Measuring Mental Workload Variations in Office Work Tasks using fNirs
Bibliographic Data
| ID | 21642886 |
|---|---|
| Authors | Serena Midha (University of Nottingham, corresponding author), Horia A Maior (0000-0002-0358-1555, University of Lincoln), Max L Wilson (0000-0002-3515-6633, University of Nottingham), Steve Sharple (0000-0003-0288-915X, University of Nottingham), Sarah Sharples |
| Year | 2021 |
| Volume | 147 |
| Pages | 102580 |
| Publication date | 2021-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Human-Computer Studies (JOURNAL) |
| Journal identifiers | ISSN: 1071-5819 • E-ISSN: 1095-9300 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijhcs.2020.102580 |
| OpenAlex | W3113890127 |
| Language | EN |
| Citations received | 6 |
| References cited | 49 |
The motivation behind using physiological measures to estimate cognitive activity is typically to build technology that can help people to understand themselves and their work, or indeed for systems to do so and adapt. While functional Near Infrared Spectroscopy (fNIRS) has been shown to reliably reflect manipulations of mental workload in different work tasks, we still need to establish whether fNIRS can differentiate variety within common office-like tasks in order to broaden our understanding of the factors involved in tracking them in real working conditions. 20 healthy participants (8 females, 12 males), whose work included office-like tasks, took part in a user study that investigated a) the sensitivity of fNIRS for measuring mental workload variations in representations of everyday reading and writing tasks, and b) how representations of natural interruptions are reflected in the data. Results supported fNIRS measuring PFC activation in differentiating between workload levels for reading tasks but not writing tasks in terms of increased oxygenated haemoglobin (O2Hb) and decreased deoxygenated haemoglobin (HHb), for harder conditions compared to easier conditions. There was considerable support for fNIRS in detecting changes in workload levels due to interruptions. Variations in workload levels during the interruptions could be understood in relation to spare capacity models. These findings may guide future work into sustained monitoring of cognitive activity in real-world settings
Cognition · Cognitive psychology · Functional near-infrared spectroscopy · Workload · Computer Science · Engineering · Healthcare Technology and Patient Monitoring · Neuroscience · Non-Invasive Vital Sign Monitoring · Optical Imaging and Spectroscopy Techniques · Psychology
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| Citations per year | 3 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |