The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Lindblom, Jessica; Alenljung, Beatrice

doi:10.3390/s20154284

Cited by 26 publications

(29 citation statements)

References 140 publications

(685 reference statements)

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“…Hence, robot developers need to obtain the required knowledge in both theory and practice and understand how to perform a successful UX evaluation. This is in line with relevant and recent contributions in the topic [96,97].…”

Section: Challengessupporting

confidence: 92%

User Experience in Social Robots

Shourmasti

Colomo‐Palacios

Holone

et al. 2021

Sensors

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Social robots are increasingly penetrating our daily lives. They are used in various domains, such as healthcare, education, business, industry, and culture. However, introducing this technology for use in conventional environments is not trivial. For users to accept social robots, a positive user experience is vital, and it should be considered as a critical part of the robots’ development process. This may potentially lead to excessive use of social robots and strengthen their diffusion in society. The goal of this study is to summarize the extant literature that is focused on user experience in social robots, and to identify the challenges and benefits of UX evaluation in social robots. To achieve this goal, the authors carried out a systematic literature review that relies on PRISMA guidelines. Our findings revealed that the most common methods to evaluate UX in social robots are questionnaires and interviews. UX evaluations were found out to be beneficial in providing early feedback and consequently in handling errors at an early stage. However, despite the importance of UX in social robots, robot developers often neglect to set UX goals due to lack of knowledge or lack of time. This study emphasizes the need for robot developers to acquire the required theoretical and practical knowledge on how to perform a successful UX evaluation.

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Section: Challengessupporting

confidence: 92%

User Experience in Social Robots

Shourmasti

Colomo‐Palacios

Holone

et al. 2021

Sensors

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“…To provide proper UX evaluation methodology and measures, ref. [65] was a good reference for this study. Ref.…”

Section: Suggestion Of Stimuli and Evaluation Technique By Assessment Conditionsmentioning

confidence: 99%

“…Ref. [65] propose new point of view to evaluate HRI, users' possibilities to recognize a robot's action and intention.…”

Section: Suggestion Of Stimuli and Evaluation Technique By Assessment Conditionsmentioning

confidence: 99%

Evaluation of Methodologies and Measures on the Usability of Social Robots: A Systematic Review

2021

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This paper systemically reviews and clarifies the state-of-the-art HRI evaluation studies especially for the usability of social robots. A total of 36 articles were collected through a keyword, abstract, title search from various online search engines. Afterwards, 163 measures were selected and reviewed carefully. This research was classified into two parts. In the first part, evaluation methodologies were investigated according to (1) type of stimuli on evaluation, (2) evaluation technique, and (3) criteria of participants. In the second part, assessment measures were collected and the model of attitude towards a social robot is proposed. As a result, this study suggests practical strategies for selecting appropriate methods and measures that meet specific requirements of research. The proposed hierarchical structure of assessment measures is expected to contribute to both practical use and academic use.

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“…A substantial body of research focuses on end user programming and interface design as well as educational technologies (see, e.g., [29], [39], and [40]). Another focus is exploring intuitive interaction (see, e.g., [41]- [43]). Simple programming environments (designed to be accessible to a variety of skill levels) should support operators with minimal training to provide input, programming, and reprogramming of the cobot.…”

Section: B Programming and Teaching Cobotsmentioning

confidence: 99%

Cobots in Industry 4.0: A Roadmap for Future Practice Studies on Human–Robot Collaboration

Weiss

Wortmeier

Kubicek

2021

IEEE Trans. Human-Mach. Syst.

103

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With the vision of Industry 4.0 and cobots, working conditions in industrial settings are starting to change. We review related literature from the fields of human-robot interaction, work and organizational psychology, and sociology of work, as well as an exemplary project case study, and identify research gaps regarding the implications of cobots for work environments. We argue that we are in a transition phase from automation to actual collaboration with robots in manufacturing, and that this will open up a new problem space for investigations, in which a practice lens will be crucial. Based on this, we propose a research agenda for social practice and workplace studies to explore the sociotechnical environment of Industry 4.0 involving cobots at the individual, team, and organizational levels.

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The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Cited by 26 publications

References 140 publications

User Experience in Social Robots

User Experience in Social Robots

Evaluation of Methodologies and Measures on the Usability of Social Robots: A Systematic Review

Cobots in Industry 4.0: A Roadmap for Future Practice Studies on Human–Robot Collaboration

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