Designing Brain-Computer Interfaces for Attention-Aware Systems
Open accessAbstract
Brain-computer interfaces (BCIs) hold great promise for improving information delivery and preserving user attention, but this promise has not yet translated to practical use. A prototype BCI that optimizes email notifications in noisy, complex environments, CARSON combines multiple measures from the brain to predict both cognitive workload and message relevancy to determine the optimum time to interrupt the user.
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Touch input, especially finger trajectories, were used to measure cognitive workload.
“Similarly, touch input [39] -especially finger trajectories [173] -were used to measure cognitive workload.”
From A Survey on Measuring Cognitive Workload in Human-Computer Interaction (2023) · cites this paper as [173]
The citation [173] is attached specifically to “finger trajectories.” In “Training CARSON to Read the Brain” and Figure 3 (page not provided), the paper instead describes predicting cognitive workload from fNIRS brain-sensing signals, not finger trajectories or touch input. (LLM, conf=0.85)
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Cites
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Flagged first, then by citations
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Cited by
Sorted by citations
A Survey on Measuring Cognitive Workload in Human-Computer Interaction
Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. W. (2023) · ACM Computing Surveys · doi:10.1145/3582272 · Cited by 304 · see citing works
“…52, 67, 70, 83, 86, 87, 100, 105, 106, 124, 130, 135, 138, 148, 150, 184, 197, 198, 207, 235, 243, 244, 268] EEG ERPs [23, 26, 59, 81, 184, 214, 227, 243] Hemodynamic Response (fNIRS) [3, 5, 32, 80, 96, 97, 104, 159, 161, 191, 192, 196, 221–223, 227, 261, 262] Electromagnetic Changes (fMRI) [220]”
Liu, R., Walker, E., Friedman, L., Arrington, C. M., & Solovey, E. (2020) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-020-00325-z · Cited by 21 · see citing works
Can You Hazard a Guess?: Evaluating the Effect of Augmented Reality Cues on Driver Hazard Prediction
Goodge, T. A., Pollick, F. E., & Brewster, S. A. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642300 · Cited by 9 · see citing works
The effects of cues on task interruption recovery in a concurrent multitasking environment
Chen, Y., Zhang, C., Fang, W., & Ma, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-09358-4 · Cited by 3 · see citing works
Stress Mindset Matters: Rethinking Mental Stress Detection with Multimodal Wearable Sensors
Meegahapola, L., Constantinides, M., Radivojević, Z., Li, H., Eggleston, M. S., & Quercia, D. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791340 · Cited by 2 · see citing works
An Implicit Dialogue Injection System for Interruption Management
Shibata, T., Борисенко, А. В., Hakone, A., August, T., Deligiannidis, L., Yu, C.-H., Russell, M., Olwal, A., & Jacob, R. J. K. (2019) · Augmented Human International Conference · doi:10.1145/3311823.3311875 · Cited by 2 · see citing works
Self-citationHowell-Munson, A., Unal, D. S., Walker, E., Arrington, C. M., & Solovey, E. (2021) · Cited by 2 · see citing works
Real-Life Guards for Human-Centered Systems
Serbedzija, N. B. (2017) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3056540.3076210
- Authors
- Peck, E. M., Carlin, E., & Jacob, R.
- Affiliations
- Tufts University (US)
- ORCID
- Peck, Evan M.
- Venue
- Computer
- Published
- 2015-10
- Volume
- 48
- Issue
- 10
- Pages
- 34-42
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W1902277873
- Cited by
- 8
- References
- 7
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2017: 1
- FWCI
- 0.20
- Type
- journal article
- Language
- en
- Open access
- Locations
- Computer (publishedVersion)
- Bucknell Digital Commons (Bucknell University) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- brain-computer interface, attention, email notifications, mental workload, message relevance, Carson
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