Overview
Availability
- Dr Maylis Saigot is:
- Available for supervision
Fields of research
Research interests
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Digital technologies and affective dynamics in digitalized work environments
My research explores the multifaceted ways in which digital technologies shape team interactions, individual experiences, and workplace dynamics, with a focus on affective processes, datastress, and Generative AI. I investigate how emotions, moods, and cognitive responses unfold in digital collaboration spaces, utilizing a variety of methods, including lab experiments, social media analytics, and qualitative interviews. This work aims to uncover how digital tools impact team performance, affective communication, and neurodiverse experiences.
Works
Search Professor Maylis Saigot’s works on UQ eSpace
2024
Journal Article
Let's talk about it in the morning: how circadian rhythms impact information sharing on social media
Gleasure, Rob, Saigot, Maylis and Kanat, Irfan (2024). Let's talk about it in the morning: how circadian rhythms impact information sharing on social media. Affective Science, 5 (4), 389-404. doi: 10.1007/s42761-024-00254-0
2024
Conference Publication
Media Naturalness, Emotion Contagion, and Creativity: A Laboratory Experiment Among Dyads
Saigot, Maylis, Gleasure, Rob, Constantiou, Ioanna and Blicher, Andreas (2024). Media Naturalness, Emotion Contagion, and Creativity: A Laboratory Experiment Among Dyads. NeuroIS Retreat 2023, Vienna, Austria, 30 May - 1 June 2023. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-58396-4_14
2024
Conference Publication
Unveiling Technorelief: Enhancing Neurodiverse Collaboration with Digital Capabilities
Saigot, Maylis (2024). Unveiling Technorelief: Enhancing Neurodiverse Collaboration with Digital Capabilities. 57th Hawaii International Conference on System Sciences, Waikiki, HI United States, 3 – 6 January 2024. Honolulu, HI United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2023.829
2023
Conference Publication
In or Out of Sync? A Psychophysiological Approach to Understanding Creative Collaboration in Online and In-Person Teams
Saigot, Maylis, Gleasure, Rob, Constantiou, Ioanna and Blicher, Andreas (2023). In or Out of Sync? A Psychophysiological Approach to Understanding Creative Collaboration in Online and In-Person Teams. 29th Annual Americas Conference on Information Systems, AMCIS 2023, Panama City, Panama, 10-12 August 2023. Atlanta, GA United States: Association for Information Systems.
2023
Conference Publication
Understanding the Affective Layer of Online Collaboration: Toward a Media Affectivity Theory
Saigot, Maylis, Gleasure, Rob and Constantiou, Ioanna (2023). Understanding the Affective Layer of Online Collaboration: Toward a Media Affectivity Theory. 83rd Annual Meeting of the Academy of Management, Boston, MA United States, 4-8 August 2023. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/amproc.2023.13214abstract
2022
Conference Publication
Design for Meaningful Work Experiences: A Holistic Approach to Human-Work Interaction Design
Saigot, Maylis (2022). Design for Meaningful Work Experiences: A Holistic Approach to Human-Work Interaction Design. 24th International Conference on Human-Computer Interaction HCII 2022, Online, 26 June – 1 July 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-17615-9_8
2022
Conference Publication
Leveraging Affective Friction to Improve Online Creative Collaboration: An Experimental Design
Saigot, Maylis (2022). Leveraging Affective Friction to Improve Online Creative Collaboration: An Experimental Design. 14th Annual NeuroIS Retreat Conference, Vienna, Austria, 14-16 June 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-13064-9_25
Supervision
Availability
- Dr Maylis Saigot is:
- Available for supervision
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Available projects
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Investigating Media Affectivity and UI Design in Digital Collaboration
This project examines how digital technologies, including video conferencing tools and collaborative platforms, influence emotional dynamics and team performance through their user interfaces (UI). Using lab experiments, the student will explore how affective cues (e.g., facial expressions, tone of voice) and specific UI design elements (e.g., layout, feedback mechanisms) impact communication, mood regulation, and task engagement in digital environments. The project aims to identify how UI design can enhance affective communication and optimize collaboration in digital teams. Ideal candidates will have experience in experimental design, human-computer interaction, and/or UI/UX design.
Students may propose related research projects.
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Managing Datastress in Non-Data Job Roles
This project explores datastress, the cognitive and emotional burden experienced by workers who handle data but do not have data-specific roles. The student will have the opportunity to choose a context of interest (e.g., healthcare, crisis management, public administration) to investigate how data-related tasks, such as data entry, analysis, and decision-making, impact psychological well-being and productivity. Possible methods include case studies, field experiments, or lab experiments to develop strategies for alleviating datastress in these environments. Ideal candidates will have an interest in workplace stress, data management, and applied psychological research.
Students may propose related research projects.
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Exploring Technorelief for Neurodiverse Populations in Digital Contexts
This project investigates how digital technologies provide technorelief for neurodivergent individuals, helping them manage sensory, cognitive, or social stress. The student can choose a context of interest, such as education, healthcare, or social media, to explore how digital tools alleviate stress in neurodiverse populations. Methods can include case studies, qualitative interviews, surveys, lab experiments, and social media analysis, with a preference for mixed methods. This project may contribute to the development of digital tools that enhance accessibility and reduce stress for neurodiverse individuals. Ideal candidates should have an interest in neurodiversity, digital technologies, and mixed-method research. Possibility to explore UX/UI opportunities.
Students may propose related research projects.
Media
Enquiries
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