Max L Wilson

schoolUniversity of Nottinghambar_chart#1329 Global Rank

Total Papers

HCI Rank

#1329

Research Areas

Years Active

Recent Publications

Hacking Flow: From Lived Practices to Innovation

In digital knowledge work, flow promises not just productivity; it offers a pathway to well-being. Yet despite decades of flow research in HCI, we know little about how to design digital interventions that support it. In this work, we foreground lived interventions — everyday practices workers already use to foster fl…

CHI '265th+ AuthorHonorable MentionSocial Platform Design & User Behavior +2

Flow on Social Media? Rarer Than You'd Think

Researchers often attribute social media’s appeal to its ability to elicit flow experiences of deep absorption and effortless engagement. Yet prolonged use has also been linked to distraction, fatigue, and lower mood. This paradox remains poorly understood, in part because prior studies rely on habitual or one-shot re…

CHI '25CorrespondingBrain-Computer Interface (BCI) & Neurofeedback +1

Exploring Flow in Real-World Knowledge Work Using Discrete cEEGrid Sensors

Flow, a state of deep task engagement, is associated with optimal experience and well-being, making its detection a prolific HCI research focus. While physiological sensors show promise for flow detection, most studies are lab-based. Furthermore, brain sensing during natural work remains unexplored due to the intrusiv…

CHI '253rd AuthorHonorable MentionGame UX & Player Behavior +1

Work Hard, Play Harder: Intense Games Enable Recovery from High Mental Workload Tasks

Playing games has been shown to be an effective method of post-work recovery. Previous research has shown that gameplay with high cognitive involvement is effective for recovery. This finding conflicts with models of mental workload (MWL), which suggest that people feel best when cycling between high and low MWL. To u…

CHI '222nd AuthorBrain-Computer Interface (BCI) & Neurofeedback +1

Lived Experiences of Mental Workload in Everyday Life

We can now buy consumer brain-computer interface devices to help us meditate and focus, but what are we aiming to achieve? Mental workload (MWL) is an established concept, and as a form of personal data could be useful for making positive life changes. However, MWL is typically only studied for isolated tasks to avoid…

CHI '193rd AuthorHonorable MentionBrain-Computer Interface (BCI) & Neurofeedback +1

From Director's Cut to User's Cut: to Watch a Brain-Controlled Film is to Edit it

Introducing interactivity to films has proven a longstanding and difficult challenge due to their narrative-driven, linear and theatre-based nature. Previous research has suggested that Brain-Computer Interfaces (BCI) may be a promising approach but also revealed a tension between being immersed in the film and thinki…

CHI '182nd AuthorBrain-Computer Interface (BCI) & Neurofeedback +1

Workload Alerts - Using Physiological Measures of Mental Workload to Provide Feedback during Tasks

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 InfraRed Spectroscopy to provide participants with feedback about their M…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/434?source=all