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Biography
Dr. Jonathan Vitale is a Research Fellow affiliated with the Australian Institute of Health Innovation, Centre for Health Informatics, at Macquarie University. Jonathan holds a Ph.D. in Computer Science and Information Technology from the University of Technology Sydney (UTS), and a Bachelor's and Master's degrees in Computer Science from the University of Milan, each with First Class Honours.
During his role as a Postdoctoral researcher at UTS spanning three years, Dr. Vitale engaged in collaborative research endeavours with prominent Australian and international industry partners. His primary focus involved the design, implementation, and evaluation of innovative social robotics applications deployed in public settings, notably including Sydney International Airport and Stockland shopping centre. He possesses substantial expertise in designing and conducting human experiments aimed at probing into psychological and behavioural dynamics influenced by human interactions with intelligent machines. Furthermore, Jonathan assumed the role of Senior Lead Team member for the UTS RoboCup@Home team from 2017 to 2019, achieving consecutive second-place finishes in 2017 and 2018, followed by a first-place victory in 2019.
Dr. Vitale's expertise extends beyond research into the field of education and mentorship. With years of experience in teaching and units design, he continues to actively partake in teaching activities at UTS and at the University of New England.
Research interests
Dr. Jonathan Vitale's research interests span across the interdisciplinary fields of human-machine interaction, cognitive science, and artificial intelligence. Within the domain of human-machine interaction, his focus lies in the design, development, and testing of innovative human-centred technologies. Employing a Design Thinking approach, he endeavours to create technologies that facilitate seamless interactions between humans and machines. Jonathan complements this by conducting human experiments to discern how such interactions influence human behaviour, cognition, and their decision-making.
In the realm of cognitive science, Dr. Vitale seeks to offer computational models of human cognition that elucidate data gathered from experimental studies. His particular interests revolve around topics such as privacy, trust, and decision-making, aiming to uncover the underlying cognitive processes governing these phenomena.
Furthermore, within the field of artificial intelligence, his research delves into the development of models for detecting and recognising various human social features. From identifying individuals to discerning subtle facial expressions, his work contributes to advancing the capabilities of AI systems in understanding and interacting with humans on a social level.
Education/Academic qualification
Information Technology, PhD, University of Technology Sydney
Award Date: 22 Mar 2018
Computer Science, Master's Degree, University of Milano-Bicocca
Award Date: 2 Nov 2012
Digital Communications - Computer Science, Bachelor's degree, University of Milan
Award Date: 8 Oct 2010
External positions
Casual Lecturer, University of New England Australia
Casual Lecturer, University of Technology Sydney
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Fujitsu Macquarie AI Research Lab
Takeuchi, S., Berkovsky, S., Beheshti, A., Coiera, E., Vitale, J., Xin, K. & Suzuki, G.
1/12/23 → 31/01/27
Project: Research
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Simulation evidence of trust calibration: using POMDP with signal detection theory to adapt agent features for optimised task outcome during human-agent collaboration
Herse, S., Vitale, J. & Williams, M-A., Jun 2024, In: International Journal of Social Robotics. 16, 6, p. 1381-1403 23 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure) -
Using agent features to influence user trust, decision making and task outcome during human-agent collaboration
Herse, S., Vitale, J. & Williams, M-A., 2023, In: International Journal of Human-Computer Interaction. 39, 9, p. 1740-1761 22 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
An in-the-wild study to find type of questions people ask to a social robot providing question-answering service
Raza, S. A., Vitale, J., Tonkin, M., Johnston, B., Billingsley, R., Herse, S. & Williams, M-A., Jul 2022, In: Intelligent Service Robotics. 15, 3, p. 411-426 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)29 Downloads (Pure) -
An accelerated CS0 for online mature-age part-time students
Billingsley, W. & Vitale, J., 26 Jun 2021, ITiCSE 2021: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education. Germany: Association for Computing Machinery, p. 526-532 7 p. 3456361. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Computational emotion models: a thematic review
Ojha, S., Vitale, J. & Williams, M-A., Sept 2021, In: International Journal of Social Robotics. 13, 6, p. 1253-1279 27 p.Research output: Contribution to journal › Review article › peer-review
14 Citations (Scopus)