Phylter: A System for Modulating Notifications in Wearables Using Physiological Sensing

[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.