Ubiquitous Machinery Monitoring - A Field Study on Manufacturing Workers' User Experience of Mobile and Wearable Monitoring Apps

Author:

Müller Sebastian1,Baldauf Matthias1,Seeliger Arne2

Affiliation:

1. Eastern Switzerland University of Applied Sciences, St.Gallen, Switzerland

2. ETH Zurich & Geberit Produktions AG, Zurich, Switzerland

Abstract

Fueled by ongoing digitization efforts, manufacturing is currently undergoing a transformational process towards interconnected machinery and workforce, which enables a wide range of interactive monitoring and controlling applications. Whereas existing user-centered work addressed remote monitoring from office workplaces, it remains unclear how manufacturing workers experience and adopt machinery monitoring apps on mobile and wearable devices. To close this gap, we conducted a four-week field study in a running factory to study workers' overall user experience and acceptance of such monitoring apps, the subjective impact on their work routines, and their preferred device type. Under productive operation, 11 manufacturing workers used functional application prototypes on smartphones and smartwatches to receive notifications of machine incidents. In 22 individual interviews and two focus groups, we collected the participants' impressions and assessments. Based on these results, we derive a set of recommendations for designing and deploying machinery monitoring apps for manufacturing workers.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference42 articles.

1. Mario Aehnelt and Bodo Urban . 2014. Follow-Me: Smartwatch Assistance on the Shop Floor . In HCI in Business, Fiona Fui-Hoon Nah (Ed.) . Springer International Publishing , Cham , 279--287. Mario Aehnelt and Bodo Urban. 2014. Follow-Me: Smartwatch Assistance on the Shop Floor. In HCI in Business, Fiona Fui-Hoon Nah (Ed.). Springer International Publishing, Cham, 279--287.

2. Use of wearable and augmented reality technologies in industrial maintenance work

3. Human Interventions in the Smart Factory – A Case Study on Co-Designing Mobile and Wearable Monitoring Systems with Manufacturing Staff

4. Virginia Braun and Victoria Clarke . 2012. Thematic analysis . In APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological . American Psychological Association , 57--71. https://doi.org/10.1037/13620-004 10.1037/13620-004 Virginia Braun and Victoria Clarke. 2012. Thematic analysis. In APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. American Psychological Association, 57--71. https://doi.org/10.1037/13620-004

5. John Brooke . 1995 . SUS: A quick and dirty usability scale. Usability Eval. Ind. 189 (11 1995). John Brooke. 1995. SUS: A quick and dirty usability scale. Usability Eval. Ind. 189 (11 1995).

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