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ATHENA: supporting UX of conditionally automated driving with natural language reliability displays

Published: 21 September 2019 Publication History

Abstract

Research on conditionally automated (SAE L3) vehicles usually addresses safety issues in the context of Take-Over Requests. However, little knowledge is available on how the mere possibility of upcoming control transfers affects drivers' user experience. To learn more about this problem, we conducted a focus group discussion. Results suggest that the psychological needs of security, autonomy, competence, and stimulation are not properly satisfied in SAE L3 driving. To counteract, we developed a natural language reliability display (called "ATHENA"), aiming at satisfying these needs in different driving situations. First results from a driving simulator study (N=18) indicate that ATHENA, although not making drivers feel more autonomous, positively influenced their subjective feeling of safety while reducing negative affect. We conclude this work by pointing out the potential of natural language reliability displays for future SAE L3 vehicles.

References

[1]
Johannes Beller, Matthias Heesen, and Mark Vollrath. 2013. Improving the driver-automation interaction: An approach using automation uncertainty. Human Factors 55, 6 (2013), 1130--1141.
[2]
Shadan Sadeghian Borojeni, Susanne C J Boll, Wilko Heuten, Heinrich H Bültho, and Lewis Chuang. 2018. Feel the Movement: Real Motion Influences Responses to Take-over Requests in Highly Automated Vehicles. April (2018), 1--13.
[3]
Michael Braun, Anja Mainz, Ronee Chadowitz, Bastian Pfleging, and Florian Alt. 2019. At your service: Designing voice assistant personalities to improve automotive user interfaces. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 40.
[4]
Verena Distler, Carine Lallemand, and Thierry Bellet. 2018. Acceptability and Acceptance of Autonomous Mobility on Demand: The Impact of an Immersive Experience. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 612.
[5]
Alexander Eriksson and Neville A Stanton. 2017. Takeover time in highly automated vehicles: noncritical transitions to and from manual control. Human factors 59, 4 (2017), 689--705.
[6]
Anna-Katharina Frison, Philipp Wintersberger, Tianjia Liu, and Andreas Riener. 2019a. Why do you like to drive automated?: a context-dependent analysis of highly automated driving to elaborate requirements for intelligent user interfaces. In Proceedings of the 24th International Conference on Intelligent User Interfaces. ACM, 528--537.
[7]
Anna-Katharina Frison, Philipp Wintersberger, Andreas Riener, Clemens Schartmüller, Linda Ng Boyle, Erika Miller, and Klemens Weigl. 2019b. In UX We Trust: Investigation of Aesthetics and Usability of Driver-Vehicle Interfaces and Their Impact on the Perception of Automated Driving. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 144.
[8]
Christian Gold, Moritz Körber, Christoph Hohenberger, David Lechner, and Klaus Bengler. 2015. Trust in automation-Before and after the experience of take-over scenarios in a highly automated vehicle. Procedia Manufacturing 3 (2015), 3025--3032.
[9]
Christian Gold, Moritz Körber, David Lechner, and Klaus Bengler. 2016. Taking over control from highly automated vehicles in complex traffic situations: the role of traffic density. Human factors 58, 4 (2016), 642--652.
[10]
Renate Haeuslschmid, Max von Buelow, Bastian Pfleging, and Andreas Butz. 2017. SupportingTrust in Autonomous Driving. In Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, 319--329.
[11]
Marc Hassenzahl, Michael Burmester, and Franz Koller. 2003. AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualitaet. In Mensch & Computer 2003. Springer, 187--196.
[12]
Marc Hassenzahl, Sarah Diefenbach, and Anja Göritz. 2010. Needs, affect, and interactive products-Facets of user experience. Interacting with computers 22, 5 (2010), 353--362.
[13]
Marc Hassenzahl, Annika Wiklund-Engblom, Anette Bengs, Susanne Hägglund, and Sarah Diefenbach. 2015. Experience-oriented and product-oriented evaluation: psychological need fulfillment, positive affect, and product perception. International journal of human-computer interaction 31, 8 (2015), 530--544.
[14]
Tove Helldin, Göran Falkman, Maria Riveiro, and Staffan Davidsson. 2013. Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. In Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, 210--217.
[15]
Sebastian Hergeth, Lutz Lorenz, and Josef F Krems. 2017. Prior familiarization with takeover requests affects drivers' takeover performance and automation trust. Human factors 59, 3 (2017), 457--470.
[16]
International SAE and On-Road Automated Driving (ORAD) Committee. 2014. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems (J3016 Ground Vehicle Standard). SAE International 2014-01 (2014). https://saemobilus.sae.org/content/J3016
[17]
Jiun-Yin Jian, Ann M Bisantz, and Colin G Drury. 2000. Foundations for an empirically determined scale of trust in automated systems. International Journal of Cognitive Ergonomics 4, 1 (2000), 53--71.
[18]
Carine Lallemand. 1986. DOCTEUR DE L'UNIVERSITÉ DU LUXEMBOURG EN PSYCHOLOGIE. Ph.D. Dissertation. Université Paul Sabatier.
[19]
Jae-Gil Lee, Ki Joon Kim, Sangwon Lee, and Dong-Hee Shin. 2015. Can Autonomous Vehicles Be Safe and Trustworthy? Effects of Appearance and Autonomy of Unmanned Driving Systems. International Journal of Human-Computer Interaction 31, 10 (2015), 682--691.
[20]
Michal Luria. 2018. Designing robot personality based on fictional sidekick characters. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. ACM, 307--308.
[21]
Roderick McCall, Fintan McGee, Alexander Meschtscherjakov, Nicolas Louveton, and Thomas Engel. 2016. Towards A Taxonomy of Autonomous Vehicle Handover Situations. In Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Automotive'UI 16. ACM Press, New York, New York, USA, 193--200.
[22]
Brittany E Noah, Thomas M Gable, Shao-Yu Chen, Shruti Singh, and Bruce N Walker. 2017a. Development and preliminary evaluation of reliability displays for automated lane keeping. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, 202--208.
[23]
Brittany E. Noah, Philipp Wintersberger, Alexander G. Mirnig, Shailie Thakkar, Fei Yan, Thomas M. Gable, Johannes Kraus, and Roderick McCall. 2017b. First Workshop on Trust in the Age of Automated Driving. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (AutomotiveUI '17). ACM, New York, NY, USA, 15--21.
[24]
Ioannis Politis, Stephen Brewster, and Frank Pollick. 2015. Language-based multimodal displays for the handover of control in autonomous cars. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, 3--10.
[25]
Jonas Radlmayr, Christian Gold, Lutz Lorenz, Mehdi Farid, and Klaus Bengler. 2014. How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58, 1 (2014), 2063--2067.
[26]
Kennon M Sheldon, Andrew J Elliot, Youngmee Kim, and Tim Kasser. 2001. What is satisfying about satisfying events? Testing 10 candidate psychological needs. Journal of personality and social psychology 80, 2 (2001), 325.
[27]
SAE Society of Automotive Engineers. 2018. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (J3016 Ground Vehicle Standard).
[28]
David Watson, Lee Anna Clark, and Auke Tellegen. 1988. Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of personality and social psychology 54, 6 (1988), 1063.
[29]
Katharina Wiedemann, Frederik Naujoks, Johanna Wörle, Ramona Kenntner-Mabiala, Yvonne Kaussner, and Alexandra Neukum. 2018. Effect of different alcohol levels on take-over performance in conditionally automated driving. Accident analysis & prevention 115 (2018), 89--97.
[30]
Philipp Wintersberger, Paul Green, and Andreas Riener. 2016. Am I Driving or Are You are Or We Both? A Taxonomy For Handover and Handback in Automated Driving. Power (2016), 1--7.
[31]
Kathrin Zeeb, Axel Buchner, and Michael Schrauf. 2015. What determines the take-over time? An integrated model approach of driver take-over after automated driving. Accident Analysis & Prevention 78 (2015), 212--221.

Cited By

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  • (2024)A Review on the Development of the In-Vehicle Human-Machine Interfaces in Driving Automation: A Design PerspectiveProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675718(160-174)Online publication date: 22-Sep-2024
  • (2024)IVIPAT: an in-vehicle information processing analysis tool to optimize user interaction flowsCognition, Technology and Work10.1007/s10111-024-00752-y26:2(247-265)Online publication date: 1-Jun-2024
  • (2022)User Experience Evaluation of SAE Level 3 Driving on a Test Track2022 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV51971.2022.9827224(1409-1414)Online publication date: 5-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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2019

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Author Tags

  1. SAE J3016
  2. automated driving
  3. experience prototyping
  4. user experience
  5. voice user interface design

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  • Work in progress

Funding Sources

  • German Federal Ministry of Education and Research (BMBF)

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AutomotiveUI '19
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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

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  • (2024)A Review on the Development of the In-Vehicle Human-Machine Interfaces in Driving Automation: A Design PerspectiveProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675718(160-174)Online publication date: 22-Sep-2024
  • (2024)IVIPAT: an in-vehicle information processing analysis tool to optimize user interaction flowsCognition, Technology and Work10.1007/s10111-024-00752-y26:2(247-265)Online publication date: 1-Jun-2024
  • (2022)User Experience Evaluation of SAE Level 3 Driving on a Test Track2022 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV51971.2022.9827224(1409-1414)Online publication date: 5-Jun-2022
  • (2022)When terminology hinders research: the colloquialisms of transitions of control in automated drivingCognition, Technology & Work10.1007/s10111-022-00705-324:3(509-520)Online publication date: 6-Jun-2022
  • (2022)The “DAUX Framework”: A Need-Centered Development Approach to Promote Positive User Experience in the Development of Driving AutomationUser Experience Design in the Era of Automated Driving10.1007/978-3-030-77726-5_10(237-271)Online publication date: 1-Jan-2022
  • (2021)CUI @ Auto-UI: Exploring the Fortunate and Unfortunate Futures of Conversational Automotive User Interfaces13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3479717(186-189)Online publication date: 9-Sep-2021
  • (2020)Where We Come from and Where We Are Going: A Systematic Review of Human Factors Research in Driving AutomationApplied Sciences10.3390/app1024891410:24(8914)Online publication date: 14-Dec-2020
  • (2020)Gaze-based Interaction with Windshield Displays for Automated Driving: Impact of Dwell Time and Feedback Design on Task Performance and Subjective Workload12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409120.3410654(151-160)Online publication date: 21-Sep-2020
  • (2020)Will Deleting History Make Alexa More Trustworthy?Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376551(1-13)Online publication date: 21-Apr-2020

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