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Lonely road: speculative challenges for a social media robot aimed to reduce driver loneliness
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-7453-9186
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0001-5688-0156
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0003-2006-6229
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2021 (English)In: Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021Conference paper, Published paper (Refereed)
Abstract [en]

Driver monitoring is expected to contribute greatly to safety in nascent smart cities, also in complex, mixed-traffic scenarios with autonomous vehicles (AVs), vulnerable road users (VRUs), and manually driven vehicles. Until now, one focus has been on detecting bio signals during the relatively short time when a person is inside a vehicle; but, life outside of the vehicle can also affect driving. For example, loneliness, depression, and sleep-deprivation, which might be difficult to detect in time, can increase the risk of accidents–raising possibilities for new and alternative intervention strategies. Thus, the current conceptual paper explores one idea for how continuous care could be provided to improve drivers’ mental states; in particular, the idea of a “robot” that could positively affect a driver’s health through interactions supported by social media mining on Facebook. A speculative design approach is used to present some potential challenges and solutions in regard to a robot’s interaction strategy, user modeling, and ethics. For example, to address how to generate appropriate robot activities and mitigate the risk of damage to the driver, a hybrid neuro-symbolic recognition strategy leveraging stereotypical and self-disclosed information is described. Thereby, the aim of this conceptual paper is to navigate through some “memories” of one possible future, toward stimulating ideation and discussion within the increasingly vital area of safety in smart cities Copyright © 2021

Place, publisher, year, edition, pages
2021.
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:hh:diva-45236DOI: 10.36190/2021.72OAI: oai:DiVA.org:hh-45236DiVA, id: diva2:1577292
Conference
MAISoN 2021. 6th International Workshop on Mining Actionable Insights from Social Networks – Special Edition on Healthcare Social Analytics & The 15th International AAAI Conference on Web and Social Media (ICWSM 2021), Virtual, June 7, 2021
Note

"Welcome to the 6th International workshop on Mining Actionable Insights from Social Networks (MAISoN 2021) - Special Edition on Healthcare Social Analytics. The workshop takes place on Jun 7 and is co-located with The 15th The International AAAI Conference on Web and Social Media (ICWSM 2021), which will be a fully virtual conference"

Available from: 2021-07-02 Created: 2021-07-02 Last updated: 2021-09-09Bibliographically approved

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Valle, FelipeGalozy, AlexanderAshfaq, AwaisEtminani, KobraVinel, AlexeyCooney, Martin

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Halmstad Embedded and Intelligent Systems Research (EIS)CAISR - Center for Applied Intelligent Systems ResearchCentre for Research on Embedded Systems (CERES)
Mechanical Engineering

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