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”Give Me the Keys, I’ll Drive!”: Results from an Exploratory Interview Study to Assess Public’s Desires and Concerns on Automated Valet Parking

Published: 21 September 2020 Publication History

Abstract

Highly and fully automated vehicles are not expected on public roads in the near future, but at lower levels of automation, several applications/business models are discussed by vehicle manufacturers and fleet operators. Automated valet parking (AVP) is one of them, which could be implemented almost immediately. Vehicles with AVP feature are able to drive independently in the parking garage and find/occupy a free parking space. However, a better understanding of public’s opinion on this service is needed. In this paper, we present the findings from an exploratory interview study on public’s opinion of automated valet parking. Results suggest that the main benefits from the user perspective are clearly practical in nature (time saving, efficient use of parking lots), but are mitigated by emotional concerns (feeling of uncertainty, loss of control). We therefore conclude that these concerns must be addressed to ultimately ensure automated valet parking’s success and benefits in society.

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Cited By

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  • (2023)Analysing the Effects of Scenario-Based Explanations on Automated Vehicle HMIs from Objective and Subjective PerspectivesSustainability10.3390/su1601006316:1(63)Online publication date: 20-Dec-2023

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Published In

cover image ACM Conferences
AutomotiveUI '20: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2020
116 pages
ISBN:9781450380669
DOI:10.1145/3409251
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2020

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Author Tags

  1. Automated driving
  2. Automotive business models.
  3. Parking assistants
  4. Valet parking

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  • Work in progress
  • Research
  • Refereed limited

Funding Sources

  • German Federal Ministry of Education and Research (BMBF)

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AutomotiveUI '20
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Overall Acceptance Rate 248 of 566 submissions, 44%

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View all
  • (2023)Analysing the Effects of Scenario-Based Explanations on Automated Vehicle HMIs from Objective and Subjective PerspectivesSustainability10.3390/su1601006316:1(63)Online publication date: 20-Dec-2023

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