Quantified Factory Worker

Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices

Päivi Heikkilä, Anita Honka, Sebastian Mach, Franziska Schmalfuß, Eija Kaasinen, Kaisa Väänänen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Following the Quantified Self trend, everyday self-tracking practices have become common. Still, self-monitoring of people at work is a rather new research topic. Self-tracking of employees’ activities, mental state and emotions enables data-based feedback, which could improve the employees’ awareness of issues influencing their well-being and performance. We contribute to this topic from two perspectives. First, we explored the potential of wearable self-tracking devices for providing personal feedback to machine operators working in a factory. We used the expert evaluation method to lay ground to the user perspective of self-tracking at work. User experience experts evaluated five tracking devices for their user experience, perceived accuracy and fit to factory workers. Second, we conducted a workshop with the experts to systematically assess the ethical considerations that may arise when adopting self-tracking at work. The results provide insights into the potential of the use of self-tracking devices in a factory context.
Original languageEnglish
Title of host publicationMindtrek 2018
Subtitle of host publicationProceedings of the 22nd International Academic Mindtrek Conference
PublisherAssociation for Computing Machinery ACM
Pages202-211
Number of pages10
ISBN (Electronic)978-1-4503-6589-5
DOIs
Publication statusPublished - 10 Oct 2018
MoE publication typeA4 Article in a conference publication
Event22nd International Academic Mindtrek Conference and the Mindtrek Conference, Mindtrek 2018 - Tampere, Finland
Duration: 10 Oct 201811 Oct 2018
Conference number: 22

Conference

Conference22nd International Academic Mindtrek Conference and the Mindtrek Conference, Mindtrek 2018
Abbreviated titleMindtrek 2018
CountryFinland
CityTampere
Period10/10/1811/10/18

Fingerprint

Industrial plants
Personnel
Feedback
Monitoring

Keywords

  • Ethics
  • Expert evaluation
  • Factory workers
  • Quantified Self
  • User experience
  • Wearable devices

Cite this

Heikkilä, P., Honka, A., Mach, S., Schmalfuß, F., Kaasinen, E., & Väänänen, K. (2018). Quantified Factory Worker: Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices. In Mindtrek 2018: Proceedings of the 22nd International Academic Mindtrek Conference (pp. 202-211). Association for Computing Machinery ACM. https://doi.org/10.1145/3275116.3275119
Heikkilä, Päivi ; Honka, Anita ; Mach, Sebastian ; Schmalfuß, Franziska ; Kaasinen, Eija ; Väänänen, Kaisa. / Quantified Factory Worker : Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices. Mindtrek 2018: Proceedings of the 22nd International Academic Mindtrek Conference. Association for Computing Machinery ACM, 2018. pp. 202-211
@inproceedings{151a19747ed940918c45d1be1b0ff3d3,
title = "Quantified Factory Worker: Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices",
abstract = "Following the Quantified Self trend, everyday self-tracking practices have become common. Still, self-monitoring of people at work is a rather new research topic. Self-tracking of employees’ activities, mental state and emotions enables data-based feedback, which could improve the employees’ awareness of issues influencing their well-being and performance. We contribute to this topic from two perspectives. First, we explored the potential of wearable self-tracking devices for providing personal feedback to machine operators working in a factory. We used the expert evaluation method to lay ground to the user perspective of self-tracking at work. User experience experts evaluated five tracking devices for their user experience, perceived accuracy and fit to factory workers. Second, we conducted a workshop with the experts to systematically assess the ethical considerations that may arise when adopting self-tracking at work. The results provide insights into the potential of the use of self-tracking devices in a factory context.",
keywords = "Ethics, Expert evaluation, Factory workers, Quantified Self, User experience, Wearable devices",
author = "P{\"a}ivi Heikkil{\"a} and Anita Honka and Sebastian Mach and Franziska Schmalfu{\ss} and Eija Kaasinen and Kaisa V{\"a}{\"a}n{\"a}nen",
year = "2018",
month = "10",
day = "10",
doi = "10.1145/3275116.3275119",
language = "English",
pages = "202--211",
booktitle = "Mindtrek 2018",
publisher = "Association for Computing Machinery ACM",
address = "United States",

}

Heikkilä, P, Honka, A, Mach, S, Schmalfuß, F, Kaasinen, E & Väänänen, K 2018, Quantified Factory Worker: Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices. in Mindtrek 2018: Proceedings of the 22nd International Academic Mindtrek Conference. Association for Computing Machinery ACM, pp. 202-211, 22nd International Academic Mindtrek Conference and the Mindtrek Conference, Mindtrek 2018, Tampere, Finland, 10/10/18. https://doi.org/10.1145/3275116.3275119

Quantified Factory Worker : Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices. / Heikkilä, Päivi; Honka, Anita; Mach, Sebastian; Schmalfuß, Franziska; Kaasinen, Eija; Väänänen, Kaisa.

Mindtrek 2018: Proceedings of the 22nd International Academic Mindtrek Conference. Association for Computing Machinery ACM, 2018. p. 202-211.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Quantified Factory Worker

T2 - Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices

AU - Heikkilä, Päivi

AU - Honka, Anita

AU - Mach, Sebastian

AU - Schmalfuß, Franziska

AU - Kaasinen, Eija

AU - Väänänen, Kaisa

PY - 2018/10/10

Y1 - 2018/10/10

N2 - Following the Quantified Self trend, everyday self-tracking practices have become common. Still, self-monitoring of people at work is a rather new research topic. Self-tracking of employees’ activities, mental state and emotions enables data-based feedback, which could improve the employees’ awareness of issues influencing their well-being and performance. We contribute to this topic from two perspectives. First, we explored the potential of wearable self-tracking devices for providing personal feedback to machine operators working in a factory. We used the expert evaluation method to lay ground to the user perspective of self-tracking at work. User experience experts evaluated five tracking devices for their user experience, perceived accuracy and fit to factory workers. Second, we conducted a workshop with the experts to systematically assess the ethical considerations that may arise when adopting self-tracking at work. The results provide insights into the potential of the use of self-tracking devices in a factory context.

AB - Following the Quantified Self trend, everyday self-tracking practices have become common. Still, self-monitoring of people at work is a rather new research topic. Self-tracking of employees’ activities, mental state and emotions enables data-based feedback, which could improve the employees’ awareness of issues influencing their well-being and performance. We contribute to this topic from two perspectives. First, we explored the potential of wearable self-tracking devices for providing personal feedback to machine operators working in a factory. We used the expert evaluation method to lay ground to the user perspective of self-tracking at work. User experience experts evaluated five tracking devices for their user experience, perceived accuracy and fit to factory workers. Second, we conducted a workshop with the experts to systematically assess the ethical considerations that may arise when adopting self-tracking at work. The results provide insights into the potential of the use of self-tracking devices in a factory context.

KW - Ethics

KW - Expert evaluation

KW - Factory workers

KW - Quantified Self

KW - User experience

KW - Wearable devices

UR - http://www.scopus.com/inward/record.url?scp=85056695502&partnerID=8YFLogxK

U2 - 10.1145/3275116.3275119

DO - 10.1145/3275116.3275119

M3 - Conference article in proceedings

SP - 202

EP - 211

BT - Mindtrek 2018

PB - Association for Computing Machinery ACM

ER -

Heikkilä P, Honka A, Mach S, Schmalfuß F, Kaasinen E, Väänänen K. Quantified Factory Worker: Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices. In Mindtrek 2018: Proceedings of the 22nd International Academic Mindtrek Conference. Association for Computing Machinery ACM. 2018. p. 202-211 https://doi.org/10.1145/3275116.3275119