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Correlation of Qualitative User Experience Feedback and Interface-Generated Quantitative Data during Human-Robot Interaction

Published: 08 May 2021 Publication History

Abstract

My research is on Human-Robot Interaction (HRI) from a User Centered Design (UCD) perspective and values the user’s qualitative assessment of their interaction under the concept of User Experience (UX). Traditionally, UX is retrieved in a written questionnaire as a satisfaction survey, nevertheless, with the hike in electronic devices equipped with a diversity of sensors, actuators and processing capabilities (turning everyday appliances into robots) comes an intention to migrate from qualitative to quantitative assessment of the UX; for example, visual recognition of emotional facial expressions. In this regard, what I present as a novelty in the research area is the study of interaction data generated through the robot’s interface during its intended use (everyday use), while providing an anonymous experience (no cameras, no mics) to the user.
For the experimental setup, I designed and built a robotic Desk-Lamp with 5 degrees of freedom (height, brightness, projection angle, sensitivity of the interface and ambient lighting) as test bench, equipped with: an interface instrumented to sense the force delivered by the user while “pushing buttons”; 18 variable data-logging system at 20 SPS (Sample Per Second); high precision and high repeatability electronics and mechanisms; real-time sensing of the user and low-latency operation due to parallel processing. The test bench is designed to be used in multiple experiments with users, varying the robot behavior and interaction procedures to compare the interaction data generated in the interface with a written UX questionnaire.

References

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Dipanjan Ghosh, Andrew Olewnik, Kemper Lewis, Junghan Kim, and Arun Lakshmanan. 2017. CYBER- EMPATHIC DESIGN - A DATA DRIVEN FRAMEWORK FOR PRODUCT DESIGN. Journal of Mechanical Design 139 (05 2017). https://doi.org/10.1115/1.4036780
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ISO 9241:210(E) 2010. Ergonomics of human-system interaction: Human-centered design for interactive systems. Standard. International Organization for Standardization, Geneva, SW.
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Bettina Laugwitz, Theo Held, and Martin Schrepp. 2008. Construction and Evaluation of a User Experience Questionnaire. In HCI and Usability for Education and Work, Andreas Holzinger (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 63–76.
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Wen Shen, Alanoud Al Khemeiri, Abdulla Almehrzi, Wael Al Enezi, Iyad Rahwan, and Jacob W. Crandall. 2017. Regulating Highly Automated Robot Ecologies: Insights from Three User Studies. In Proceedings of the 5th International Conference on Human Agent Interaction (Bielefeld, Germany) (HAI ’17). Association for Computing Machinery, New York, NY, USA, 111–120. https://doi.org/10.1145/3125739.3125758
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Jonathan Vitale, Meg Tonkin, Sarita Herse, Suman Ojha, Jesse Clark, Mary-Anne Williams, Xun Wang, and William Judge. 2018. Be More Transparent and Users Will Like You: A Robot Privacy and User Experience Design Experiment. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (Chicago, IL, USA) (HRI ’18). Association for Computing Machinery, New York, NY, USA, 379–387. https://doi.org/10.1145/3171221.3171269
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Qianli Xu, Jamie Ng, Odelia Tan, Zhiyong Huang, Benedict Tay, and Taezoon Park. 2015. Methodological Issues in Scenario-Based Evaluation of Human–Robot Interaction. International Journal of Social Robotics 7, 2 (01 Apr 2015), 279–291. https://doi.org/10.1007/s12369-014-0248-9

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cover image ACM Conferences
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
May 2021
2965 pages
ISBN:9781450380959
DOI:10.1145/3411763
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 08 May 2021

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  1. Design of experiments (DoE)
  2. User centered design (UCD)
  3. User experience (UX)

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