StressTree: a metaphorical visualization for biofeedbackassisted stress management

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Abstract

In today's highly competitive environment, chronic stress is one of the main reasons for a health problem. To address this, biofeedback techniques have been used to assist in relaxation training and stress management. In this paper, we present 'StressTree,' a metaphorical visualization of heart rate variability (HRV) biofeedback system. StressTree aims to present HRV data in a more evocative, meaningful way in the context of stress management. The HRV biofeedback system consists of a heartbeat data acquisition unit, a data analysis unit, and a visualization unit. The feedback from interviews in the evaluation shows that StressTree could display different growth pattern during a stressful work or a relaxation training. The participants suggested that the biofeedback interaction through StressTree is explicit and engaging, and brings them a strong motivation to regulate their breathing pattern for a 'healthy-looking' tree.

Original languageEnglish
Title of host publicationDIS 2017 - Proceedings of the 2017 ACM Conference on Designing Interactive Systems, 10-14 June 2017, Edinburgh, United Kingdom
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages333-337
Number of pages5
ISBN (Print)978-1-4503-4922-2
DOIs
Publication statusPublished - 10 Jun 2017
Event12th ACM Conference on Designing Interactive Systems (DIS 2017) - Centre for Interaction Design, Edinburgh Napier University, Edinburgh, United Kingdom
Duration: 10 Jun 201714 Jun 2017
Conference number: 12
http://dis2017.org/

Conference

Conference12th ACM Conference on Designing Interactive Systems (DIS 2017)
Abbreviated titleDIS 2017
CountryUnited Kingdom
CityEdinburgh
Period10/06/1714/06/17
OtherSpace, Place and Interface
Internet address

Keywords

  • Biofeedback
  • Heart rate variability
  • Metaphor
  • Stress
  • Visualization

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  • Cite this

    Yu, B., Funk, M., Hu, J., & Feijs, L. M. G. (2017). StressTree: a metaphorical visualization for biofeedbackassisted stress management. In DIS 2017 - Proceedings of the 2017 ACM Conference on Designing Interactive Systems, 10-14 June 2017, Edinburgh, United Kingdom (pp. 333-337). Association for Computing Machinery, Inc. https://doi.org/10.1145/3064663.3064729