Brain-based target expansion
Abstract
The bubble cursor is a promising cursor expansion technique, improving a user's movement time and accuracy in pointing tasks. We introduce a brain-based target expansion system, which improves the efficacy of bubble cursor by increasing the expansion of high importance targets at the optimal time based on brain measurements correlated to a particular type of multitasking. We demonstrate through controlled experiments that brain-based target expansion can deliver a graded and continuous level of assistance to a user according to their cognitive state, thereby improving task and speed-accuracy metrics, even without explicit visual changes to the system. Such an adaptation is ideal for use in complex systems to steer users toward higher priority goals during times of increased demand.
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Studies in HCI have successfully used fNIRS to measure and adapt to cognitive workload in real-time.
“Studies in HCI have successfully used fNIRS to measure and adapt to cognitive workload in real-time [44,1,2,55].”
From Learn Piano with BACh: An Adaptive Learning Interface that Adjusts Task Difficulty Based on Brain State (2016) · cites this paper as [2]
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References 56 · Cited by 19
Research works printed but not linked: 2
- [7]7. target distributions. Proceedings Working Conference on Advanced Visual Interfaces (2008).
- [12]12. Cutrell, E., and Tan, D. BCI for passive input in HCI. In Proc. CHI 2008 , ACM Press (2008).
- Authors
- Afergan, D., Shibata, T., Hincks, S. W., Peck, E. M., Yuksel, B. F., Chang, R., & Jacob, R. J. K.
- Affiliations
- Tufts University (US)
- Venue
- Proceedings of the 27th annual ACM symposium on User interface software and technology
- Publisher
- ACM
- Published
- 2014-10-05
- Pages
- 583-593
- OpenAlex
- W2140329470
- Cited by
- 19
- References
- 56
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 3 · 2018: 1 · 2016: 2 · 2015: 5 · 2014: 1
- FWCI
- 2.06
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Symposium on User Interface Software and Technology (UIST) (publishedVersion)
- Funders
- Division of Information and Intelligent Systems (IIS-1065154, IIS-1218170)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- brain-computer interface, cognitive states, multitasking, adaptive assistance, pointing task, speed-accuracy trade-off
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