Towards Explainable and Trustworthy Autonomous Physical Systems Show others and affiliations
2021 (English) In: CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI '21 Extended Abstracts) / [ed] Yoshifumi Kitamura, Aaron Quigley, Katherine Isbister, Takeo Igarashi, Association for Computing Machinery (ACM), 2021, article id 88Conference paper, Published paper (Refereed)
Abstract [en]
The safe deployment of autonomous physical systems in real-world scenarios requires them to be explainable and trustworthy, especially in critical domains. In contrast with g€black-box' systems, explainable and trustworthy autonomous physical systems will lend themselves to easy assessments by system designers and regulators. This promises to pave ways for easy improvements that can lead to enhanced performance, and as well, increased public trust. In this one-day virtual workshop, we aim to gather a globally distributed group of researchers and practitioners to discuss the opportunities and social challenges in the design, implementation, and deployment of explainable and trustworthy autonomous physical systems, especially in a post-pandemic era. Interactions will be fostered through panel discussions and a series of spotlight talks. To ensure lasting impact of the workshop, we will conduct a pre-workshop survey which will examine the public perception of the trustworthiness of autonomous physical systems. Further, we will publish a summary report providing details about the survey as well as the identified challenges resulting from the workshop's panel discussions.
Place, publisher, year, edition, pages Association for Computing Machinery (ACM), 2021. article id 88
Keywords [en]
collaboration, Explainability, human-machine interaction, trust
National Category
Computer Sciences
Identifiers URN: urn:nbn:se:umu:diva-183629 DOI: 10.1145/3411763.3441338 ISI: 000759178500029 Scopus ID: 2-s2.0-85105807078 ISBN: 978-1-4503-8095-9 (electronic) OAI: oai:DiVA.org:umu-183629 DiVA, id: diva2:1557901
Conference CHI '21: CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 8-13 May, 2021
2021-05-272021-05-272023-09-05 Bibliographically approved