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Exploring the impact of transparency on the interaction with an in-car digital AI assistant

Published: 21 September 2019 Publication History

Abstract

Nowadays, intelligent assistants, such as Amazon's Alexa, are widely available. Unsurprisingly, intelligent assistants find their way into cars, in some cases as a major way to interact with the car. We conducted a user enactment exploring the impact of transparency on a possible future user experience with a digital AI assistant in the car. The focus is on whether tasks should be performed in an opaque way, only involving the user when it is necessary, or in a transparent way, always offering the user insights into what is being done and how. We present initial findings indicating a slight preference towards more transparency.

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Cited By

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  • (2022)Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligenceBig Data & Society10.1177/205395172210929569:1Online publication date: 10-May-2022
  • (2022)Tangible Interaction with In-Car Smart IntelligenceAdjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3544999.3552538(1-9)Online publication date: 17-Sep-2022
  • (2022)Developing Autopilot Agent Transparency for Collaborative Driving2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE54890.2022.9836249(1-6)Online publication date: 22-Jun-2022
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        cover image ACM Conferences
        AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings
        September 2019
        524 pages
        ISBN:9781450369206
        DOI:10.1145/3349263
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Publication History

        Published: 21 September 2019

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        Author Tags

        1. explainability
        2. human AI interaction
        3. transparency

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        Overall Acceptance Rate 248 of 566 submissions, 44%

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        View all
        • (2022)Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligenceBig Data & Society10.1177/205395172210929569:1Online publication date: 10-May-2022
        • (2022)Tangible Interaction with In-Car Smart IntelligenceAdjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3544999.3552538(1-9)Online publication date: 17-Sep-2022
        • (2022)Developing Autopilot Agent Transparency for Collaborative Driving2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE54890.2022.9836249(1-6)Online publication date: 22-Jun-2022
        • (2022)A systematic review of functions and design features of in-vehicle agentsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102864165:COnline publication date: 1-Sep-2022
        • (2021)User Preferences in the Design of Advanced Driver Assistance SystemsSustainability10.3390/su1307393213:7(3932)Online publication date: 2-Apr-2021
        • (2021)Ubiquitous Computing: Driving in the Intelligent EnvironmentMathematics10.3390/math92126499:21(2649)Online publication date: 20-Oct-2021

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