Andreas Löcken
Anna-Katharina Frison
Andreas Riener
ABSTRACT
Today’s developments in the automotive industry are moving towards automated driving. At the highest levels, the driver becomes the passenger, which presents a new challenge for human-computer interaction. People not only have to trust in the automated system but are also confronted with increased complexity, as it is often not clear what the automated vehicle is about to do. An ambient light display is one way to give the driver a clearer picture of the car’s intentions and to keep complexity low. We have examined the impact on trust and user experience in more detail using two concepts for an ambient light display. One design provides information about detected potential conflicts in the current trajectory. The other design also highlights the future trajectory. We implemented both concepts as virtual light bars at the bottom of the screens. We evaluated them in a fixed-base driving simulator with 18 participants against each other and a baseline condition without additional information. Our scenario is a fully automated journey (SAE Level 5) through a German town. Although the two concepts do not differ much from each other, only the display showing both information – possible conflicts and future driving route – provided a clear added value for the users.
- Adobe. 2019. Adobe After Effects kaufen | Special Effects und Motion Graphics. Retrieved June 18, 2019 from https://www.adobe.com/de/products/aftereffects.htmlGoogle Scholar
- Adobe. 2019. Adobe Premiere Pro kaufen | Videobearbeitung und Videoproduktion. Retrieved June 18, 2019 from https://www.adobe.com/de/products/premiere.htmlGoogle Scholar
- Anthony L. Baker and Joseph R. Keebler. 2017. Factors Affecting Performance of Human-Automation Teams. In Advances in Human Factors in Robots and Unmanned Systems, Pamela Savage-Knepshield and Jessie Chen (Eds.). Springer International Publishing, Cham, 331–340. https://doi.org/10.1007/978-3-319-41959-6_27Google Scholar
- Johnell O. Brooks, Richard R. Goodenough, Matthew C. Crisler, Nathan D. Klein, Rebecca L. Alley, Beatrice L. Koon, William C. Logan, Jennifer H. Ogle, Richard A. Tyrrell, and Rebekkah F. Wills. 2010. Simulator sickness during driving simulation studies. Accident Analysis & Prevention 42, 3 (2010), 788 – 796. https://doi.org/10.1016/j.aap.2009.04.013Google ScholarCross Ref
- J.K. Caird, W.J. Horrey, and C.J. Edwards. 2001. Effects of Conformal and Nonconformal Vision Enhancement Systems on Older-Driver Performance. Transportation Research Record 1759, 1 (2001), 38–45. https://doi.org/10.3141/1759-05Google ScholarCross Ref
- Oliver Carsten and Marieke H Martens. 2019. How can humans understand their automated cars? HMI principles, problems and solutions. Cognition, Technology & Work 21, 1 (2019), 3–20. https://doi.org/10.1007/s10111-018-0484-0Google ScholarDigital Library
- Cyriel Diels and Jelte E Bos. 2016. Self-driving carsickness. Applied Ergonomics 53(2016), 374 – 382. https://doi.org/10.1016/j.apergo.2015.09.009Google ScholarCross Ref
- Marc Dziennus, Johann Kelsch, and Anna Schieben. 2016. Ambient light based interaction concept for an integrative driver assistance system – a driving simulator study. In Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2015 Annual Conference. 171–182. https://www.hfes-europe.org/wp-content/uploads/2015/12/Dziennus2016.pdfGoogle Scholar
- F. Ekman, M. Johansson, and J. Sochor. 2018. Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design. IEEE Transactions on Human-Machine Systems 48, 1 (2018), 95–101. https://doi.org/10.1109/THMS.2017.2776209Google ScholarCross Ref
- Y. Forster, F. Naujoks, and A. Neukum. 2017. Increasing anthropomorphism and trust in automated driving functions by adding speech output. In 2017 IEEE Intelligent Vehicles Symposium (IV) (Los Angeles, CA). IEEE, 365–372. https://doi.org/10.1109/IVS.2017.7995746Google ScholarCross Ref
- Anna-Katharina Frison, Philipp Wintersberger, and Andreas Riener. 2019. Resurrecting the ghost in the shell: A need-centered development approach for optimizing user experience in highly automated vehicles. Transportation research part F: traffic psychology and behaviour 65 (2019), 439–456. https://doi.org/10.1016/j.trf.2019.08.001Google Scholar
- Anna-Katharina Frison, Philipp Wintersberger, Andreas Riener, Clemens Schartmüller, Linda Ng Boyle, Erika Miller, and Klemens Weigl. 2019. 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 (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3290605.3300374Google ScholarDigital Library
- Tom M Gasser, Clemens Arzt, Mihiar Ayoubi, Arne Bartels, Lutz Bürkle, Jana Eier, Frank Flemisch, Dirk Häcker, Tobias Hesse, Werner Huber, 2013. Legal consequences of an increase in vehicle automation. Technical Report. Bundesanstalt für Straßenwesen. https://bast.opus.hbz-nrw.de/opus45-bast/frontdoor/deliver/index/docId/689/file/Legal_consequences_of_an_increase_in_vehicle_automation.pdfGoogle Scholar
- Science Media Center Germany GmbH. 2017. Mehr Sicherheit durch automatisiertes Fahren?Retrieved June 13, 2019 from https://www.sciencemediacenter.de/fileadmin/user_upload/Fact_Sheets_PDF/Sicherheit-Autonomes-Fahren_SMC-Factsheet_2017-11-06_aktualisiert.pdfGoogle Scholar
- Toni Granollers. 2018. Usability Evaluation with Heuristics, Beyond Nielsen’s List. In ACHI 2018: The Eleventh International Conference on Advances in Computer-Human Interactions (Rome, Italy). IARIA, Wilmington, DE, USA, 60 – 65. https://www.thinkmind.org/articles/achi_2018_4_10_20055.pdfGoogle Scholar
- Kevin Anthony Hoff and Masooda Bashir. 2015. Trust in automation: Integrating empirical evidence on factors that influence trust. Human Factors 57, 3 (2015), 407–434. https://doi.org/10.1177/0018720814547570Google ScholarCross Ref
- 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. https://doi.org/10.1207/S15327566IJCE0401_04Google ScholarCross Ref
- M. Johns, B. Mok, D. Sirkin, N. Gowda, C. Smith, W. Talamonti, and W. Ju. 2016. Exploring shared control in automated driving. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (Christchurch, New Zealand). IEEE, 91–98. https://doi.org/10.1109/HRI.2016.7451738Google ScholarCross Ref
- Juffrizal Karjanto, Nidzamuddin [Md. Yusof], Chao Wang, Jacques Terken, Frank Delbressine, and Matthias Rauterberg. 2018. The effect of peripheral visual feedforward system in enhancing situation awareness and mitigating motion sickness in fully automated driving. Transportation Research Part F: Traffic Psychology and Behaviour 58 (2018), 678 – 692. https://doi.org/10.1016/j.trf.2018.06.046Google ScholarCross Ref
- Sari Kujala, Virpi Roto, Kaisa Väänänen-Vainio-Mattila, Evangelos Karapanos, and Arto Sinnelä. 2011. UX Curve: A method for evaluating long-term user experience. Interacting with Computers 23, 5 (07 2011), 473–483. https://doi.org/10.1016/j.intcom.2011.06.005Google Scholar
- Alexander Kunze, Stephen J. Summerskill, Russell Marshall, and Ashleigh J. Filtness. 2017. Enhancing Driving Safety and User Experience Through Unobtrusive and Function-Specific Feedback. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct(Oldenburg, Germany) (AutomotiveUI ’17). Association for Computing Machinery, New York, NY, USA, 183–189. https://doi.org/10.1145/3131726.3131762Google ScholarDigital Library
- Alexander Kunze, Stephen J. Summerskill, Russell Marshall, and Ashleigh J. Filtness. 2019. Conveying Uncertainties Using Peripheral Awareness Displays in the Context of Automated Driving. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Utrecht, Netherlands) (AutomotiveUI ’19). Association for Computing Machinery, New York, NY, USA, 329–341. https://doi.org/10.1145/3342197.3344537Google ScholarDigital Library
- Florian Laquai, Fabian Chowanetz, and Gerhard Rigoll. 2011. A large-scale LED array to support anticipatory driving. In 2011 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, 2087–2092. https://doi.org/10.1109/ICSMC.2011.6083980Google ScholarCross Ref
- Bettina Laugwitz, Theo Held, and Martin Schrepp. 2008. Construction and Evaluation of a User Experience Questionnaire. HCI and Usability for Education and Work. USAB 2008. Lecture Notes in Computer Science 5298(2008), 63–76. https://doi.org/10.1007%2F978-3-540-89350-9_6Google ScholarDigital Library
- John D Lee and Katrina A See. 2004. Trust in automation: Designing for appropriate reliance. Human factors 46, 1 (2004), 50–80. https://doi.org/10.1518/hfes.46.1.50_30392Google Scholar
- Todd Litman. 2020. Autonomous Vehicle Implementation Predictions: Implications for Transport Planning. Technical Report. Victoria Transport Policy Institute. http://www.vtpi.org/avip.pdfGoogle Scholar
- Andreas Löcken, Wilko Heuten, and Susanne Boll. 2016. AutoAmbiCar: Using Ambient Light to Inform Drivers About Intentions of Their Automated Cars. In Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Ann Arbor, MI, USA) (AutomotiveUI ’16 Adjunct). ACM, New York, NY, USA, 57–62. https://doi.org/10.1145/3004323.3004329Google ScholarDigital Library
- Andreas Löcken, Wilko Heuten, and Susanne Boll. 2016. Enlightening Drivers: A Survey on In-Vehicle Light Displays. In Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Ann Arbor, MI, USA) (Automotive’UI 16). Association for Computing Machinery, New York, NY, USA, 97–104. https://doi.org/10.1145/3003715.3005416Google ScholarDigital Library
- A. Löcken, P. Wintersberger, A. Frison, and A. Riener. 2019. Investigating User Requirements for Communication Between Automated Vehicles and Vulnerable Road Users. In 2019 IEEE Intelligent Vehicles Symposium (IV). IEEE, 879–884. https://doi.org/10.1109/IVS.2019.8814027Google Scholar
- Sascha Mahlke, Diana Rösler, Katharina Seifert, Josef F Krems, and Manfred Thüring. 2007. Evaluation of six night vision enhancement systems: Qualitative and quantitative support for intelligent image processing. Human Factors 49, 3 (2007), 518–531. https://doi.org/10.1518/001872007X200148Google ScholarCross Ref
- Stephanie M. Merritt. 2011. Affective Processes in Human–Automation Interactions. Human Factors 53, 4 (2011), 356–370. https://doi.org/10.1177/0018720811411912Google ScholarCross Ref
- Stephanie M Merritt, Heather Heimbaugh, Jennifer LaChapell, and Deborah Lee. 2013. I trust it, but I don’t know why: Effects of implicit attitudes toward automation on trust in an automated system. Human factors 55, 3 (2013), 520–534. https://doi.org/10.1177/0018720812465081Google Scholar
- Alexander Meschtscherjakov, Christine Döttlinger, Christina Rödel, and Manfred Tscheligi. 2015. ChaseLight: Ambient LED Stripes to Control Driving Speed. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Nottingham, United Kingdom) (AutomotiveUI ’15). Association for Computing Machinery, New York, NY, USA, 212–219. https://doi.org/10.1145/2799250.2799279Google ScholarDigital Library
- Bonnie M. Muir. 1994. Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics 37, 11 (1994), 1905–1922. https://doi.org/10.1080/00140139408964957Google ScholarCross Ref
- Heiko Müller, Andreas Löcken, Wilko Heuten, and Susanne Boll. 2014. Sparkle: An Ambient Light Display for Dynamic off-Screen Points of Interest. In Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational (Helsinki, Finland) (NordiCHI ’14). Association for Computing Machinery, New York, NY, USA, 51–60. https://doi.org/10.1145/2639189.2639205Google ScholarDigital Library
- Raja Parasuraman and Victor Riley. 1997. Humans and automation: Use, misuse, disuse, abuse. Human factors 39, 2 (1997), 230–253. https://doi.org/10.1518/001872097778543886Google Scholar
- Bastian Pfleging, Maurice Rang, and Nora Broy. 2016. Investigating User Needs for Non-Driving-Related Activities during Automated Driving. In Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia (Rovaniemi, Finland) (MUM ’16). Association for Computing Machinery, New York, NY, USA, 91–99. https://doi.org/10.1145/3012709.3012735Google ScholarDigital Library
- Matthias Pfromm, Stephan Cieler, and Ralph Bruder. 2013. Driver assistance via optical information with spatial reference. In 16th international IEEE conference on intelligent transportation systems (ITSC 2013). IEEE, 2006–2011. https://doi.org/10.1109/ITSC.2013.6728524Google ScholarCross Ref
- Ryan Powell. 2019. Trusting Driverless Cars. Retrieved June 15, 2019 from https://design.google/library/trusting-driverless-cars/Google Scholar
- Samantha Reig, Selena Norman, Cecilia G. Morales, Samadrita Das, Aaron Steinfeld, and Jodi Forlizzi. 2018. A Field Study of Pedestrians and Autonomous Vehicles. In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Toronto, ON, Canada) (AutomotiveUI ’18). Association for Computing Machinery, New York, NY, USA, 198–209. https://doi.org/10.1145/3239060.3239064Google ScholarDigital Library
- Andreas Riegler, Philipp Wintersberger, Andreas Riener, and Clemens Holzmann. 2019. Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving. i-com 18, 2 (2019), 127–149. https://doi.org/10.1515/icom-2018-0033Google Scholar
- SAE. 2018. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (J3016_201806). Retrieved June 13, 2019 from https://www.sae.org/standards/content/j3016_201806/Google Scholar
- T. L. Sanders, T. Wixon, K. E. Schafer, J. Y. C. Chen, and P. A. Hancock. 2014. The influence of modality and transparency on trust in human-robot interaction. In 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA). IEEE, 156–159. https://doi.org/10.1109/CogSIMA.2014.6816556Google ScholarCross Ref
- Clemens Schartmüller, Andreas Riener, Philipp Wintersberger, and Anna-Katharina Frison. 2018. Workaholistic: On Balancing Typing- and Handover-Performance in Automated Driving. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (Barcelona, Spain) (MobileHCI ’18). Association for Computing Machinery, New York, NY, USA, Article 16, 12 pages. https://doi.org/10.1145/3229434.3229459Google ScholarDigital Library
- Sandra Trösterer, Martin Wuchse, Christine Döttlinger, Alexander Meschtscherjakov, and Manfred Tscheligi. 2015. Light My Way: Visualizing Shared Gaze in the Car. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications(Nottingham, United Kingdom) (AutomotiveUI ’15). Association for Computing Machinery, New York, NY, USA, 196–203. https://doi.org/10.1145/2799250.2799258Google ScholarDigital Library
- Fabian Utesch. 2014. Unscharfe Warnungen im Kraftfahrzeug. Eignet sich eine LED-Leiste als Anzeige für Fahrerassistenzsysteme?Ph.D. Dissertation. Technischen Universität Carolo-Wilhelmina zu Braunschweig. https://publikationsserver.tu-braunschweig.de/servlets/MCRFileNodeServlet/dbbs_derivate_00035918/Diss_Utesch_Fabian.pdfGoogle Scholar
- Verband der Automobilindustrie e. V.2015. Automatisierung – Von Fahrerassistenzsystemen zum automatisierten Fahren. Technical Report. VDA. https://www.vda.de/de/services/Publikationen/automatisierung.htmlGoogle Scholar
- Philipp Wintersberger, Anna Katharina A.-K. Frison, Andreas Riener, and Tamara Von Sawitzky. 2019. Fostering user acceptance and trust in fully automated vehicles: Evaluating the potential of augmented reality. Presence: Teleoperators and Virtual Environments 27, 1(2019), 46–62. https://doi.org/10.1162/PRES_a_00320Google ScholarDigital Library
- Jens Zihsler, Philipp Hock, Marcel Walch, Kirill Dzuba, Denis Schwager, Patrick Szauer, and Enrico Rukzio. 2016. Carvatar: Increasing Trust in Highly-Automated Driving Through Social Cues. In Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Ann Arbor, MI, USA) (AutomotiveUI ’16 Adjunct). ACM, New York, NY, USA, 9–14. https://doi.org/10.1145/3004323.3004354Google Scholar
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