Physiologic System Interfaces Using fNIR with Tactile Feedback for Improving Operator Effectiveness
| Autor: | Benjamin A. Darling, Evan Rapoport, Erin M. Nishimura, Traci H. Downs, Dennis R. Proffitt, J. Hunter Downs |
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| Rok vydání: | 2007 |
| Předmět: |
Modality (human–computer interaction)
Computer science business.industry Task (project management) Visual processing Operator (computer programming) Interference (communication) Human–computer interaction Computer vision Artificial intelligence System interface Cognitive workload business Communication channel |
| Zdroj: | Foundations of Augmented Cognition ISBN: 9783540732150 HCI (16) |
| DOI: | 10.1007/978-3-540-73216-7_36 |
| Popis: | This paper explores the validation of tactile mechanisms as an effective means of communications for integration into a physiologic system interface (PSI). Tactile communications can offer a channel that only minimally interferes with a primary or concurrent task. The PSI will use functional brain imaging techniques, specifically functional near-infrared imaging (fNIR), to determine cognitive workload in language and visual processing areas of the brain. The resulting closed-loop system will thus have the capability of providing the operator with necessary information by using the modality most available to the user, thus enabling effective multi-tasking and minimal task interference. |
| Databáze: | OpenAIRE |
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