenci, K. (2023). Co-creating value from electric vehicle digital services: Effect of perceived environmental performance on personal data sharing. Proceedings of the 31st European Conference on Information Systems, Kristiansand, Norway. https://aisel.aisnet.org/ecis2023_rp/330
  • Degirmenci, K. (2020). Mobile users’ information privacy concerns and the role of app permission requests. International Journal of Information Management, 50, 261-272. https://doi.org/10.1016/j.ijinfomgt.2019.05.010
  • Sandhu, M. M., Khalifa, S., Jurdak, R., Portmann, M., Kusy, B. (2023). FusedAR: Energy-positive human activity recognition using kinetic and solar signal fusion. IEE Sensors Journal, 23(11), 12411-12426. https://doi.org/10.1109/JSEN.2023.3268687

Start date

15 November, 2024

End date

15 February, 2025

Location

QUT Gardens Point Campus, Y Block

Keywords

Contact

Contact the supervisor for more information.