Resilient strategies for socially compliant autonomous assistive dressing robots
Resilient strategies for socially compliant autonomous assistive dressing robots
Developing resilient autonomous systems requires an interdisciplinary approach that can understand performance variability and respond to critical events when they occur. Resilience within autonomous systems must also account for social norms as well as broader ethical and legal considerations. Within this paper we outline the importance of embedding Social, Legal, Ethical, Empathetic and Cultural (SLEEC) constraints within the development of future autonomous systems. A novel methodological approach is presented that combines Human Factors methods with Computer Science techniques to generate the environmental and situational requirements in combination with a computer rule-based requirements language. This approach also provides a possible structure for capturing contextual and situational information from key stakeholders in the development of autonomous systems. This structure will enable engagement with the stakeholders with respect to key elements identified from this interdisciplinary approach in a responsible way to ensure that future autonomous systems are user centred. The approach is domain independent, but it is applied here to the case of an autonomous assistive dressing robot that aids a user in a dressing task, with a specific critical event that requires a SLEEC resilient response.
Assistive Dressing Robot, Autonomous Systems, Human Factors, Requirements Engineering, Resillience, Social Legal Ethical Empathy Culture Constraints, Strategy Analaysis Diagram, Social Legal Ethical Empathy Culture constraints, Strategy Analysis Diagram, Resilience
Parnell, Katie
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Merriman, Siobhan
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Yaman, Sinem Getir
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Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78
Calinescu, Radu
3e80de97-230c-4d5a-b18b-02694bfc7734
11 July 2023
Parnell, Katie
3f21709a-403b-40e1-844b-0c0a89063b7b
Merriman, Siobhan
93bd85cd-f5a1-4b2c-96f5-7f1df776d07a
Yaman, Sinem Getir
2822a2fc-4472-4790-ae83-5d69c97ff2da
Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78
Calinescu, Radu
3e80de97-230c-4d5a-b18b-02694bfc7734
Parnell, Katie, Merriman, Siobhan, Yaman, Sinem Getir, Plant, Katherine and Calinescu, Radu
(2023)
Resilient strategies for socially compliant autonomous assistive dressing robots.
TAS 2023, , Edinburgh, United Kingdom.
11 - 12 Jul 2023.
9 pp
.
(doi:10.1145/3597512.3599711).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Developing resilient autonomous systems requires an interdisciplinary approach that can understand performance variability and respond to critical events when they occur. Resilience within autonomous systems must also account for social norms as well as broader ethical and legal considerations. Within this paper we outline the importance of embedding Social, Legal, Ethical, Empathetic and Cultural (SLEEC) constraints within the development of future autonomous systems. A novel methodological approach is presented that combines Human Factors methods with Computer Science techniques to generate the environmental and situational requirements in combination with a computer rule-based requirements language. This approach also provides a possible structure for capturing contextual and situational information from key stakeholders in the development of autonomous systems. This structure will enable engagement with the stakeholders with respect to key elements identified from this interdisciplinary approach in a responsible way to ensure that future autonomous systems are user centred. The approach is domain independent, but it is applied here to the case of an autonomous assistive dressing robot that aids a user in a dressing task, with a specific critical event that requires a SLEEC resilient response.
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Accepted/In Press date: 13 June 2023
Published date: 11 July 2023
Additional Information:
Funding Information:
This work was funded by the Assuring Autonomy International Programme, and the UKRI project EP/V026747/1 ‘Trustworthy Autonomous Systems Node in Resilience’. We would also like to thank our collaborators at the University of Sheffield for their insights into the autonomous dressing robot.
Publisher Copyright:
© 2023 ACM.
Venue - Dates:
TAS 2023, , Edinburgh, United Kingdom, 2023-07-11 - 2023-07-12
Keywords:
Assistive Dressing Robot, Autonomous Systems, Human Factors, Requirements Engineering, Resillience, Social Legal Ethical Empathy Culture Constraints, Strategy Analaysis Diagram, Social Legal Ethical Empathy Culture constraints, Strategy Analysis Diagram, Resilience
Identifiers
Local EPrints ID: 478654
URI: http://eprints.soton.ac.uk/id/eprint/478654
PURE UUID: ff34e082-d2b3-494a-b8f0-dd980117dfbf
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Date deposited: 06 Jul 2023 16:46
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Siobhan Merriman
Author:
Sinem Getir Yaman
Author:
Radu Calinescu
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