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Introducing Mood Self-Tracking at Work: Empirical Insights from Call Centers

Authors:

Verónica Rivera-Pelayo,

Viktoria PammerAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 24, Issue 1

Article No.: 3, Pages 1 - 28

https://doi.org/10.1145/3014058

Published: 03 February 2017 Publication History

Abstract

The benefits of self-tracking have been thoroughly investigated in private areas of life, like health or sustainable living, but less attention has been given to the impact and benefits of self-tracking in work-related settings. Through two field studies, we introduced and evaluated a mood self-tracking application in two call centers to investigate the role of mood self-tracking at work, as well as its impact on individuals and teams. Our studies indicate that mood self-tracking is accepted and can improve performance if the application is well integrated into the work processes and matches the management style. The results show that (i) capturing moods and explicitly relating them to work tasks facilitated reflection, (ii) mood self-tracking increased emotional awareness and this improved cohesion within teams, and (iii) proactive reactions by managers to trends and changes in team members’ mood were key for acceptance of reflection and correlated with measured improvements in work performance. These findings help to better understand the role and potential of self-tracking at the workplace, and further provide insights that guide future researchers and practitioners to design and introduce these tools in a work setting.

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Cited By

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https://dl.acm.org/doi/10.1145/3663384.3663396
Loerakker MNiess JWoźniak P(2024)Technology which Makes You ThinkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596158:2(1-24)Online publication date: 15-May-2024
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Luo YYu JLiang MWan YZhu KSantosa S(2024)Emotion Embodied: Unveiling the Expressive Potential of Single-Hand GesturesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642255(1-17)Online publication date: 11-May-2024
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Introducing Mood Self-Tracking at Work: Empirical Insights from Call Centers

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Published In

cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 24, Issue 1

February 2017

225 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/3040973

Editor:
Ken Hinckley
Microsoft Research

Issue’s Table of Contents

Copyright © 2017 ACM.

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 the author(s) 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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Publication History

Published: 03 February 2017

Accepted: 01 October 2016

Revised: 01 October 2016

Received: 01 August 2015

Published in TOCHI Volume 24, Issue 1

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Austrian COMET Program - Competence Centers for Excellent Technologies - under the auspices of the Austrian Federal Ministry of Transport
Austrian Research Promotion Agency FFG
Innovation and Technology
FP7 of the European Commission
Austrian Federal Ministry of Economy

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Cited By

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https://dl.acm.org/doi/10.1145/3663384.3663396
Loerakker MNiess JWoźniak P(2024)Technology which Makes You ThinkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596158:2(1-24)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659615
Luo YYu JLiang MWan YZhu KSantosa S(2024)Emotion Embodied: Unveiling the Expressive Potential of Single-Hand GesturesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642255(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642255
van Berkel NVisuri AShalawadi SEvans MTag BHosio S(2024)From Reflection to Action: Enhancing Workplace Well-Being Through Digital SolutionsInteracting with Computers10.1093/iwc/iwae049Online publication date: 26-Oct-2024
https://doi.org/10.1093/iwc/iwae049
Behn OLeyer MIren D(2024)Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetingsTechnology in Society10.1016/j.techsoc.2024.10246676(102466)Online publication date: Mar-2024
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Mettler TStepanovic S(2023)Acceptable nudge strategies to incentivize the use of wearables and physiolytics at work: A Q-methodology examinationJournal of Information Technology10.1177/02683962231173706(026839622311737)Online publication date: 15-May-2023
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Kabir KWiese J(2023)A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics SystemsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108937:3(1-35)Online publication date: 27-Sep-2023
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Gerdenitsch CBieg TGaitsch MSchörpf PTscheligi MKriglstein S(2023)Tracking to Success? A Critical Reflection on Workplace Quantified-Self Technologies from a Humanistic PerspectiveProceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3596671.3597653(1-7)Online publication date: 13-Jun-2023
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Torkamaan H(2023)Mood Measurement on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808647:1(1-35)Online publication date: 28-Mar-2023
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Peng ZDesmet PXue H(2023)Mood in Experience Design: A Scoping ReviewShe Ji: The Journal of Design, Economics, and Innovation10.1016/j.sheji.2023.09.0019:3(330-378)Online publication date: Nov-2024
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