All Outputs (7)

Exploring the Impact of Verbal-Imagery Cognitive Style on Web Search Behaviour and Mental Workload (2024)
Conference Proceeding
Tang, H., Benerradi, J., Maior, H. A., Pike, M., Landowska, A., & Wilson, M. L. (2024). Exploring the Impact of Verbal-Imagery Cognitive Style on Web Search Behaviour and Mental Workload. . https://doi.org/10.1145/3627508.3638313

Cognitive style has been shown to influence users’ interaction with search interfaces. However, as a fundamental dimension of cognitive styles, the relationship between the Verbal-Imagery (VI) cognitive style dimension and search behaviour has not be... Read More about Exploring the Impact of Verbal-Imagery Cognitive Style on Web Search Behaviour and Mental Workload.

Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study (2024)
Journal Article
Landowska, A., Wilson, M. L., Craven, M. P., & Harrington, K. (2024). Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study. International Journal of Human-Computer Studies, 184, Article 103206. https://doi.org/10.1016/j.ijhcs.2023.103206

With the growing concern for the health of ageing populations, much research continues to look at the impact of cognitive training, particularly in relation to cognitive decline. We sought to use novel techniques, including augmented reality and port... Read More about Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study.

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.

Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops (2022)
Journal Article
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. (2022). Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops. JMIR Serious Games, 10(2), Article e32489. https://doi.org/10.2196/32489

Background: Cognitive training and assessment technologies offer the promise of dementia risk reduction and a more timely diagnosis of dementia, respectively. Cognitive training games may help reduce the lifetime risk of dementia by helping to build... Read More about Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops.

Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia (2022)
Working Paper
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia

Background: Cognitive training and assessment technologies offer the promise of dementia risk reduction and more timely diagnosis of dementia respectively. Cognitive training technologies may help to reduce the lifetime risk of dementia by helping... Read More about Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia.

Exploring User Opinion on the Benefits of Cognitive Games Through an Online Walkthrough and Interview (2021)
Book Chapter
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. (2021). Exploring User Opinion on the Benefits of Cognitive Games Through an Online Walkthrough and Interview. In Human Aspects of IT for the Aged Population. Technology Design and Acceptance (21-32). Switzerland: Springer Nature. https://doi.org/10.1007/978-3-030-78108-8_2

Online walkthrough interviews were conducted via internet video-calling, which formed part of wider Patient and Public Involvement activities investigating perceptions of digital and gamified cognitive assessment and training/coaching applications. P... Read More about Exploring User Opinion on the Benefits of Cognitive Games Through an Online Walkthrough and Interview.

Exploring User Expectations of Brain-Training and Coaching Technologies for Cognitive Health (2020)
Book Chapter
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. (2020). Exploring User Expectations of Brain-Training and Coaching Technologies for Cognitive Health. . Springer Verlag. https://doi.org/10.1007/978-3-030-49065-2_4

User-centred evaluation of brain-training and coaching applications is discussed, with a focus on dementia. A brief outline of outcomes measures used for cognitive training is presented. The design of a set of four patient and public involvement work... Read More about Exploring User Expectations of Brain-Training and Coaching Technologies for Cognitive Health.