Advances in Physiological Computing
Fairclough, Stephen H.
Advances in Physiological Computing [electronic resource] / edited by Stephen H. Fairclough, Kiel Gilleade. - XV, 238 p. 33 illus. online resource. - Human–Computer Interaction Series, 1571-5035 . - Human–Computer Interaction Series, .
Introduction -- Meaningful Interaction with Physiological Computing -- Engineering Issues in Physiological Computing -- Eye Tracking and Eye-Based Human-Computer Interaction -- Towards BCI-based Implicit Control in HCI -- Bio cybernetic Adaptation as Biofeedback Training -- Using fNIRS to Measure Mental Workload in the Real World -- Psychophysiological Feedback for Adaptive HRI -- The Drive to Explore -- The Vitality Bracelet -- Capturing HDM for Assisted Memory Recall.
In the domain of physiological computing, human physiology is directly monitored and used as input to a technological system. Signals from the brain and body can be used to infer a user’s intentions and psychological state which enables a physiological computing system to respond and adapt in an appropriate fashion. A computer game could modify its level of difficulty according to the player's motivation or a word processor could disable incoming e-mail notifications when the user is concentrating. Physiological computing is an exciting area of research which provides a speculative vision of how we may interact with technology in the future. The field is inherently interdisciplinary and encapsulates a significant breadth of knowledge from neuroscience to engineering. Advances in Physiological Computing provides a broad overview across this emerging area of research and emphasizes the common ground between the different disciplines in the field.
9781447163923
10.1007/978-1-4471-6392-3 doi
Computer science.
Biometrics.
Psychology, clinical.
Applied psychology.
Psychological tests and testing.
Computer Science.
User Interfaces and Human Computer Interaction.
Biological Psychology.
Biometrics.
Computer Applications.
Psychological Methods/Evaluation.
Health Psychology.
QA76.9.U83 QA76.9.H85
005.437 4.019
Advances in Physiological Computing [electronic resource] / edited by Stephen H. Fairclough, Kiel Gilleade. - XV, 238 p. 33 illus. online resource. - Human–Computer Interaction Series, 1571-5035 . - Human–Computer Interaction Series, .
Introduction -- Meaningful Interaction with Physiological Computing -- Engineering Issues in Physiological Computing -- Eye Tracking and Eye-Based Human-Computer Interaction -- Towards BCI-based Implicit Control in HCI -- Bio cybernetic Adaptation as Biofeedback Training -- Using fNIRS to Measure Mental Workload in the Real World -- Psychophysiological Feedback for Adaptive HRI -- The Drive to Explore -- The Vitality Bracelet -- Capturing HDM for Assisted Memory Recall.
In the domain of physiological computing, human physiology is directly monitored and used as input to a technological system. Signals from the brain and body can be used to infer a user’s intentions and psychological state which enables a physiological computing system to respond and adapt in an appropriate fashion. A computer game could modify its level of difficulty according to the player's motivation or a word processor could disable incoming e-mail notifications when the user is concentrating. Physiological computing is an exciting area of research which provides a speculative vision of how we may interact with technology in the future. The field is inherently interdisciplinary and encapsulates a significant breadth of knowledge from neuroscience to engineering. Advances in Physiological Computing provides a broad overview across this emerging area of research and emphasizes the common ground between the different disciplines in the field.
9781447163923
10.1007/978-1-4471-6392-3 doi
Computer science.
Biometrics.
Psychology, clinical.
Applied psychology.
Psychological tests and testing.
Computer Science.
User Interfaces and Human Computer Interaction.
Biological Psychology.
Biometrics.
Computer Applications.
Psychological Methods/Evaluation.
Health Psychology.
QA76.9.U83 QA76.9.H85
005.437 4.019