StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks

Don Samitha Elvitigala; Philipp M. Scholl; Hussel Suriyaarachchi; Vipula DIssanayake; Suranga Nanayakkara

doi:10.1145/3447526.3472023

StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks

Don Samitha Elvitigala, Philipp M. Scholl, Hussel Suriyaarachchi, Vipula DIssanayake, Suranga Nanayakkara

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

14 Citations (Scopus)

Abstract

Self-Tracking stress at work is an important aspect of stress management and is often the first step to improving mental health and personal well-being. We introduce StressShoe, a DIY toolkit for self-tracking stress and just-in-time stress interventions for office workers performing sedentary tasks. Informed by a focus group study and a pilot study, we designed and tested a toolkit that consists of a single, off-the-shelf, shoe-mounted inertial measurement unit (IMU), a machine learning model that estimates acute stress, and a companion mobile app. The mobile app allows for user-defined just-in-time interventions on the estimated stress level. To demonstrate the benefits of our system we evaluated StressShoe with 10 users over 4 weeks. We identified several effective just-in-time personalised intervention users created and found that StressShoe is easy to use and helped them reflect on their daily stressful experiences.

Original language	English
Title of host publication	Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction
Editors	Jessica Cauchard, Marcos Serrano
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	14
ISBN (Electronic)	9781450383288
DOIs	https://doi.org/10.1145/3447526.3472023
Publication status	Published - 2021
Externally published	Yes
Event	International Conference on Human-Computer Interaction with Mobile Devices and Services 2021 - Online, France Duration: 27 Sept 2021 → 1 Oct 2021 Conference number: 23rd https://dl.acm.org/doi/proceedings/10.1145/3447526 (Proceedings)

Conference

Conference	International Conference on Human-Computer Interaction with Mobile Devices and Services 2021
Abbreviated title	MobileHCI 2021
Country/Territory	France
Period	27/09/21 → 1/10/21
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3447526 (Proceedings)

Keywords

computer-based intervention
interface study
occupational health
stress detection

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3447526.3472023

Cite this

Elvitigala, D. S., Scholl, P. M., Suriyaarachchi, H., DIssanayake, V., & Nanayakkara, S. (2021). StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks. In J. Cauchard, & M. Serrano (Eds.), Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction Article 38 Association for Computing Machinery (ACM). https://doi.org/10.1145/3447526.3472023

Elvitigala, Don Samitha ; Scholl, Philipp M. ; Suriyaarachchi, Hussel et al. / StressShoe : a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks. Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction. editor / Jessica Cauchard ; Marcos Serrano. New York NY USA : Association for Computing Machinery (ACM), 2021.

@inproceedings{639ce1de614c49be94c611046e99996d,

title = "StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks",

abstract = "Self-Tracking stress at work is an important aspect of stress management and is often the first step to improving mental health and personal well-being. We introduce StressShoe, a DIY toolkit for self-tracking stress and just-in-time stress interventions for office workers performing sedentary tasks. Informed by a focus group study and a pilot study, we designed and tested a toolkit that consists of a single, off-the-shelf, shoe-mounted inertial measurement unit (IMU), a machine learning model that estimates acute stress, and a companion mobile app. The mobile app allows for user-defined just-in-time interventions on the estimated stress level. To demonstrate the benefits of our system we evaluated StressShoe with 10 users over 4 weeks. We identified several effective just-in-time personalised intervention users created and found that StressShoe is easy to use and helped them reflect on their daily stressful experiences.",

keywords = "computer-based intervention, interface study, occupational health, stress detection",

author = "Elvitigala, {Don Samitha} and Scholl, {Philipp M.} and Hussel Suriyaarachchi and Vipula DIssanayake and Suranga Nanayakkara",

note = "Funding Information: This work was supported by Assistive Augmentation research grant under the Entrepreneurial Universities (EU) initiative of New Zealand. Publisher Copyright: {\textcopyright} 2021 ACM.; International Conference on Human-Computer Interaction with Mobile Devices and Services 2021, MobileHCI 2021 ; Conference date: 27-09-2021 Through 01-10-2021",

year = "2021",

doi = "10.1145/3447526.3472023",

language = "English",

editor = "Jessica Cauchard and Marcos Serrano",

booktitle = "Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction",

publisher = "Association for Computing Machinery (ACM)",

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}

Elvitigala, DS, Scholl, PM, Suriyaarachchi, H, DIssanayake, V & Nanayakkara, S 2021, StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks. in J Cauchard & M Serrano (eds), Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction., 38, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human-Computer Interaction with Mobile Devices and Services 2021, France, 27/09/21. https://doi.org/10.1145/3447526.3472023

StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks. / Elvitigala, Don Samitha; Scholl, Philipp M.; Suriyaarachchi, Hussel et al.
Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction. ed. / Jessica Cauchard; Marcos Serrano. New York NY USA: Association for Computing Machinery (ACM), 2021. 38.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - StressShoe

T2 - International Conference on Human-Computer Interaction with Mobile Devices and Services 2021

AU - Elvitigala, Don Samitha

AU - Scholl, Philipp M.

AU - Suriyaarachchi, Hussel

AU - DIssanayake, Vipula

AU - Nanayakkara, Suranga

N1 - Conference code: 23rd

PY - 2021

Y1 - 2021

N2 - Self-Tracking stress at work is an important aspect of stress management and is often the first step to improving mental health and personal well-being. We introduce StressShoe, a DIY toolkit for self-tracking stress and just-in-time stress interventions for office workers performing sedentary tasks. Informed by a focus group study and a pilot study, we designed and tested a toolkit that consists of a single, off-the-shelf, shoe-mounted inertial measurement unit (IMU), a machine learning model that estimates acute stress, and a companion mobile app. The mobile app allows for user-defined just-in-time interventions on the estimated stress level. To demonstrate the benefits of our system we evaluated StressShoe with 10 users over 4 weeks. We identified several effective just-in-time personalised intervention users created and found that StressShoe is easy to use and helped them reflect on their daily stressful experiences.

AB - Self-Tracking stress at work is an important aspect of stress management and is often the first step to improving mental health and personal well-being. We introduce StressShoe, a DIY toolkit for self-tracking stress and just-in-time stress interventions for office workers performing sedentary tasks. Informed by a focus group study and a pilot study, we designed and tested a toolkit that consists of a single, off-the-shelf, shoe-mounted inertial measurement unit (IMU), a machine learning model that estimates acute stress, and a companion mobile app. The mobile app allows for user-defined just-in-time interventions on the estimated stress level. To demonstrate the benefits of our system we evaluated StressShoe with 10 users over 4 weeks. We identified several effective just-in-time personalised intervention users created and found that StressShoe is easy to use and helped them reflect on their daily stressful experiences.

KW - computer-based intervention

KW - interface study

KW - occupational health

KW - stress detection

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M3 - Conference Paper

AN - SCOPUS:85117259178

BT - Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction

A2 - Cauchard, Jessica

A2 - Serrano, Marcos

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Y2 - 27 September 2021 through 1 October 2021

ER -

Elvitigala DS, Scholl PM, Suriyaarachchi H, DIssanayake V, Nanayakkara S. StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks. In Cauchard J, Serrano M, editors, Proceedings of MobileHCI 2021 - The ACM International Conference on Mobile Human-Computer Interaction. New York NY USA: Association for Computing Machinery (ACM). 2021. 38 doi: 10.1145/3447526.3472023

StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Towards using involuntary body gestures for measuring the user engagement in VR gaming

The ACM International Conference on Mobile Human-Computer Interaction 2021

Cite this

StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Research output

Towards using involuntary body gestures for measuring the user engagement in VR gaming

Activities

The ACM International Conference on Mobile Human-Computer Interaction 2021

Cite this