Outputs (5)

Performance metrics outperform physiological indicators in robotic teleoperation workload assessment (2024)
Journal Article
Odoh, G., Landowska, A., Crowe, E. M., Benali, K., Cobb, S., Wilson, M. L., Maior, H. A., & Kucukyilmaz, A. (2024). Performance metrics outperform physiological indicators in robotic teleoperation workload assessment. Scientific Reports, 14(1), Article 30984. https://doi.org/10.1038/s41598-024-82112-4

Robotics holds the potential to streamline the execution of repetitive and dangerous tasks, which are difficult or impossible for a human operator. However, in complex scenarios, such as nuclear waste management or disaster response, full automation... Read More about Performance metrics outperform physiological indicators in robotic teleoperation workload assessment.

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks (2019)
Presentation / Conference Contribution
Benerradi, J., Maior, H. A., Marinescu, A., Clos, J., & Wilson, M. L. (2019, November). Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks. Presented at Halfway to the Future, Nottingham, UK

Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially more suitable (than e.g. EEG) for brain-based Human Computer Interaction (HCI). While some machine learning approaches have been used in prior HCI work, this paper... Read More about Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks.

Mental workload as personal data: designing a cognitive activity tracker (2018)
Presentation / Conference Contribution
Wilson, M. L., Sharon, N., Maior, H. A., Midha, S., Craven, M. P., & Sharples, S. (2018, April). Mental workload as personal data: designing a cognitive activity tracker. Presented at 3rd Symposium on Computing and Mental Health: Understanding, Engaging, and Delighting Users

Research continues to correlate physical signals with mental activity, as opposed to physical activity, with physiological sensors. Further, with the proliferation of wearable technology, it seems imminent that our smart watches can soon keep track o... Read More about Mental workload as personal data: designing a cognitive activity tracker.

Workload Alerts—Using Physiological Measures of Mental Workload to Provide Feedback During Tasks (2018)
Journal Article
Maior, H. A., Wilson, M. L., & Sharples, S. (2018). Workload Alerts—Using Physiological Measures of Mental Workload to Provide Feedback During Tasks. ACM Transactions on Computer-Human Interaction, 25(2), 1-30. https://doi.org/10.1145/3173380

Feedback is valuable for allowing us to improve on tasks. While retrospective feedback can help us improve for next time, feedback “in action” can allow us to improve the outcome of on-going tasks. In this paper, we use data from functional Near Infr... Read More about Workload Alerts—Using Physiological Measures of Mental Workload to Provide Feedback During Tasks.

How stress affects functional near-infrared spectroscopy (fNIRS) measurements of mental workload (2018)
Presentation / Conference Contribution
Alsuraykh, N. H., Maior, H. A., Wilson, M. L., Tennent, P., & Sharples, S. (2018, April). How stress affects functional near-infrared spectroscopy (fNIRS) measurements of mental workload. Presented at CHI 2018: ACM SIGCHI Conference on Human Factors in Computing Systems (Extended Abstracts)

Recent work has demonstrated that functional Near-Infrared Spectroscopy has the potential to measure changes in Mental Workload with increasing ecological validity. It is not clear, however, whether these measurements are affected by anxiety and stre... Read More about How stress affects functional near-infrared spectroscopy (fNIRS) measurements of mental workload.