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Introduction to the Special Issue on Physiological Computing for Human-Computer Interaction

Published: 14 January 2015 Publication History

Abstract

Physiological data in its different dimensions—bioelectrical, biomechanical, biochemical, or biophysical—and collected through existing sensors or specialized biomedical devices, image capture, or other sources is pushing the boundaries of physiological computing for human-computer interaction (HCI). Although physiological computing shows the potential to enhance the way in which people interact with digital content, systems remain challenging to design and build. The aim of this special issue is to present outstanding work related to use of physiological data in HCI, setting additional bases for next-generation computer interfaces and interaction experiences. Topics covered in this issue include methods and methodologies, human factors, the use of devices, and applications for supporting the development of emerging interfaces.

References

[1]
Christoph Amma and Tanja Schultz. 2013. Airwriting: Bringing text entry to wearable computers. XRDS: Crossroads, the ACM Magazine for Students 20, 2, 50--55.
[2]
Edwin Besterman and Richard Creese. 1979. Waller—pioneer of electrocardiography. British Heart Journal 41, 1, 61--64.
[3]
Bruce Denby, Tanja Schultz, Kiyoshi Honda, Thomas Hueber, Jim Gilbert, and Jon Brumberg. 2010. Silent speech interfaces. Speech Communication Journal 52, 4, 270--287.
[4]
Stephen Fairclough. 2009. Fundamentals of physiological computing. Interacting with Computers 21, 1--2, 133--145.
[5]
Bernhard Graimann, Gert Pfurtscheller, and Brendan Allison (Eds.). 2011. Brain Computer Interfaces. Frontiers Collection. Springer.
[6]
Abdelsalam Helal, Mounir Mokhtari, and Bessam Abdulrazak. 2008. The Engineering Handbook of Smart Technology for Aging, Disability, and Independence. Wiley-Interscience.
[7]
Hugh Herr. 2009. Exoskeletons and orthoses: Classification, design challenges and future directions. Journal of NeuroEngineering and Rehabilitation 6, 1, 21--30.
[8]
Paolo Petta, Catherine Pelachaud, and Roddy Cowie (Eds.). 2011. Emotion-Oriented Systems: The Humaine Handbook. Cognitive Technologies Series. Springer.
[9]
Akane Sano and Rosalind Picard. 2013. Stress recognition using wearable sensors and mobile phones. In Proceedings of the Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII). 671--676.
[10]
Scott Saponas, Desney Tan, Dan Morris, and Ravin Balakrishnan. 2008. Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, New York, NY, 515--524.
[11]
Hugo Silva, Ana Fred, and Raul Martins. 2014. Biosignals for everyone. IEEE Pervasive Computing 13, 4, 64--71.

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  1. Introduction to the Special Issue on Physiological Computing for Human-Computer Interaction

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    Published In

    cover image ACM Transactions on Computer-Human Interaction
    ACM Transactions on Computer-Human Interaction  Volume 21, Issue 6
    Special Issue on Physiological Computing for Human-Computer Interaction
    January 2015
    144 pages
    ISSN:1073-0516
    EISSN:1557-7325
    DOI:10.1145/2722827
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 14 January 2015
    Accepted: 01 November 2014
    Received: 01 November 2014
    Published in TOCHI Volume 21, Issue 6

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    Cited By

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    • (2021)DSP BasicsIntelligent Computing for Interactive System Design10.1145/3447404.3447412(105-139)Online publication date: 23-Feb-2021
    • (2020)From Biodata to SomadataProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376684(1-14)Online publication date: 21-Apr-2020
    • (2019)Affective effects of gamificationProceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3316782.3316783(1-10)Online publication date: 5-Jun-2019
    • (2019)Medical and health systemsThe Handbook of Multimodal-Multisensor Interfaces10.1145/3233795.3233808(423-476)Online publication date: 1-Jul-2019
    • (2018)sEMG-Based Drawing Trace Reconstruction: A Novel Hybrid Algorithm Fusing Gene Expression Programming into Kalman FilterSensors10.3390/s1810329618:10(3296)Online publication date: 30-Sep-2018
    • (2018)What Eye Movements and Facial Expressions Tell Us about User-Friendliness: Testing a Tool for Communicators and JournalistsSocial Media Use in Crisis and Risk Communication10.1108/978-1-78756-269-120181014(205-225)Online publication date: 13-Sep-2018
    • (2018)Towards gadget-free internet services: A roadmap of the Naked worldTelematics and Informatics10.1016/j.tele.2017.09.02035:1(82-92)Online publication date: Apr-2018
    • (2017)A Novel Hybrid Model for Drawing Trace Reconstruction from Multichannel Surface Electromyographic ActivityFrontiers in Neuroscience10.3389/fnins.2017.0006111Online publication date: 14-Feb-2017
    • (2016)Detection of Subconscious Face Recognition Using Consumer-Grade Brain-Computer InterfacesACM Transactions on Applied Perception (TAP)10.1145/295509714:1(1-20)Online publication date: 25-Aug-2016
    • (2015)Biosignals in human-computer interactionInteractions10.1145/285107223:1(76-79)Online publication date: 28-Dec-2015

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