research-article

Advancing electric vehicle range displays for enhanced user experience: the relevance of trust and adaptability

Authors:

Madlen Günther,

Josef F. Krems,

Andreas KeinathAuthors Info & Claims

AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 249 - 256

https://doi.org/10.1145/2799250.2799283

Published: 01 September 2015 Publication History

Abstract

Advancing range-information user interfaces towards enhanced usability is a continuous task in electric vehicle development. The objective of the present research was (1) to examine experienced trustworthiness of a typical range-information user interface, (2) to test a newly constructed trustworthiness scale, (3) to examine the relationship of experienced trustworthiness to individual usable range (i.e., comfortable range), and (4) to identify possibilities for further improvement of range-information user interfaces. Data from N = 74 participants of a large-scale electric vehicle field trial were analyzed. Results show that experienced trustworthiness of the range estimation system is related to a higher comfortable range. Moreover, users developed several suggestions on how to further improve the user interface. The results imply that perceived trustworthiness should be considered as a benchmark for evaluating range-information user interfaces and that users should have flexible options to adjust the parameters of the range estimation system.

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https://doi.org/10.1177/10711813241268507
Wang JTu RWang AHe D(2024)Trust in Range Estimation System in Battery Electric Vehicles–A Mixed ApproachIEEE Transactions on Human-Machine Systems10.1109/THMS.2024.338111654:3(250-259)Online publication date: Jun-2024
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Index Terms

Advancing electric vehicle range displays for enhanced user experience: the relevance of trust and adaptability
1. Human-centered computing

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Published In

cover image ACM Other conferences

AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2015

338 pages

ISBN:9781450337366

DOI:10.1145/2799250

General Chair:
Gary Burnett
University of Nottingham, UK
,
Program Chairs:
Joe Gabbard
Virginia Tech
,
Paul Green
University of Michigan Transportation Research Institute (UMTRI)
,
Sebastian Osswald
Technische Universitat Munchen (TUM), Germany
,
Publications Chairs:
Ayse Eren,
Vicki Antrobus

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2015

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German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety

Conference

AutomotiveUI '15

AutomotiveUI '15: The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 1 - 3, 2015

Nottingham, United Kingdom

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AutomotiveUI '15 Paper Acceptance Rate 38 of 80 submissions, 48%;

Overall Acceptance Rate 248 of 566 submissions, 44%

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He QWang JHe D(2024)The Influence of Task and Group Disparities Over Users’ Attitudes Toward Using Large Language Models for PsychotherapyProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/1071181324126850768:1(1147-1152)Online publication date: 11-Oct-2024
https://doi.org/10.1177/10711813241268507
Wang JTu RWang AHe D(2024)Trust in Range Estimation System in Battery Electric Vehicles–A Mixed ApproachIEEE Transactions on Human-Machine Systems10.1109/THMS.2024.338111654:3(250-259)Online publication date: Jun-2024
https://doi.org/10.1109/THMS.2024.3381116
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Rani GSaini D(2023)Need of Integrated Regional Planning Approach for the Decentralisation and Optimisation of Renewable Energy Based Electric Vehicle Infrastructure: A Comprehensive VisualisationSustainability10.3390/su15181331515:18(13315)Online publication date: 5-Sep-2023
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Khiari JOlaverri-Monreal C(2022)Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles2022 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV51971.2022.9827458(1005-1010)Online publication date: 5-Jun-2022
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