Max L. Wilson (University of Nottingham): Brain-based HCI – What could brain data can tell us HCI

Please note non-standard date and time for this talk


This talk will describe a range of our projects, utilising functional Near Infrared Spectroscopy (fNIRS) in HCI. As a portable alternative that’s more tolerate of motion artefacts than EEG, fNIRS measures the amount of oxygen in the brain, as e.g. mental workload creates demand. As opposed to BCI (trying to control systems with our brain), we focus on brain-based HCI, asking what brain data can tell us about our software, our work, our habits, and ourselves. In particular, we are driven by the idea that brain data can become personal data in the future.

Speaker Bio:

Dr Max L. Wilson is an Associate Professor in the Mixed Reality Lab in Computer Science at the University of Nottingham.  His research focus is on evaluating Mental Workload in HCI contexts – as real-world as possible – primarily using functional Near Infrared Spectroscopy (fNIRS).  As a highly tolerant form of brain sensor, fNIRS is suitable for use in HCI research into user interface design, work tasks, and everyday experiences.  This work emerged from his prior research into the design and evaluation of complex user interfaces for information interfaces. Across these two research areas, Max has over 120 publications, including a Honourable Mention CHI2019 paper on a Brain-Controlled Movie – The MOMENT.

Event details

  • When: 25th October 2019 14:00 - 15:00
  • Where: Cole 1.33b
  • Series: School Seminar Series
  • Format: Seminar