期刊
ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION
卷 21, 期 6, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2687926
关键词
Brain-computer interfaces; physiological computing; implicit interfaces
资金
- Google Inc.
- NSF [IIS-1065154, IIS 1218170, 1136996]
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1065154] Funding Source: National Science Foundation
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [1136996] Funding Source: National Science Foundation
A growing body of recent work has shown the feasibility of brain and body sensors as input to interactive systems. However, the interaction techniques and design decisions for their effective use are not well defined. We present a conceptual framework for considering implicit input from the brain, along with design principles and patterns we have developed from our work. We also describe a series of controlled, offline studies that lay the foundation for our work with functional near-infrared spectroscopy (fNIRS) neuroimaging, as well as our real-time platform that serves as a testbed for exploring brain-based adaptive interaction techniques. Finally, we present case studies illustrating the principles and patterns for effective use of brain data in human-computer interaction. We focus on signals coming from the brain, but these principles apply broadly to other sensor data and in domains such as aviation, education, medicine, driving, and anything involving multitasking or varying cognitive workload.
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