research-article

Using Multimodal Wearable Technology to Detect Conflict among Couples

Authors:

Shrikanth S. Narayanan,

Gayla MargolinAuthors Info & Claims

Computer, Volume 50, Issue 3

Pages 50 - 59

https://doi.org/10.1109/MC.2017.83

Published: 01 March 2017 Publication History

Abstract

By monitoring human behavior unobtrusively, mobile sensing technologies have the potential to improve our daily lives. Initial results from a field study demonstrate that such passive technologies can detect a complex psychological state in an uncontrolled, real-life environment. In the web extra at https://youtu.be/n8Ap3Z44ojQ, guest editor Katarzyna Wac interviews authors Adela Timmons and Theodora Chaspari, quality-of-life technology researchers at the University of Southern California.

References

[1]

S. Kim, F. Valente, and A. Vinciarelli, “ Automatic Detection of Conflict in Spoken Conversations: Ratings and Analysis of Broadcast Political Debates,” in Proc. IEEE Int'l Conf. Acoustic, Speech, and Signal Processing (ICASSP 12), 2012, pp. 5089–5092

Crossref

Google Scholar

[2]

H. Hung and G. Englebienne, “ Systematic Evaluation of Social Behavior Modeling with a Single Accelerometer,” in Proc. ACM Int'l Joint Conf. Pervasive and Ubiquitous Computing (UbiComp 13), 2013, pp. 127–130.

Google Scholar

[3]

Y. Lee, “ SocioPhone: Everyday Face-To-Face Interaction Monitoring Platform Using Multi-phone Sensor Fusion,” in Proc. Int'l Conf. Mobile Systems, Applications, and Services (MobiSys 13), 2013, pp. 375–388.

Google Scholar

Cited By

View all

Chianella RMandolfo MLolatto RPillan M(2021)Designing for Self-awareness: Evidence-Based Explorations of Multimodal Stress-Tracking WearablesHuman-Computer Interaction. Interaction Techniques and Novel Applications10.1007/978-3-030-78465-2_27(357-371)Online publication date: 24-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-78465-2_27
Bari RRahman MSaleheen NParsons MBuder EKumar S(2020)Automated Detection of Stressful Conversations Using Wearable Physiological and Inertial SensorsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34322104:4(1-23)Online publication date: 18-Dec-2020
https://dl.acm.org/doi/10.1145/3432210
Boateng GTentori MWeibel NVan Laerhoven KAbowd GSalim F(2020)Towards a wearable system for assessing couples' dyadic interactions in daily lifeAdjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers10.1145/3410530.3414331(208-211)Online publication date: 10-Sep-2020
https://dl.acm.org/doi/10.1145/3410530.3414331
Show More Cited By

Recommendations

Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Falling is a serious threat to the elderly people. One severe fall can cause hazardous problems like bone fracture or may lead to some permanent disability or even death. Thus, it has become the need of the hour to continuously monitor the activities of ...
Multimodal Wearable Sensing for Fine-Grained Activity Recognition in Healthcare
State-of-the-art in-home activity recognition schemes with wearable devices are mostly capable of detecting coarse-grained activities (sitting, standing, walking, or lying down), but can't distinguish complex activities (sitting on the floor versus the ...
Towards Real-Time Multimodal Emotion Recognition among Couples
ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction

Researchers are interested in understanding the emotions of couples as it relates to relationship quality and dyadic management of chronic diseases. Currently, the process of assessing emotions is manual, time-intensive, and costly. Despite the ...

Comments

Information & Contributors

Information

Published In

Computer Volume 50, Issue 3

March 2017

74 pages

ISSN:0018-9162

Issue’s Table of Contents

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 March 2017

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 17 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chianella RMandolfo MLolatto RPillan M(2021)Designing for Self-awareness: Evidence-Based Explorations of Multimodal Stress-Tracking WearablesHuman-Computer Interaction. Interaction Techniques and Novel Applications10.1007/978-3-030-78465-2_27(357-371)Online publication date: 24-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-78465-2_27
Bari RRahman MSaleheen NParsons MBuder EKumar S(2020)Automated Detection of Stressful Conversations Using Wearable Physiological and Inertial SensorsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34322104:4(1-23)Online publication date: 18-Dec-2020
https://dl.acm.org/doi/10.1145/3432210
Boateng GTentori MWeibel NVan Laerhoven KAbowd GSalim F(2020)Towards a wearable system for assessing couples' dyadic interactions in daily lifeAdjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers10.1145/3410530.3414331(208-211)Online publication date: 10-Sep-2020
https://dl.acm.org/doi/10.1145/3410530.3414331
Boateng GTruong KHeylen DCzerwinski MBerthouze NChetouani MNakano M(2020)Towards Real-Time Multimodal Emotion Recognition among CouplesProceedings of the 2020 International Conference on Multimodal Interaction10.1145/3382507.3421154(748-753)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1145/3382507.3421154
Gupta KGujral AChaspari TTimmons AHan SKim YBarrett SSichko SMargolin G(2020)Sub-Population Specific Models of Couples’ ConflictACM Transactions on Internet Technology10.1145/337204520:2(1-20)Online publication date: 14-Mar-2020
https://dl.acm.org/doi/10.1145/3372045
Boateng GSanthanam PLüscher JScholz UKowatsch THarle RFarrahi KLane N(2019)VADLiteAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3346274(902-906)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341162.3346274
Qiu YMisu TBusso C(2019)Driving Anomaly Detection with Conditional Generative Adversarial Network using Physiological and CAN-Bus Data2019 International Conference on Multimodal Interaction10.1145/3340555.3353749(164-173)Online publication date: 14-Oct-2019
https://dl.acm.org/doi/10.1145/3340555.3353749
Boateng GSanthanam PLüscher JScholz UKowatsch TAgarwal SGreenstein BBalasubramanian AGollakota SZhang X(2019)Poster: DyMand -- An Open-Source Mobile and Wearable System for Assessing Couples' Dyadic Management of Chronic DiseasesThe 25th Annual International Conference on Mobile Computing and Networking10.1145/3300061.3343399(1-3)Online publication date: 5-Aug-2019
https://dl.acm.org/doi/10.1145/3300061.3343399
Qiu YMisu TBusso C(2019)Analysis of the Relationship Between Physiological Signals and Vehicle Maneuvers During a Naturalistic Driving Study2019 IEEE Intelligent Transportation Systems Conference (ITSC)10.1109/ITSC.2019.8917198(3230-3235)Online publication date: 27-Oct-2019
https://dl.acm.org/doi/10.1109/ITSC.2019.8917198
Gujral AChaspari TTimmons AKim YBarrett SMargolin GD'Mello SGeorgiou PScherer SProvost ESoleymani MWorsley M(2018)Population-specific Detection of Couples' Interpersonal Conflict using Multi-task LearningProceedings of the 20th ACM International Conference on Multimodal Interaction10.1145/3242969.3243007(229-233)Online publication date: 2-Oct-2018
https://dl.acm.org/doi/10.1145/3242969.3243007

Abstract

References

Cited By

Recommendations

Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns

Multimodal Wearable Sensing for Fine-Grained Activity Recognition in Healthcare

Towards Real-Time Multimodal Emotion Recognition among Couples

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations