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      Behavioral patterns in robotic collaborative assembly: comparing neurotypical and Autism Spectrum Disorder participants

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          Abstract

          Introduction

          In Industry 4.0, collaborative tasks often involve operators working with collaborative robots (cobots) in shared workspaces. Many aspects of the operator's well-being within this environment still need in-depth research. Moreover, these aspects are expected to differ between neurotypical (NT) and Autism Spectrum Disorder (ASD) operators.

          Methods

          This study examines behavioral patterns in 16 participants (eight neurotypical, eight with high-functioning ASD) during an assembly task in an industry-like lab-based robotic collaborative cell, enabling the detection of potential risks to their well-being during industrial human-robot collaboration. Each participant worked on the task for five consecutive days, 3.5 h per day. During these sessions, six video clips of 10 min each were recorded for each participant. The videos were used to extract quantitative behavioral data using the NOVA annotation tool and analyzed qualitatively using an ad-hoc observational grid. Also, during the work sessions, the researchers took unstructured notes of the observed behaviors that were analyzed qualitatively.

          Results

          The two groups differ mainly regarding behavior (e.g., prioritizing the robot partner, gaze patterns, facial expressions, multi-tasking, and personal space), adaptation to the task over time, and the resulting overall performance.

          Discussion

          This result confirms that NT and ASD participants in a collaborative shared workspace have different needs and that the working experience should be tailored depending on the end-user's characteristics. The findings of this study represent a starting point for further efforts to promote well-being in the workplace. To the best of our knowledge, this is the first work comparing NT and ASD participants in a collaborative industrial scenario.

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          Nancy Moules, Deborah White, Jill M Norris … (2017)
          Article 0 comments Cited 1528 times – based on 0 reviews     Review now
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            What Is the Male-to-Female Ratio in Autism Spectrum Disorder? A Systematic Review and Meta-Analysis

            Rachel Loomes, Laura Hull, William Polmear Locke Mandy (2017)
            To derive the first systematically calculated estimate of the relative proportion of boys and girls with autism spectrum disorder (ASD) through a meta-analysis of prevalence studies conducted since the introduction of the DSM-IV and the International Classification of Diseases, Tenth Revision.
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              Employment and adults with autism spectrum disorders: Challenges and strategies for success

              Dawn R. Hendricks (2010)
              Article 0 comments Cited 83 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Journal
                Journal ID (nlm-ta): Front Psychol
                Journal ID (iso-abbrev): Front Psychol
                Journal ID (publisher-id): Front. Psychol.
                Title: Frontiers in Psychology
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 1664-1078
                Publication date (Electronic): 26 October 2023
                Publication date Collection: 2023
                Volume: 14
                Electronic Location Identifier: 1245857
                Affiliations
                [1] 1Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy , Lecco, Italy
                [2] 2Department of Psychology, Catholic University of the Sacred Heart , Milan, Italy
                [3] 3Department of Human-Centered Artificial Intelligence, University of Augsburg , Augsburg, Germany
                [4] 4Department of Industrial Engineering, University of Bologna , Bologna, Italy
                [5] 5Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico E. Medea , Lecco, Italy
                Author notes

                Edited by: Francesca Ciardo, University of Milano-Bicocca, Italy

                Reviewed by: Davide Marocco, University of Naples Federico II, Italy; Francesco Bossi, University of Pisa, Italy

                *Correspondence: Pooja Prajod pooja.prajod@ 123456uni-a.de

                †These authors have contributed equally to this work and share first authorship

                Article
                DOI: 10.3389/fpsyg.2023.1245857
                PMC ID: 10637657
                PubMed ID: 37954185
                SO-VID: 28a2b774-ed96-42bf-aecd-bb60b587d192
                Copyright © Copyright © 2023 Mondellini, Prajod, Lavit Nicora, Chiappini, Micheletti, Storm, Vertechy, André and Malosio.
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 23 June 2023
                Date accepted : 05 October 2023
                Page count
                Figures: 11, Tables: 4, Equations: 0, References: 53, Pages: 19, Words: 13868
                Funding
                This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 847926 MindBot.
                Categories
                Subject: Psychology
                Subject: Original Research
                Custom metadata
                section-at-acceptance Cognitive Science

                ScienceOpen disciplines: Clinical Psychology & Psychiatry
                Keywords: human-robot collaboration,autism spectrum disorder,industry 4.0,behavior analysis,joint activity,wellbeing
                Data availability:
                ScienceOpen disciplines: Clinical Psychology & Psychiatry
                Keywords: human-robot collaboration, autism spectrum disorder, industry 4.0, behavior analysis, joint activity, wellbeing

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