Phylter: A System for Modulating Notifications in Wearables Using Physiological Sensing
暂无分享,去创建一个
Daniel Afergan | Robert J. K. Jacob | Samuel W. Hincks | Tomoki Shibata | R. Jacob | Daniel Afergan | T. Shibata
[1] Dylan D. Schmorrow,et al. Foundations of Augmented Cognition , 2013, Lecture Notes in Computer Science.
[2] Daniel Afergan,et al. Dynamic difficulty using brain metrics of workload , 2014, CHI.
[3] Brian P. Bailey,et al. Effects of intelligent notification management on users and their tasks , 2008, CHI.
[4] Hellmuth Obrig,et al. A wearable multi-channel fNIRS system for brain imaging in freely moving subjects , 2014, NeuroImage.
[5] Daniel Afergan,et al. Building implicit interfaces for wearable computers with physiological inputs: zero shutter camera and phylter , 2014, UIST'14 Adjunct.
[6] Donald A. Norman,et al. User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .
[7] Valencia Joyner Koomson,et al. A CMOS Sensor for Measurement of Cerebral Optical Coefficients Using Non-Invasive Frequency Domain Near Infrared Spectroscopy , 2013, IEEE Sensors Journal.
[8] Daniel Afergan,et al. Brain-based target expansion , 2014, UIST.
[9] Peter A Hancock,et al. State of science: mental workload in ergonomics , 2015, Ergonomics.
[10] Sriram Subramanian,et al. Talking about tactile experiences , 2013, CHI.
[11] Robert J. K. Jacob,et al. Distinguishing Difficulty Levels with Non-invasive Brain Activity Measurements , 2009, INTERACT.
[12] Nadya Belov,et al. Augmented Cognition for Tactical Tomahawk Weapon Control System Operators , 2006 .
[13] Robert J. K. Jacob,et al. Brain measurement for usability testing and adaptive interfaces: an example of uncovering syntactic workload with functional near infrared spectroscopy , 2009, CHI.
[14] Mark W. Scerbo,et al. Effects of a Psychophysiological System for Adaptive Automation on Performance, Workload, and the Event-Related Potential P300 Component , 2003, Hum. Factors.
[15] Kathryn M. McMillan,et al. N‐back working memory paradigm: A meta‐analysis of normative functional neuroimaging studies , 2005, Human brain mapping.
[16] Thomas Jackson,et al. The cost of email interruption , 2001, Journal of Systems and Information Technology.
[17] Robert J. K. Jacob,et al. Designing a passive brain computer interface using real time classification of functional near-infrared spectroscopy , 2013, Int. J. Auton. Adapt. Commun. Syst..
[18] Catherine M Hesford,et al. The use of portable NIRS to measure muscle oxygenation and haemodynamics during a repeated sprint running test. , 2013, Advances in experimental medicine and biology.
[19] Brian P. Bailey,et al. Categories & Subject Descriptors: H.5.2 [Information , 2022 .
[20] Daniel Afergan,et al. Designing Implicit Interfaces for Physiological Computing , 2015, ACM Trans. Comput. Hum. Interact..
[21] Robert J. K. Jacob,et al. Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines , 2009, UIST '09.
[22] Brian P. Bailey,et al. Understanding changes in mental workload during execution of goal-directed tasks and its application for interruption management , 2008, TCHI.
[23] Matthias Scheutz,et al. Brainput: enhancing interactive systems with streaming fnirs brain input , 2012, CHI.
[24] Robert J. K. Jacob,et al. From Brain Signals to Adaptive Interfaces: Using fNIRS in HCI , 2010, Brain-Computer Interfaces.
[25] Roel Vertegaal,et al. Using mental load for managing interruptions in physiologically attentive user interfaces , 2004, CHI EA '04.
[26] Anthony G. Constantinides,et al. Data Fusion for Modern Engineering Applications: An Overview , 2005, ICANN.
[27] A. Villringer,et al. Non-invasive optical spectroscopy and imaging of human brain function , 1997, Trends in Neurosciences.
[28] Christopher D. Wickens,et al. Multiple Resources and Mental Workload , 2008, Hum. Factors.
[29] Rafael A. Calvo,et al. Hybrid Fusion Approach for Detecting Affects from Multichannel Physiology , 2011, ACII.
[30] Roy Stripling,et al. Automated SAF Adaptation Tool (ASAT) , 2007, HCI.
[31] Eric Horvitz,et al. Learning and reasoning about interruption , 2003, ICMI '03.
[32] M. D’Esposito. Working memory. , 2008, Handbook of clinical neurology.
[33] David A. Boas,et al. A Quantitative Comparison of Simultaneous BOLD fMRI and NIRS Recordings during Functional Brain Activation , 2002, NeuroImage.
[34] Matthew Pike,et al. Examining the Reliability of Using fNIRS in Realistic HCI Settings for Spatial and Verbal Tasks , 2015, CHI.
[35] Mary Czerwinski,et al. Effects of instant messaging interruptions on computing tasks , 2000, CHI Extended Abstracts.
[36] Jeffrey Nichols,et al. An infrastructure for extending applications' user experiences across multiple personal devices , 2008, UIST '08.
[37] Daniel Afergan,et al. Investigation of fNIRS brain sensing as input to information filtering systems , 2013, AH.
[38] Brian P. Bailey,et al. On the need for attention-aware systems: Measuring effects of interruption on task performance, error rate, and affective state , 2006, Comput. Hum. Behav..
[39] Edward Cutrell,et al. BCI for passive input in HCI , 2007 .
[40] Thorsten O. Zander,et al. Utilizing Secondary Input from Passive Brain-Computer Interfaces for Enhancing Human-Machine Interaction , 2009, HCI.
[41] D. Norman,et al. Psychological Issues in Support of Multiple Activities , 1986 .
[42] Daniel Afergan,et al. Using fNIRS to Measure Mental Workload in the Real World , 2014 .
[43] A. Baddeley,et al. The multi-component model of working memory: Explorations in experimental cognitive psychology , 2006, Neuroscience.