research-article

Displayed Uncertainty Improves Driving Experience and Behavior: The Case of Range Anxiety in an Electric Car

Authors:

Turgut M. Gür,

Martin SteinertAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Pages 2201 - 2210

https://doi.org/10.1145/2702123.2702479

Published: 18 April 2015 Publication History

Abstract

We explore the impact of the displayed precision of instrumentation estimates of range and state-of-charge on drivers' attitudes towards an all-electric vehicle (EV), on their driving experience, and driving behavior under varying conditions of resource availability. Participants (N=73) completed a 19-mile long drive through highway, rural town and mountain road conditions in an EV that displayed high vs. low remaining range, and gave estimates of that range with high and low information ambiguity. We found that an ambiguous display of range preserved drivers' feelings of trust towards the vehicle, despite encountering situations intended to induce severe range anxiety. Furthermore, compared to drivers facing an unambiguous display of range, drivers presented with an ambiguous range display reported improved driving experience, and exhibited driving behavior better adapted to road and remaining range conditions.

References

[1]

Bunch, D., Bradley, M., Golob, T., Kitamura, R. & Occhiuzzo, G. Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project. In Transportation Research Part A: Policy and Practice 27:3 (1993), 237--253.

[2]

Franke, T., Cocron, P., Bühler, F., Neumann, I., & Krems, J. F. Adapting to the range of an electric vehicle-the relation of experience to subjectively available mobility resources. In Proceedings of the European conference on human centered design for intelligent transport systems, (2012), 95--103.

[3]

Franke, T., Neumann, I., Bühler, F., Cocron, P. & Krems, J., Experiencing range in an electric vehicle: Understanding psychological barriers. In Applied Psychology: An International Review 61 (2012), 368--391.

[4]

Harrison, C., Amento, B., Kuznetsov, S., & Bell, R. Rethinking the progress bar. In Proc. UIST'07, ACM Press (2007), 115--118.

Digital Library

[5]

Jian, J. Y., Bisantz, A. M. and Drury, C. G., Foundations for an empirically determined scale of trust in automated systems. International Journal of Cognitive Ergonomics 4 (2000), 53--71.

[6]

Langer, E. J., & Piper, A. I. The prevention of mindlessness. Journal of Personality and Social Psychology 53, 2 (1987), 280--287.

[7]

Lundström, A. Differentiated Driving Range: Exploring a Solution to the Problems with the Guess-O-Meter in Electric Cars. In Proc. AutomotiveUI 2014, ACM Press (2014), 1--8.

Digital Library

[8]

Lundström, A. & Bogdan, C. (2012) COPE1 -- Taking Control over EV Range. In: In adjunct proc. Automitive-UI 2012. {Online}. 2012 pp. 17--18

[9]

Lundström, A., Bogdan, C., Kis, F., Olsson, I. & Fahlén, L. Enough power to move: dimensions for representing energy availability. In Proc. MobileHCI 2012, ACM Press (2012), 201--210.

Digital Library

[10]

Lee, J. D. & See, K. Trust in automation: Designing for appropriate reliance. In Human Factors: The Journal of the Human Factors and Ergonomics Society 46:1 (2004), 50--80.

[11]

Leshed, G., Velden, T., Rieger, O., Kot, B., & Sengers, P. In-car gps navigation: engagement with and disengagement from the environment. In Proc, CHI 2008, ACM Press (2008), 1675--1684.

Digital Library

[12]

Mallela, V., Ilankumaran, V. & Srinivasa Rao, N. Trends in cardiac pacemaker batteries. In Indian pacing and Electrophysiology Journal 4:4 (2004), 201--212.

[13]

Myers, B. A. (1985). The importance of percent-done progress indicators for computer-human interfaces. In Proc. CHI '85, ACM Press (1985), 11--17.

Digital Library

[14]

Parasuraman, R., & Miller, C. A. Trust and etiquette in high-criticality automated systems. Communications of the ACM 47, 4 (2004), 51--55

Digital Library

[15]

Rahmati, A., Qian, A. & Zhong, L. Understanding human-battery interaction on mobile phones. In Proc. MobileHCI 2007, ACM Press (2007), 265--272.

Digital Library

[16]

Rauh, N., Franke, T., & Krems J. F., Understanding the impact of electric vehicle driving experience on range anxiety. Human Factors (2014), 1--19.

[17]

Reeves, B. & Nass, C. The media equation: How people treat computers, television, and new media like real people and places. CSLI Publications and Cambridge University Press, (1996).

Digital Library

[18]

Russell, J. A., Weiss, A., & Mendelsohn, G. A. Affect grid: a single-item scale of pleasure and arousal. Journal of personality and social psychology 57,3 (1989), 493--502.

[19]

Sheridan, T. B., & Parasuraman, R., Human-Automation Interaction, Reviews of Human Factors and Ergonomics 1 (2005), 89--129

[20]

Strömberg, H., Andersson, P., Almgren, S., Ericsson, J., Karlsson, M., & Nåbo, A. Driver interfaces for electric vehicles. In Proc. AutomotiveUI 2011, ACM Press (2011), 177--184.

Digital Library

[21]

Zhang, Y., Wang, W., Kobayashi, Y. & Shirai, K. Remaining driving range estimation of electric vehicle. In Proc. IEVC 2012. IEEE (2012), 1--7. IEEE.

[22]

Gaver, W. W., Beaver, J. & Benford, S. (2003, April). Ambiguity as a resource for design. In Proc. CHI 2003, ACM Press (2003), 233--240.

Digital Library

Cited By

Wang XHu RXue C(2024)Enhancing User Perception of Reliability in Computer Vision: Uncertainty Visualization for Probability DistributionsSymmetry10.3390/sym1608098616:8(986)Online publication date: 3-Aug-2024
https://doi.org/10.3390/sym16080986
Dcosta JGraul AHasnat S(2024)Understanding Consumer Adoption of Light-Duty Electric Vehicles: An Interdisciplinary Literature ReviewTransportation Research Record: Journal of the Transportation Research Board10.1177/03611981241231962Online publication date: 27-May-2024
https://doi.org/10.1177/03611981241231962
Bremers AFriedman NLee SWu TLaurier EJung MOrtiz JJu W(2024)(Social) Trouble on the Road: Understanding and Addressing Social Discomfort in Shared Car TripsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665580(1-13)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665580
Show More Cited By

Index Terms

Displayed Uncertainty Improves Driving Experience and Behavior: The Case of Range Anxiety in an Electric Car
1. Applied computing
  1. Computers in other domains
  2. Law, social and behavioral sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Differentiated Driving Range: Exploring a Solution to the Problems with the "Guess-O-Meter" in Electric Cars
AutomotiveUI '14: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Electric cars may be an important alternative to combustion engine cars in the process towards a more sustainable transportation system. However, the short and varying driving range communicated by what has become known as the "guess-o-meter" on the ...
Optimizing and Diversifying Electric Vehicle Driving Range for U.S. Drivers

Properly determining the driving range is critical for accurately predicting the sales and social benefits of battery electric vehicles BEVs. This study proposes a framework for optimizing the driving range by minimizing the sum of battery price, ...
Research and Application of Range Anxiety in Electric Vehicle Drivers
IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers

This paper studied the influence of various factors on range anxiety of electric vehicle drivers, and proposed a prediction model of anxiety range based on historical driving data of electric vehicle drivers. The model USES the particle swarm algorithm ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

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].

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Honda R&D Americas

Conference

CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

Acceptance Rates

CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

72
Total Citations
View Citations
1,370
Total Downloads

Downloads (Last 12 months)184
Downloads (Last 6 weeks)16

Reflects downloads up to 11 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Wang XHu RXue C(2024)Enhancing User Perception of Reliability in Computer Vision: Uncertainty Visualization for Probability DistributionsSymmetry10.3390/sym1608098616:8(986)Online publication date: 3-Aug-2024
https://doi.org/10.3390/sym16080986
Dcosta JGraul AHasnat S(2024)Understanding Consumer Adoption of Light-Duty Electric Vehicles: An Interdisciplinary Literature ReviewTransportation Research Record: Journal of the Transportation Research Board10.1177/03611981241231962Online publication date: 27-May-2024
https://doi.org/10.1177/03611981241231962
Bremers AFriedman NLee SWu TLaurier EJung MOrtiz JJu W(2024)(Social) Trouble on the Road: Understanding and Addressing Social Discomfort in Shared Car TripsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665580(1-13)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665580
Routray LShrivastava ASarmah P(2024)Enhancing E-Rickshaw Driving Experiences: Insights from User-Centric EV Dashboards in IndiaIntelligent Human Computer Interaction10.1007/978-3-031-53827-8_31(355-366)Online publication date: 29-Feb-2024
https://doi.org/10.1007/978-3-031-53827-8_31
He XHu Y(2023)Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging TimesWorld Electric Vehicle Journal10.3390/wevj1401002114:1(21)Online publication date: 11-Jan-2023
https://doi.org/10.3390/wevj14010021
Lindberg ESilberberg LNilsson MObaid M(2023)Towards Energy Efficient Driving: Prototyping a Cross-Device Coaching Experience for Electric Car DriversAdjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3581961.3609892(197-202)Online publication date: 18-Sep-2023
https://dl.acm.org/doi/10.1145/3581961.3609892
Ma SSun MMa X(2023)Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human TeachersACM Transactions on Computer-Human Interaction10.1145/357181330:5(1-48)Online publication date: 23-Sep-2023
https://dl.acm.org/doi/10.1145/3571813
Thieme AHanratty MLyons MPalacios JMarques RMorrison CDoherty G(2023)Designing Human-centered AI for Mental Health: Developing Clinically Relevant Applications for Online CBT TreatmentACM Transactions on Computer-Human Interaction10.1145/356475230:2(1-50)Online publication date: 17-Mar-2023
https://dl.acm.org/doi/10.1145/3564752
Lee MCarter SIliev RBravo NVan MDenoue LKimani EFilipowicz AShamma DSieck KHogan CWu C(2023)Understanding People’s Perception and Usage of Plug-in Electric HybridsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581301(1-21)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581301
Piramuthu OCaesar M(2023)Towards efficient charging schemes for free-floating rental BEVs2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)10.1109/COINS57856.2023.10189248(1-6)Online publication date: 23-Jul-2023
https://doi.org/10.1109/COINS57856.2023.10189248
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents