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All Outputs (38)

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.

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.

fNIRS and Neurocinematics (2018)
Presentation / Conference Contribution
Ramchurn, R., Maior, H. A., Wilson, M. L., Martindale, S., Benford, S., & Cai, M. (2018, October). fNIRS and Neurocinematics. Poster presented at fNIRS2018, Tokyo, Japan

Brain activity and mental workload associated with artistic practice (2018)
Presentation / Conference Contribution
Maior, H. A., Wilson, M. L., Locke, C., & Swann, D. (2018). Brain activity and mental workload associated with artistic practice.

We present the first stage of our on-going artist-driven BCI collaboration, where we equipped an artist with the brain scanning technique functional Near Infrared Spectroscopy (fNIRS) in order to record mental workload levels during her creative prac... Read More about Brain activity and mental workload associated with artistic practice.

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.

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.

Measuring mental workload in IIR user studies with fNIRS (2017)
Presentation / Conference Contribution
Wilson, M. L., Alsuraykh, N., & Maior, H. A. (2017). Measuring mental workload in IIR user studies with fNIRS.

Gathering neuro-physiological data during user studies, and analysing the continuous data they produce, typically involves making a tradeoff between detail and practical utility. is paper describes our long-term work-in-progress towards developing... Read More about Measuring mental workload in IIR user studies with fNIRS.

The Tetris model of resolving information needs within the information seeking process (2017)
Presentation / Conference Contribution
Wilson, M. L. (2017). The Tetris model of resolving information needs within the information seeking process.

Theoretical abstractions, of many different aspects of search, have played a crucial role in driving research into human information seeking and retrieval forward. From models of the Information Seeking Process, to how we perceive search systems, the... Read More about The Tetris model of resolving information needs within the information seeking process.

Search literacy: learning to search to learn (2016)
Presentation / Conference Contribution
Wilson, M. L., Ye, C., Twidale, M. B., Grasse, H., Rosenthal, J., & McKittrick, M. (2016). Search literacy: learning to search to learn.

People can often find themselves out of their depth when they face knowledge-based problems, such as faulty technology, or medical concerns. This can also happen in everyday domains that users are simply inexperienced with, like cooking. These are co... Read More about Search literacy: learning to search to learn.

Using fNIRS in usability testing: understanding the effect of web form layout on mental workload (2016)
Presentation / Conference Contribution
Lukanov, K. E., Maior, H. A., & Wilson, M. L. (2016). Using fNIRS in usability testing: understanding the effect of web form layout on mental workload.

Amongst the many tasks in our lives, we encounter web forms on a regular basis, whether they are mundane like registering for a website, or complex and important like tax returns. There are many aspects of Usability, but one concern for user interfac... Read More about Using fNIRS in usability testing: understanding the effect of web form layout on mental workload.

Active and passive utility of search interface features in different information seeking task stages (2016)
Presentation / Conference Contribution
Huurdeman, H. C., Wilson, M. L., & Kamps, J. (2016). Active and passive utility of search interface features in different information seeking task stages.

Models of information seeking, including Kuhlthau’s information Search Process model, describe fundamentally different macro-level stages. Current search systems usually do not provide support for these stages, but provide a static set of features pr... Read More about Active and passive utility of search interface features in different information seeking task stages.

Exploring opportunities to facilitate serendipity in search (2015)
Presentation / Conference Contribution
Rahman, M. A., & Wilson, M. L. (2015). Exploring opportunities to facilitate serendipity in search.

Serendipitously discovering new information can bring many benefits. Although we can design systems to highlight serendipitous information, serendipity cannot be easily orchestrated and is thus hard to study. In this paper, we deployed a working sear... Read More about Exploring opportunities to facilitate serendipity in search.

#Scanners: integrating physiology into cinematic experiences (2015)
Presentation / Conference Contribution
Pike, M., Ramchurn, R., & Wilson, M. L. (2015). #Scanners: integrating physiology into cinematic experiences.

In this paper we present #Scanners, a digital arts installation that aims to bridge the gap between digital arts and neuroscience. #Scanners is an experience in which an individual wears a wireless brain scanners whilst being presented media which is... Read More about #Scanners: integrating physiology into cinematic experiences.

Two-way Affect Loops in multimedia experiences (2015)
Presentation / Conference Contribution
Pike, M., Ramchurn, R., & Wilson, M. L. (2015). Two-way Affect Loops in multimedia experiences.

A users interaction with a film typically involves a One Way Affect (1WA), in which the film being consumed has an affect on the consumer. Recent advances in physiological monitoring technology however has facilitated the notion of a Two Way Affect L... Read More about Two-way Affect Loops in multimedia experiences.

Examining the reliability of using fNIRS in realistic HCI settings for spatial and verbal tasks (2015)
Presentation / Conference Contribution
Maior, H. A., Pike, M., Sharples, S., & Wilson, M. L. (2015). Examining the reliability of using fNIRS in realistic HCI settings for spatial and verbal tasks.

Recent efforts have shown that functional near-infrared spectroscopy (fNIRS) has potential value for brain sensing in HCI user studies. Research has shown that, although large head movement significantly affects fNIRS data, typical keyboard use, mous... Read More about Examining the reliability of using fNIRS in realistic HCI settings for spatial and verbal tasks.

A user defined taxonomy of factors that divide online information retrieval sessions (2014)
Presentation / Conference Contribution
Ye, C., & Wilson, M. L. (2014). A user defined taxonomy of factors that divide online information retrieval sessions.

Although research is increasingly interested in session-based retrieval, comparably little work has focused on how best to divide web histories into sessions. Most automated attempts to divide web histories into sessions have focused on dividing web... Read More about A user defined taxonomy of factors that divide online information retrieval sessions.

A data driven approach to mapping urban neighbourhoods (2014)
Presentation / Conference Contribution
Brindley, P., Goulding, J., & Wilson, M. L. (2014). A data driven approach to mapping urban neighbourhoods.

Neighbourhoods have been described by the UK Secretary of State for Communities and Local Government as the “building blocks of public service society”. Despite this, difficulties in data collection combined with the concept’s subjective nature have... Read More about A data driven approach to mapping urban neighbourhoods.

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks
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.