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  • Harnessing digital phenotyping to deliver real-time interventional bio-feedback

    Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019 http://doi.acm.org/10.1145/3341162.3344838

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Harnessing digital phenotyping to deliver real-time interventional bio-feedback

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Harnessing digital phenotyping to deliver real-time interventional bio-feedback. / Woodward, Kieran; Kanjo, Eiman; Umair, Muhammad et al.
UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York: ACM, 2019. p. 1206-1209.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Woodward, K, Kanjo, E, Umair, M & Sas, C 2019, Harnessing digital phenotyping to deliver real-time interventional bio-feedback. in UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. ACM, New York, pp. 1206-1209. https://doi.org/10.1145/3341162.3344838

APA

Woodward, K., Kanjo, E., Umair, M., & Sas, C. (2019). Harnessing digital phenotyping to deliver real-time interventional bio-feedback. In UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 1206-1209). ACM. https://doi.org/10.1145/3341162.3344838

Vancouver

Woodward K, Kanjo E, Umair M, Sas C. Harnessing digital phenotyping to deliver real-time interventional bio-feedback. In UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York: ACM. 2019. p. 1206-1209 doi: 10.1145/3341162.3344838

Author

Woodward, Kieran ; Kanjo, Eiman ; Umair, Muhammad et al. / Harnessing digital phenotyping to deliver real-time interventional bio-feedback. UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York : ACM, 2019. pp. 1206-1209

Bibtex

@inproceedings{3cec731085004e6d8c6b5b1895afb051,
title = "Harnessing digital phenotyping to deliver real-time interventional bio-feedback",
abstract = "With the decreasing cost and increasing capability of sensor and mobile technology along with the proliferation of data from social media, ambient environment and other sources, new concepts for digital prognostic and technological quantification of wellbeing are emerging. These concepts are referred to as Digital Phenotyping. One of the main challenges facing these technologies development is connecting how to design an easy to use and personalized devices which benefits from interventional feedback by leveraging on-device processing in real-time. Tangible interfaces designed for wellbeing possess the capabilities to reduce anxiety or manage panic attacks, thus improving the quality of life of the general population and vulnerable members of society. Real-time Bio-feedback presents new opportunities in Artificial Intelligence (AI) with the possibility for mental wellbeing to be inferred automatically allowing interventional feedback to be automatically applied and for the feedback to be individually personalised. This research explores future directions for Bio-feedback including the opportunity to fuse multiple AI enabled feedback mechanisms that can then be utilised collectively or individually.",
author = "Kieran Woodward and Eiman Kanjo and Muhammad Umair and Corina Sas",
note = "{\textcopyright} ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019 http://doi.acm.org/10.1145/3341162.3344838",
year = "2019",
month = sep,
day = "9",
doi = "10.1145/3341162.3344838",
language = "English",
isbn = "9781450368698",
pages = "1206--1209",
booktitle = "UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Harnessing digital phenotyping to deliver real-time interventional bio-feedback

AU - Woodward, Kieran

AU - Kanjo, Eiman

AU - Umair, Muhammad

AU - Sas, Corina

N1 - © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019 http://doi.acm.org/10.1145/3341162.3344838

PY - 2019/9/9

Y1 - 2019/9/9

N2 - With the decreasing cost and increasing capability of sensor and mobile technology along with the proliferation of data from social media, ambient environment and other sources, new concepts for digital prognostic and technological quantification of wellbeing are emerging. These concepts are referred to as Digital Phenotyping. One of the main challenges facing these technologies development is connecting how to design an easy to use and personalized devices which benefits from interventional feedback by leveraging on-device processing in real-time. Tangible interfaces designed for wellbeing possess the capabilities to reduce anxiety or manage panic attacks, thus improving the quality of life of the general population and vulnerable members of society. Real-time Bio-feedback presents new opportunities in Artificial Intelligence (AI) with the possibility for mental wellbeing to be inferred automatically allowing interventional feedback to be automatically applied and for the feedback to be individually personalised. This research explores future directions for Bio-feedback including the opportunity to fuse multiple AI enabled feedback mechanisms that can then be utilised collectively or individually.

AB - With the decreasing cost and increasing capability of sensor and mobile technology along with the proliferation of data from social media, ambient environment and other sources, new concepts for digital prognostic and technological quantification of wellbeing are emerging. These concepts are referred to as Digital Phenotyping. One of the main challenges facing these technologies development is connecting how to design an easy to use and personalized devices which benefits from interventional feedback by leveraging on-device processing in real-time. Tangible interfaces designed for wellbeing possess the capabilities to reduce anxiety or manage panic attacks, thus improving the quality of life of the general population and vulnerable members of society. Real-time Bio-feedback presents new opportunities in Artificial Intelligence (AI) with the possibility for mental wellbeing to be inferred automatically allowing interventional feedback to be automatically applied and for the feedback to be individually personalised. This research explores future directions for Bio-feedback including the opportunity to fuse multiple AI enabled feedback mechanisms that can then be utilised collectively or individually.

U2 - 10.1145/3341162.3344838

DO - 10.1145/3341162.3344838

M3 - Conference contribution/Paper

SN - 9781450368698

SP - 1206

EP - 1209

BT - UbiComp/ISWC '19 Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers

PB - ACM

CY - New York

ER -