All Outputs (5)

When High Mental Workload is Good and Low Mental Workload is Bad (2023)
Presentation / Conference Contribution
Shaban, J., Roy, M., Stephens-Marsh, M., Wilson, M. L., & Sharples, S. (2023, September). When High Mental Workload is Good and Low Mental Workload is Bad. Paper presented at The Future of Cognitive Personal Informatics, Athens, Greece and online

Brain-related wearables are now freely available on the market, and with even wrist-worn devices making estimates about cognitive activity, understanding cognitive personal informatics has become a pressing issue. Mental Workload is an emotionally ag... Read More about When High Mental Workload is Good and Low Mental Workload is Bad.

Designing Apps to Track Mental Workload (2023)
Presentation / Conference Contribution
Wilson, M., Shaban, J., Ma, X., Shalliker, M., Midha, S., & Sharples, S. (2023, September). Designing Apps to Track Mental Workload. Paper presented at The Future of Cognitive Personal Informatics, Athens, Greece and online

Brain-related wearables are now freely available on the market, and with even wrist-worn devices making estimates about cognitive activity, understanding Cognitive Personal Informatics (CogPI) has become a pressing issue. In this paper, we present a... Read More about Designing Apps to Track Mental Workload.

Designing for Reflection on our Daily Mental Workload (2023)
Presentation / Conference Contribution
Shaban, J., Wilson, M. L., & Sharples, S. (2023, April). Designing for Reflection on our Daily Mental Workload. Presented at CHI Workshop 2023: Integrating Individual and Social Contexts into Self-Reflection Technologies, Hamburg, Germany

This paper presents a research plan, at the outset of new doctoral research, designing for reflection on cognitive personal informatics and self-tracking of Mental Workload. The research will build upon the Mental Workload cycle, considering how peop... Read More about Designing for Reflection on our Daily Mental Workload.

CHI2023 Course on How to Peer Review for CHI (and Beyond) (2023)
Presentation / Conference Contribution
Wilson, M. L. (2023, April). CHI2023 Course on How to Peer Review for CHI (and Beyond). Presented at Conference on Human Factors in Computing Systems - Proceedings, Hamburg, Germany

A key challenge for people that are new to reviewing is pitching the review at the right level, and getting the tone and structure of a review right. This course aims to help participants understand a) the different expectations of different venues a... Read More about CHI2023 Course on How to Peer Review for CHI (and Beyond).

Benchmarking framework for machine learning classification from fNIRS data (2023)
Journal Article
Benerradi, J., Clos, J., Landowska, A., Valstar, M. F., & Wilson, M. L. (2023). Benchmarking framework for machine learning classification from fNIRS data. Frontiers in Neuroergonomics, 4, Article 994969. https://doi.org/10.3389/fnrgo.2023.994969

Background: While efforts to establish best practices with functional near infrared spectroscopy (fNIRS) signal processing have been published, there are still no community standards for applying machine learning to fNIRS data. Moreover, the lack of... Read More about Benchmarking framework for machine learning classification from fNIRS data.