Hostname: page-component-848d4c4894-xm8r8 Total loading time: 0 Render date: 2024-06-15T11:27:18.507Z Has data issue: false hasContentIssue false
  • English
  • Français

Unveiling key user experience issues to facilitate user-centred design of inertial motion capture systems

Published online by Cambridge University Press:  16 May 2024

Charu Tripathi ,
Manish Arora  and
Amaresh Chakrabarti
Charu Tripathi*
Affiliation:
Indian Institute of Science, Bangalore, India
Manish Arora
Affiliation:
Indian Institute of Science, Bangalore, India
Amaresh Chakrabarti
Affiliation:
Indian Institute of Science, Bangalore, India
*
charut@iisc.ac.in

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Inertial motion capture has garnered considerable attention within the manufacturing industry for ergonomic assessments due to high reliability and fewer constraints compared to alternative posture tracking direct measurement tools. However, these wearable systems, while ensuring reliability and precision in the results, also introduce a degree of invasiveness. Hence, user experience becomes an important aspect for design and development of such systems. This paper reveals major user experience issues resulting from an experimental study for promoting user-centred design of wearable systems.

Keywords

user experienceuser-centred designindustrial designwearable systemsergonomics
Type
Industrial Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2453 - 2462
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

References

Andreoni, Giuseppe. (2023), "Investigating and Measuring Usability in Wearable Systems: A Structured Methodology and Related Protocol." Applied Sciences, Vol. 13, No. 6, p. 3595. https://doi.org/10.3390/app13063595CrossRefGoogle Scholar
Anes, H., Pinto, T., Lima, C., Nogueira, P., & Reis, A. (2023), "Wearable Devices in Industry 4.0: A Systematic Literature Review." In Mehmood, R. et al. (Eds.), Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems (Vol. 741), pp. 1-32. https://doi.org/10.1007/978-3-031-38318-2_33CrossRefGoogle Scholar
Baskan, A., & Goncu-Berk, G. (2022), "User Experience of Wearable Technologies: A Comparative Analysis of Textile-Based and Accessory-Based Wearable Products." Applied Sciences, Vol. 12, No. 21, pp. 11154. https://doi.org/10.3390/app122111154CrossRefGoogle Scholar
Braun, V., & Clarke, V. (2019), "Reflecting on reflexive thematic analysis." Qualitative Research in Sport, Exercise and Health, Vol. 11, No. 4, pp. 589-597. https://doi.org/10.1080/2159676X.2019.1628806CrossRefGoogle Scholar
Byrne, D. (2022), "A worked example of Braun and Clarke's approach to reflexive thematic analysis." Qualitative & Quantitative, Vol. 56, pp. 1391-1412. https://doi.org/10.1007/s11135-021-01182-yCrossRefGoogle Scholar
Ceseracciu, E., Sawacha, Z., & Cobelli, C. (2014), "Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of concept." PLoS One, Vol. 9, No. 3, e87640. https://doi.org/10.1371/journal.pone.0087640CrossRefGoogle ScholarPubMed
Costa, A. P., de Sousa, F. N., Moreira, A., & de Souza, D. N. (2017), "Research through Design: Qualitative Analysis to Evaluate the Usability." In Costa, A. et al. (Eds.), Computer Supported Qualitative Research. Studies in Systems, Decision and Control (Vol. 71). Springer. https://doi.org/10.1007/978-3-319-43271-7_1Google Scholar
Feng, B., Zhang, X., & Zhao, H. (2013), "The Research of Motion Capture Technology Based on Inertial Measurement." In 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, pp. 238-243. IEEE. https://doi.org/10.1109/DASC.2013.69Google Scholar
Hansson, G.-Å., Balogh, I., Ohlsson, K., Granqvist, L., Nordander, C., Arvidsson, I., Sandsjö, …, L. (2009), "Physical workload in various types of work: Part I. Wrist and forearm." International Journal of Industrial Ergonomics, Vol. 39, pp. 221-233. https://doi.org/10.1016/j.ergon.2008.04.003CrossRefGoogle Scholar
Jung, H., & Chung, K.-Y. (2014), "Discovery of automotive design paradigm using relevance feedback." Personal and Ubiquitous Computing, Vol. 18, No. 6, pp. 1363-1372. https://doi.org/10.1007/s00779-013-0738-zCrossRefGoogle Scholar
Klaassen, B., van Beijnum, B. F., Held, J. P., Reenalda, J., van Meulen, F. B., Veltink, P. H., & Hermens, H. J. (2017), "Usability Evaluations of a Wearable Inertial Sensing System and Quality of Movement Metrics for Stroke Survivors by Care Professionals." Frontiers in bioengineering and biotechnology, Vol. 5, p. 20. https://doi.org/10.3389/fbioe.2017.00020CrossRefGoogle ScholarPubMed
Knight, J. F., & Baber, C. (2005), "A tool to assess the comfort of wearable computers." Human Factors, Vol. 47, No. 1, pp. 77–91. https://doi.org/10.1518/0018720053653875CrossRefGoogle ScholarPubMed
Kong, X. T. R., Yang, X., Huang, G. Q., & Luo, H. (2018), "The impact of industrial wearable system on industry 4.0." In 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), pp. 1-6. IEEE. https://doi.org/10.1109/ICNSC.2018.8361266CrossRefGoogle Scholar
Lee, J.-H., & Chang, M.-L. (2010), "Stimulating designers’ creativity based on a creative evolutionary system and collective intelligence in product design." Ergonomics, Vol. 40, No. 3, pp. 295-305. https://doi.org/10.1080/2159676X.2019.1628806Google Scholar
Lowe, B. D., Dempsey, P. G., & Jones, E. M. (2019), "Ergonomics assessment methods used by ergonomics professionals." Applied Ergonomics, Vol. 81, 102882. https://doi.org/10.1016/j.apergo.2019.102882CrossRefGoogle ScholarPubMed
Michaelis, J. R., Rupp, M. A., Kozachuk, J., Ho, B., Zapata-Ocampo, D., McConnell, D. S., & Smither, J. A. (2016), "Describing the User Experience of Wearable Fitness Technology through Online Product Reviews." Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 60, No. 1, pp. 1073-1077. https://doi.org/10.1177/1541931213601248CrossRefGoogle Scholar
Mudiyanselage, S. E., Nguyen, P. H. D., Rajabi, M. S., & Akhavian, R. (2021), "Automated Workers’ Ergonomic Risk Assessment in Manual Material Handling Using sEMG Wearable Sensors and Machine Learning." Electronics, Vol. 10, No. 20, p. 2558. https://doi.org/10.3390/electronics10202558CrossRefGoogle Scholar
Pearson, E. J. (2009), "Comfort and its measurement - a literature review." Disability and Rehabilitation: Assistive Technology, Vol. 4, No. 5, pp. 301–310. https://doi.org/10.1080/17483100902980950Google ScholarPubMed
Prince, S. A., Adamo, K. B., Hamel, M., Hardt, J., Connor Gorber, S., & Tremblay, M. (2008), "A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review." International Journal of Behavioral Nutrition and Physical Activity, Vol. 5, No. 1, p. 56. https://doi.org/10.1186/1479-5868-5-56CrossRefGoogle ScholarPubMed
Rautray, P., Mathew, D. J., & Eisenbart, B. (2020), "USERS’ SURVEY FOR DEVELOPMENT OF PASSENGER DRONES." Proceedings of the Design Society: DESIGN Conference, Vol. 1, pp. 1637–1646. https://doi.org/10.1017/dsd.2020.39Google Scholar
Rosário, A. T., & Dias, J. C. (2023), "How Industry 4.0 and Sensors Can Leverage Product Design: Opportunities and Challenges." Sensors, Vol. 23, No. 3, p. 1165. https://doi.org/10.3390/s23031165CrossRefGoogle ScholarPubMed
Salisu, S., Ruhaiyem, N. I. R., Eisa, T. A. E., Nasser, M., Saeed, F., & Younis, H. A. (2023), "Motion Capture Technologies for Ergonomics: A Systematic Literature Review." Diagnostics (Basel, Switzerland), Vol. 13, No. 15, p. 2593. https://doi.org/10.3390/diagnostics13152593Google ScholarPubMed
Stefana, E., Marciano, F., Rossi, D., Cocca, P., & Tomasoni, G. (2021), "Wearable Devices for Ergonomics: A Systematic Literature Review." Sensors, Vol. 21, No. 3, p. 777. https://doi.org/10.3390/s21030777CrossRefGoogle ScholarPubMed
Svertoka, E., Rusu-Casandra, A., & Marghescu, I. (2020), "State-of-the-art of industrial wearables: a systematic review." In 2020 13th International Conference on Communications (COMM), pp. 411-415. IEEE. https://doi.org/10.1109/COMM48946.2020.9141982CrossRefGoogle Scholar
Zhang, P. (2018), "User experience study of wearable devices among young people" (Master's thesis).Google Scholar
Zeng, Z., Liu, Y., Hu, X., et al. . (2022), "Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis." Sports Med - Open, Vol. 8, p. 86. https://doi.org/10.1186/s40798-022-00477-0CrossRefGoogle Scholar