User Experience in Human-Robot Interaction

A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088).

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 8216

Special Issue Editors


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Guest Editor
School of Informatics, University of Skövde, Skövde, Sweden
Interests: user experience; human-robot interaction; human-computer interaction; decision support systems; requirements engineering

E-Mail Website
Guest Editor
University of Skövde, Skövde, Sweden
Interests: user experience; human-robot interaction; human-computer interaction; embodied cognition; human-robot collaboration

Special Issue Information

Dear Colleagues,

Robots are entering the everyday life of humans, having a wide variety of purposes in all kinds of areas; domestic, public, educational, as well as vocational settings. Robots have been used for decades in certain areas, being placed in specialized safety zones in automated industrial settings, in which limited interaction with human users and restricted exposure to wider groups of users occurred. However, when robots are being embedded to a higher extent in human settings they act in shared physical and social spaces with humans. When human users, consisting of different and multifaceted user groups with various exposure and prior experience of robots, not necessarily skilled in robotics, are going to interact with robots the role and relevance of user experience becomes important. User experience refers to human users’ perception, feeling, and behavior in using interactive systems, which also is applicable on robots.  The scope of user experience encompasses every part of the user’s interaction with a robot; how it is perceived, learned, and used, and addresses methods, techniques, and practices for analysis, design, prototyping, and evaluation, having a focus on user-centered processes.

The aim of this special issue is to explore and share research that is connected to user experience in human-robot interaction. This include aspects, frameworks, and theories related concepts of user experience linked to human-robot interaction; principles, techniques, and methods in the user experience design process relevant for human-robot interaction; and addressing the complexity and challenges of the interdisciplinary nature of user experience in human-robot interaction.

We encourage authors to submit original research articles, case studies, reviews, theoretical and critical perspectives, and viewpoint articles on user experience in human-robot interaction, including the following topics, but not limited to:

  • Hedonic qualities
  • Pragmatic qualities
  • Well-being, health and eudaimonia
  • UX goals, requirements, and measures
  • Ethical and societal issues
  • Guidelines and heuristics for design
  • Psychology, learning, and cognition
  • Sustainability, accessibility, and diversity
  • Evaluation methods and techniques
  • Methods for and analysis of field studies
  • Implementation issues
  • Prototyping
  • Challenges and opportunities in doing interdisciplinary work

Dr. Beatrice Alenljung
Dr. Jessica Lindblom
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Multimodal Technologies and Interaction is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

17 pages, 7244 KiB  
Article
Comply with Me: Using Design Manipulations to Affect Human–Robot Interaction in a COVID-19 Officer Robot Use Case
by Ela Liberman-Pincu, Amit David, Vardit Sarne-Fleischmann, Yael Edan and Tal Oron-Gilad
Multimodal Technol. Interact. 2021, 5(11), 71; https://doi.org/10.3390/mti5110071 - 17 Nov 2021
Cited by 4 | Viewed by 3870
Abstract
This study examines the effect of a COVID-19 Officer Robot (COR) on passersby compliance and the effects of its minor design manipulations on human–robot interaction. A robotic application was developed to ensure participants entering a public building comply with COVID restrictions of a [...] Read more.
This study examines the effect of a COVID-19 Officer Robot (COR) on passersby compliance and the effects of its minor design manipulations on human–robot interaction. A robotic application was developed to ensure participants entering a public building comply with COVID restrictions of a green pass and wearing a face mask. The participants’ attitudes toward the robot and their perception of its authoritativeness were explored with video and questionnaires data. Thematic analysis was used to define unique behaviors related to human–COR interaction. Direct and extended interactions with minor design manipulation of the COR were evaluated in a public scenario setting. The results demonstrate that even minor design manipulations may influence users’ attitudes toward officer robots. The outcomes of this research can support manufacturers in rapidly adjusting their robots to new domains and tasks and guide future designs of authoritative socially assistive robots (SARs). Full article
(This article belongs to the Special Issue User Experience in Human-Robot Interaction)
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30 pages, 8643 KiB  
Article
A Pattern Approach to Comprehensible and Pleasant Human–Robot Interaction
by Kathrin Pollmann and Daniel Ziegler
Multimodal Technol. Interact. 2021, 5(9), 49; https://doi.org/10.3390/mti5090049 - 27 Aug 2021
Cited by 6 | Viewed by 3149
Abstract
HRI designers are faced with the task of creating robots that are easy and pleasant to use for the users. The growing body of research in human–robot interaction (HRI) is still mainly focused on technical aspects of the interaction. It lacks defined guidelines [...] Read more.
HRI designers are faced with the task of creating robots that are easy and pleasant to use for the users. The growing body of research in human–robot interaction (HRI) is still mainly focused on technical aspects of the interaction. It lacks defined guidelines that describe how behavioral expressions for social robots need to be designed to promote high usability and positive user experience. To achieve this goal, we propose to apply the concept of design patterns to HRI. We present a design process that provides step-by-step guidance and methods for HRI designers to generate high quality behavioral patterns for social robots that can be used for different robots and use cases. To document the resulting patterns, we developed a documentation format that provides a clear, standardized structure to note down all relevant aspects of a pattern so that others can understand its design recommendations and apply them to their own robot and use cases. In the present paper, we demonstrate our pattern approach based on an example and describe how we arrived at a pattern language of 40 behavioral patterns that found the basis for future social robot design and related research activities. Full article
(This article belongs to the Special Issue User Experience in Human-Robot Interaction)
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