Developers’ Information Needs during Test Drives with Automated Vehicles in Real Traffic: A Focus Group Study
Authors: 
Franziska Henze, Natalie Magdalena Stasinski, Dennis Fassbender, Christoph StillerAuthors Info & Claims
Franziska Henze, Natalie Magdalena Stasinski, Dennis Fassbender, Christoph StillerAuthors Info & ClaimsPages 81 - 85
Abstract
So far, user interfaces are mainly developed for customers using highly automated driving functions, but little is known about the requirements on human machine interfaces for function developers. However, good development interfaces are important for efficient validating in real traffic test drives. Therefore, we present a focus group study with software developers of such functions to characterize their needs. Firstly, we identify typical situations where the automated vehicle executes an action other than the one expected, and, secondly, we gather developers’ requests for information to increase the traceability of driving decisions in general. We found that developers perceive actions involving lateral motion as being more non-transparent than with longitudinal motion and therefore identify a need for a more detailed explanation of these. Additionally, explanations should include more environmental features to help understand the reasons behind an action, and at the same time be tailored to the developers’ information interests.
References
[1]
Mary Dallas Allen. 2014. Telephone focus groups: Strengths, challenges, and strategies for success. Qualitative Social Work: Research and Practice 13, 4 (2014), 571–583. https://doi.org/10.1177/1473325013499060
[2]
Angelos Amditis, Luisa Andreone, Katia Pagle, Gustav Markkula, Enrica Deregibus, Maria Romera Rue, Francesco Bellotti, Andreas Engelsberg, Rino Brouwer, Björn Peters, and Alessandro de Gloria. 2010. Towards the Automotive HMI of the Future: Overview of the AIDE-Integrated Project Results. IEEE Transactions on Intelligent Transportation Systems 11, 3(2010), 567–578. https://doi.org/10.1109/TITS.2010.2048751
[3]
Matthias Beggiato, Franziska Hartwicht, Katja Schleinitz, Josef Krems, Ina Othersen, and Ina Petermann-Stock. 2015. What would drivers like to know during automated driving? Information needs at different levels of automation.7th conference on driver assistance, Munich, 25.-26.11.2015 (2015). https://doi.org/10.13140/RG.2.1.2462.6007
[4]
Halil Beglerovic, Steffen Metzner, and Martin Horn. 2018. Challenges for the Validation and Testing of Automated Driving Functions. In Advanced Microsystems for Automotive Applications 2017, Carolin Zachäus, Beate Müller, and Gereon Meyer(Eds.). Springer International Publishing, Cham, 179–187. https://doi.org/10.1007/978-3-319-66972-4_15
[5]
Hennie Boeije. 2002. A Purposeful Approach to the Constant Comparative Method in the Analysis of Qualitative Interviews. Quality and Quantity 36, 4 (2002), 391–409. https://doi.org/10.1023/A:1020909529486
[6]
Rosanna L. Breen. 2006. A Practical Guide to Focus-Group Research. Journal of Geography in Higher Education 30, 3 (2006), 463–475. https://doi.org/10.1080/03098260600927575
[7]
Elisabeth Brüggen and Pieter Willems. 2009. A Critical Comparison of Offline Focus Groups, Online Focus Groups and E-Delphi. International Journal of Market Research 51, 3 (2009), 363–381. https://doi.org/10.2501/S1470785309200608
[8]
Laurene Claussmann, Marc Revilloud, Dominique Gruyer, and Sebastien Glaser. 2019. A Review of Motion Planning for Highway Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems PP (2019), 1–23. https://doi.org/10.1109/TITS.2019.2913998
[9]
David Gonzalez, Joshue Perez, Vicente Milanes, and Fawzi Nashashibi. 2016. A Review of Motion Planning Techniques for Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems 17, 4(2016), 1135–1145. https://doi.org/10.1109/TITS.2015.2498841
[10]
Christos Katrakazas, Mohammed Quddus, Wen-Hua Chen, and Lipika Deka. 2015. Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions. Transportation Research Part C: Emerging Technologies 60 (2015), 416–442. https://doi.org/10.1016/j.trc.2015.09.011
[11]
Richard A. Krueger and Mary Anne Casey. 2014. Focus Groups. A practical Guide for Applied Research (5 ed.). Sage Publications Inc. (US).
[12]
Margarita Martínez-Díaz and Francesc Soriguera. 2018. Autonomous vehicles: theoretical and practical challenges. Transportation Research Procedia 33 (2018), 275–282. https://doi.org/10.1016/j.trpro.2018.10.103
[13]
Lokanath Mishra. 2016. Focus Group Discussion in Qualitative Research. TechnoLearn: An International Journal of Educational Technology 6, 1(2016), 1. https://doi.org/10.5958/2249-5223.2016.00001.2
[14]
Daniel Omeiza, Helen Webb, Marina Jirotka, and Lars Kunze. 2021. Towards Accountability: Providing Intelligible Explanations in Autonomous Driving. IEEE Intelligent Vehicles Symposium (IV)(2021), 231–237.
[15]
Brian Paden, Michal Cap, Sze Zheng Yong, Dmitry Yershov, and Emilio Frazzoli. 2016. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles. IEEE Transactions on Intelligent Vehicles 1, 1 (2016), 33–55. https://doi.org/10.1109/TIV.2016.2578706
[16]
Katherine E. Ryan, Tysza Gandha, Michael J. Culbertson, and Crystal Carlson. 2014. Focus Group Evidence: Implications for Design and Analysis. American Journal of Evaluation 35, 3 (2014), 328–345. https://doi.org/10.1177/1098214013508300
[17]
Lukas Michael Schmidt, Georgios Kontes, Axel Plinge, and Christopher Mutschler. 2021. Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. IEEE Intelligent Vehicles Symposium (IV)(2021), 171–178.
[18]
Arjan Stoter, Erik Cornelisse, and Simon Dalmolen. 2011. Context-aware prioritization of information: an architecture for real-time in-vehicle information management. 8th European Congress and Exhibition on Intelligent Transport Systems and Services, ITS 2011, ITS(2011).
[19]
Casey Sweet. 2001. Designing and conducting virtual focus groups. Qualitative Market Research: An International Journal 4, 3 (2001), 130–135.
[20]
Lyn Turney and Catherine Pocknee. 2005. Virtual Focus Groups: New Frontiers in Research. International Journal of Qualitative Methods 4, 2 (2005), 32–43.
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September 2021
234 pages
ISBN:9781450386418
DOI:10.1145/3473682
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