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Drivers’ User-interface Information Prioritization in Manual and Autonomous Vehicles

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Abstract

This study investigated what information items should be presented to drivers in future autonomous vehicles by comparing how preferences regarding information differ from those in the current manual-driving environment. A survey of 29 in-vehicle information items was conducted among 156 participants, who drove a virtual indoor simulator in both manual- and autonomous-driving modes. In all, 29 items of in-vehicle information were classified into three tasks. The primary driving task had mobility as its core value, secondary driving tasks were activities that played supportive roles in vehicular movements (e.g., car accident notifications, wipers), and tertiary driving tasks included non-driving activities. The results indicated that drivers place less priority on receiving secondary task-related information and greater priority on tertiary driving task information in the autonomous mode of driving compared to the manual driving environment. Second, females have a higher preference for information in both modes of driving, whereas males demonstrated a higher incremental level for information in the autonomous environment. Third, older drivers and those in their 20s should be given the highest priority in information dissemination. This study is useful as it can provide a basic guideline for designers of user experiences and user interfaces.

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References

  • Andersen, G. J. (2011). Sensory and perceptual factors in the design of driving simulation displays. D. L. Fisher, M. Rizzo, J. Caird, J. D. Lee (Eds.), Handbook of Driving Simulation for Engineering, Medicine, and Psychology. CRC Press. Boca Raton.

    Google Scholar 

  • Borowsky, A., Shinar, D. and Oron-Gilad, T. (2010). Age, skill, and hazard perception in driving. Accident Analysis & Prevention 42, 4, 1240–1249.

    Article  Google Scholar 

  • Broy, N., Alt, F., Schneegass, S. and Pfleging, B. (2014). 3D displays in cars: Exploring the user performance for a stereoscopic instrument cluster. Proc. 6th Int. Conf. Automotive User Interfaces and Interactive Vehicular Applications, 1–9.

  • Broy, N., Guo, M., Schneegass, S., Pfleging, B. and Alt, F. (2015a). Introducing novel technologies in the car: Conducting a real-world study to test 3D dashboards. Proc. 7th Int. Conf. Automotive User Interfaces and Interactive Vehicular Applications. ACM Press. New York. USA, 179–186.

    Google Scholar 

  • Broy, N., Schneegass S., Guo, M., Alt, F. and Schmidt, A. (2015b). Evaluating stereoscopic 3D for automotive user interface in a real-world driving study. Proc. 33rd Annual ACM Conf. Extended Abstracts on Human Factors in Computing Systems, 1717–1722.

  • Burnett, G., Lawson, G., Millen, L. and Pickering, C. (2011). Designing touchpad user-interfaces for vehicles: which tasks are most suitable? Behaviour & Information Technology 30, 3, 403–414.

    Article  Google Scholar 

  • Burns, P. C., Andersson, H. and Ekfjorden, A. (2000). Placing visual displays in vehicles: Where should they go? Proc. Int. Conf. Traffic and Transport Psychology-ICTTP 2000, Berne, Switzerland.

  • Campos, J. L., Bédard, M., Classen, S., Delparte, J. J., Hebert, D. A., Hyde, N., Law, G., Naglie G. and Yung, S. (2017). Guiding framework for driver assessment using driving simulators. Frontiers in Psychology, 8, 1428.

    Article  Google Scholar 

  • Casner, S. M., Hutchins, E. L. and Norman, D. (2016). The challenges of partially automated driving. Communications of the ACM 59, 5, 70–77.

    Article  Google Scholar 

  • Elliott, A. C. and Woodward, W. A. (2007). Statistical analysis quick reference guidebook: With SPSS examples. SAGE Publications. London.

    Book  Google Scholar 

  • González-Iglesias, B., Gomez-Fraguela, J. A. and Luengo-Martin, M. A. (2012). Driving anger and traffic violations: Gender differences. Transportation research part F: traffic psychology 15, 14, 404–412.

    Article  Google Scholar 

  • Green, P. (2001). Variations in task performance between younger and older drivers: UMTRI research on telematics Southfield, MI, USA. Proc. Association for the Advancement of Automotive Medicine Conf. Aging and Driving, South Field, MI, USA.

  • Greenhouse, S. W. and Geisser, S. (1959). On methods in the analysis of profile data. Psychometrika 24, 2, 95–112.

    Article  MathSciNet  MATH  Google Scholar 

  • Hada, H. (1994). Drivers’ visual attention to in-vehicle displays: Effects of display location and road type. Technology Report. UMTRI-94-99.

  • Harvey, C., Stanton, N. A., Pickering, C. A., McDonald, M. and Zheng, P. (2011). In-vehicle information systems to meet the needs of drivers. Int. J. Human-Computer Interaction 27, 6, 505–522.

    Article  Google Scholar 

  • Holstein, T., Wallmyr, M., Wietzke, J. and Land, R. (2015). Current challenges in compositing heterogeneous user interfaces for automotive purposes. Int. Conf. Human Computer Interaction 9170, 2, 531–542. Springer, Cham.

    Google Scholar 

  • Iqbal, S. T., Ju, Y. C. and Horvitz, E. (2010). Cars, calls and cognition: Investigating driving and divided attention. Proc. SIGCHI Conf. Human Factors in Computing Systems. Atlanta, GA, USA, 1281–1290.

  • Jeong, C., Kim, B., Yu, S., Suh, D., Kim, M. and Suh, M. (2013). In-vehicle display HMI safety evaluation using a driving simulator. Int. J. Automotive Technology 14, 6, 987–992.

    Article  Google Scholar 

  • Klauer, S. G., Guo, F., Simons-Morton, B. G., Ouimet, M. C., Lee, S. E. and Dingus, T. A. (2014). Distracted driving and risk of road crashes among novice and experienced drivers. New England J. Medicine 370, 1, 54–59.

    Article  Google Scholar 

  • Knoll, C., Vilimek, R. and Schulze, I. (2014). Developing the HMI of electric vehicles: On the necessity of a broader understanding of automotive user interface engineering. Int. Conf. Design, User Experience, and Usability, 8919, 3, 293–304. Springer, Cham.

    Google Scholar 

  • Kuhl, J., Evans, D., Papelis, Y., Romano, R. and Watson, G. (1995). The Iowa driving simulator: an immersive research environment. Computer 28, 7, 35–41.

    Article  Google Scholar 

  • Kwon, J. Y. and Ju, D. Y. (2018). Interior design of fully autonomous vehicle for emotional experience: Focused on consumer’s consciousness toward in-vehicle activity. Korean J. Science of Emotion and Sensibility 21, 1, 17–34.

    Article  Google Scholar 

  • Lavie, T. and Oron-Gilad, T. (2013). Perceptions of electronic navigation displays. Behaviour and Information Technology 32, 8, 800–823.

    Article  Google Scholar 

  • Lee, J. M. and Ju, D. Y. (2018). Prioritization analysis for contents sensibility evaluation of the future mobility. Korean J. Science of Emotion and Sensibility 21, 1, 3–16.

    Article  Google Scholar 

  • Lee, S. C., Hwangbo, H. and Ji, Y. G. (2016). Perceived visual complexity of in-vehicle information display and its effects on glance behavior and preferences. Int. J. Human-Computer Interaction 32, 8, 654–664.

    Article  Google Scholar 

  • Loehmann, S. and Hausen, D. (2014). Automated driving: Shifting the primary task from the center to the periphery of attention. Workshop Peripheral Interaction: Shaping the Research and Design Space. Conjunction with 32nd SIGCHI Conf. Human Factors in Computing Systems. Toronto, Canada.

  • Mannering, F., Kim, S., Ng, L. and Barfield, W. (1995). Travelers’ preferences for in-vehicle information systems: An exploratory analysis. Transportation Research Part C: Emerging Technologies 3, 6, 339–351.

    Article  Google Scholar 

  • McDowd, J. M., Vercruyssen, M. and Birren, J. E. (1991). Aging, divided attention, and dual-task performance. D. L. Damos, (Ed.), Multiple-task Performance. Taylor & Francis. London.

    Google Scholar 

  • Nachar, N. (2008). The Mann-Whitney U: A test for assessing whether two independent samples come from the same distribution. Tutorials in Quantitative Methods Psychology 4, 1, 13–20.

    Article  Google Scholar 

  • National Conference of State Legislatures: Autonomous self-driving vehicles legislation (2016). http://www.ncsl.org/research/transportation/autonomous-vehicles-legislation.aspx

  • Normark, C. J. (2015). Design and evaluation of a touch-based personalizable in-vehicle user interface. Int. J. Human-Computer Interaction 31, 11, 731–745.

    Article  Google Scholar 

  • Olaverri-Monreal, C., Leshing, C., Trübswetter, N., Schepp, C. A. and Bengler, K. (2013). In-vehicle displays: Driving information prioritization and visualization. IEEE Intelligent Vehicle Symp. (IV), 660–665.

  • Özkan, T. and Lajunen, T. (2006). What causes the differences in driving between young men and women? The effects of gender roles and sex on young drivers’ driving behavior and self-assessment of skills. Transportation Research Part F: Traffic Psychology and Behaviour 9, 4, 269–277.

    Article  Google Scholar 

  • Pfleging, B. and Schmidt, A. (2015). (Non-) Driving-related activities in the car: Defining driver activities for manual and automated driving. Workshop on Experiencing Autonomous Vehicles: Crossing the Boundaries between a Drive and A Ride at SIGCHI 2015, Seoul, South Korea.

  • Reed, M. P. and Green, P. A. (1999). Comparison of driving performance on-road and in a low-cost simulator using a concurrent telephone dialling task. Ergonomics 42, 8, 1015–1037.

    Article  Google Scholar 

  • Reimer, B., Pettinato, A., Fridman, L., Lee, J., Mehler, B., Seppelt, B., Park, J. and Iagnemma, K. (2016). Behavioral impact of drivers’ roles in automated driving. Proc. 8th Int. Conf. Automotive User Interfaces and Interactive Vehicular Applications. ACM. 217–224.

  • Regan, M. A., Lee, J. D. and Young, K. L. (Eds.) (2009). Driver distraction: Theory, effects, and mitigation. CRC Press. Boca Raton.

    Google Scholar 

  • Rhodes, N. and Pivik, K. (2011). Age and gender differences in risky driving: The roles of positive affect and risk perception. Accident Analysis & Prevention 43, 3, 923–931.

    Article  Google Scholar 

  • Rogers, W. A. and Fisk, A. D. (2001). Understanding the role of attention in cognitive aging research. J. E. Birren and K. W. Schaie (Eds.), Handbook of the Psychology of Aging. Elsevier Science. Oxford.

    Google Scholar 

  • Roy, M. M. and Liersch, M. J. (2013). I am a better driver than you think: Examining self-enhancement for driving ability. J. Applied Social Psychology 43, 8, 1648–1659.

    Article  Google Scholar 

  • Rümelin, S. and Butz, A. (2013). How to make large touch screens usable while driving. Proc. 5th Int. Conf. Automotive User Interfaces and Interactive Vehicular Applications, 48–55.

  • Smith, B. W. (2013). http://cyberlaw.stanford.edu/loda

  • Son, J., Reimer, B., Mehler, B. L., Pohlmeyer, A. E., Godfrey, K. M., Orszulak, J. J., Long, J., Kim, M. H. Lee, Y. T. and Coughlin, J. F. (2010). Age and cross-cultural comparison of drivers’ cognitive workload and performance in simulated urban driving. Int. J. Automotive Technology 11, 4, 533–539.

    Article  Google Scholar 

  • Sonnenberg, J. (2010). Service and user interface transfer from nomadic devices to car infotainment systems. Proc. 2nd Int. Con. Automotive User Interfaces and Interactive Vehicular Applications, 162–165.

  • Stevens, A., Burnett, G. and Horberry, T. (2010). A reference level for assessing the acceptable visual demand of in-vehicle information systems. Behaviour & Information Technology 29, 5, 527–540.

    Article  Google Scholar 

  • Taheri, S. M., Matsushita, K. and Sasaki, M. (2017). Development of a driving simulator with analyzing driver’s characteristics based on a virtual reality head mounted display. J. Transport Technologies 7, 3, 351–366.

    Article  Google Scholar 

  • Tannen, D. (1991). You Just Don’t Understand: Women and Men in Conversation. Virago. London.

  • Tönnis, M., Broy, V. and Klinker, G. (2006). A survey of challenges related to the design of 3D user interfaces for car drivers. Proc. IEEE Conf. Virtual Reality, 127–134.

  • Vernon, E. K., Babulal, G. M., Head, D. M., Carr, D. B., Ghoshal, N., Barco, P. P., Morris, J. C. and Roe, C. M. (2015). Adults 65 and older use potentially distracting electronic devices while driving. J. American Geriatrics Society 63, 6, 1251–1254.

    Article  Google Scholar 

  • Viita, D. and Muir, A. (2013). Exploring comfortable and acceptable text sizes for in-vehicle displays. Proc. 5th Int. Conf. Automotive User Interfaces and Interactive Vehicular Applications, 232–236.

  • Wittmann, M., Kiss, M., Gugg, P., Steffen, A., Fink, M., Pöppel, E. and Kamiya, H. (2006). Effects of display position of a visual in-vehicle task on simulated driving. Applied Ergonomics 37, 2, 187–199.

    Article  Google Scholar 

  • Yang, J. H., Choi, S. Y. and Park, K. (2018). Development of an operability evaluation framework for remotely controlled ground combat vehicles in a simulated environment. Int. J. Automotive Technology 19, 5, 915–922.

    Article  Google Scholar 

  • Yang, J. and Coughlin, J. F. (2014). In-vehicle technology for self-driving cars: Advantages and challenges for aging drivers. Int. J. Automotive Technology 15, 2, 333–340.

    Article  Google Scholar 

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Acknowledgement

This work was supported by Korea Creative Content Agency (KOCCA), grant funded by the Korea government (MCST) (No. R2017030009, The development of infotainment contents and interaction for space of movement). This work was also supported by the Technology Innovation Program (10079996, Development of HVI technology for autonomous vehicle driver status monitoring and situation detection), funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).

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Authors and Affiliations

  1. Yenisei Institute of Convergence Technology, Yonsei University, Incheon, 21983, Korea

    Jung Min Lee, Su Wan Park & Da Young Ju

  2. College of Computing, Hanyang University, Ansan, 15588, Korea

    Su Wan Park & Da Young Ju

  3. Graduate School of Techno Design, Kookmin University, Seoul, 02707, Korea

    Da Young Ju

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  1. Jung Min Lee
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Correspondence to Da Young Ju.

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Lee, J.M., Park, S.W. & Ju, D.Y. Drivers’ User-interface Information Prioritization in Manual and Autonomous Vehicles. Int.J Automot. Technol. 21, 1355–1367 (2020). https://doi.org/10.1007/s12239-020-0128-2

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