Abstract
Electric cars (EVs) are a promising alternative to combustion engine cars to lower emissions and fossil fuel dependencies. On the downside, in comparison to internal combustion engine cars (ICE), the user experience (UX) of EVs is seriously compromised due to shorter and more varied driving range depending on driving style other context of use. A further complication is that recovering from unexpectedly low battery levels is tedious due to long charging times. This causes range stress among drivers and research has highlighted a need to improve the information and tools available in order for drivers to better understand range-influencing factors and estimations, leading to increased reliability, and trust in the information. This currently leads to poor UX that may shadow all the benefits and other important environmental and experiential qualities of electric cars. In this chapter, we will provide an introduction to the subject and go through some of our studies and key lessons that have emerged from our research. In particular, we have come to the realisation that we need to energy-empower electric car drivers in order for them to be able to conceptualise how energy is intertwined with their actions and behaviour while driving. This is important, as current tools fail to provide such empowerment, causing unnecessary surprises and worries among the drivers who call the standard tool available in the electric car for the ‘guess-o-meter’. Through our designs and discussion we demonstrate how some aspects might be addressed to energy empower electric car drivers.
This chapter is based on Lundströms Ph.D. thesis (Lundström 2016) and a number of research papers referenced in the text.
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References
Birrell, S. A., Mcgordon, A., & Jennings, P. A. (2014). Defining the accuracy of real-world range estimations of an electric vehicle. In: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 2590–2595).
Bühler, F., Franke, T., Cocron, P., & Schleinitz, K. (2014). Driving an EV with no opportunity to charge at home—is this acceptable? In: Proceedings of the Human Factors and Ergonomics Society Europe (pp. 369–379).
Carroll, S., & Walsh, C. (2010). The smart move trial: Description and initial results. Centre of Excellence for Low Carbon and Fuel Cell Technologies Report.
Cedersund, H.-Å., & Lewin, C. (2005). Män och kvinnor i trafiken: en litteraturstudie. VTI Statens väg- och transportforskningsinstitut.
Chang, W., Lukasiewycz, M., Steinhorst, S., & Chakraborty, S. (2013). Dimensioning and configuration of EES systems for electric vehicles with boundary-conditioned adaptive scalarization. In: Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (pp. 1–10). IEEE Press.
Demestichas, K., Adamopoulou, E., & Masikos, M., et al. (2012). Advanced driver assistance system supporting routing and navigation for fully electric vehicles. In: Advanced Microsystems for Automotive Applications (pp. 197–206). Springer.
Eberle, D. U., & von Helmolt, D. R. (2010). Sustainable transportation based on electric vehicle concepts: a brief overview. Energy & Environmental Science, 3, 689–699.
El-Kady, M. F., & Kaner, R. B. (2013). Scalable fabrication of high-power graphene micro-supercapacitors for flexible and on-chip energy storage. Nature Communications, 4, 1475. doi:10.1038/ncomms2446.
Franke, T. (2012). 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 Centred Design for Intelligent Transport Systems, Valencia Spain (pp. 95–103).
Franke, T., & Krems, J. F. (2013). What drives range preferences in electric vehicle users? Transport Policy, 30, 56–62. doi:10.1016/j.tranpol.2013.07.005.
Franke, T., Neumann, I., & Bühler, F. (2012). Experiencing range in an electric vehicle: Understanding psychological barriers. Applied Psychology, 61, 368–391.
Franke, T., Rauh, N., & Krems, J. F. (2015). Individual differences in BEV drivers’ range stress during first encounter of a critical range situation. Applied Ergonomics, 1–8. doi:10.1016/j.apergo.2015.09.010.
Franke, T., Trantow, M., & Günther, M., et al. (2015). Advancing electric vehicle range displays for enhanced user experience—the relevance of trust and adaptability. In: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’15) (pp. 249–256). ACM.
Hoff, K. A., & Bashir, M. (2015). Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust. Human Factors: The Journal of the Human Factors and Ergonomics Society, 57, 407–434. doi:10.1177/0018720814547570.
Lee, J. D., See, K. A., & City, I. (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors: The Journal of the Human Factors and Ergonomics Society, 46, 50–80.
Lundström, A. (2014). Differentiated driving range: exploring a solution to the problems with the guess-o-meter in electric cars. In: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’14) (pp. 1–8).
Lundström, A. (2016). Designing Energy-Sensitive Interactions: Conceptualising Energy from the Perspective of Electric Cars.
Lundström, A., & Bogdan, C. (2012). COPE1—taking control over EV range. In: Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’12) pp. 17–19.
Lundström, A., & Bogdan, C. (2014). Having a lead foot? exploring how to visualize energy consumption and driving in electric cars. In: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 1–4).
Lundström, A., & Hellström, F. (2015). Getting to know electric cars through an app. In: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’15) (pp. 289–296).
Lundström, A., Bogdan, C., & Kis, F., et al. (2012). Enough power to move: Dimensions for representing energy availability. In: Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 201–210). ACM.
Neaimeh, M., Hill, G. A., Hübner, Y., & Blythe, P. T. (2013). Routing systems to extend the driving range of electric vehicles. Intelligent Transport Systems IET, 7, 327–336. doi:10.1049/iet-its.2013.0122.
Neumann, I., & Krems, J. F. (2015). Battery electric vehicles—implications for the driver interface. Ergonomics, 139, 1–13. doi:10.1080/00140139.2015.1078914.
Nilsson, M. (2011). ELECTRIC VEHICLES: An interview study investigating the phenomenon of range anxiety. Report from Elvire FP7-project. http://www.elvire.eu/IMG/pdf/An_interview_studyinvestigating_the_phenomenon_of_range_anxiety_ELVIRE-2.pdf.
Pikul, J. H., Gang Zhang, H., Cho, J., et al. (2013). High-power lithium ion microbatteries from interdigitated three-dimensional bicontinuous nanoporous electrodes. Nature Communications, 4, 1732. doi:10.1038/ncomms2747.
Strömberg, H., & Andersson, P. (2011). Driver interfaces for electric vehicles. In: Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’11) (pp. 177–184). ACM.
Vikström, H., Davidsson, S., & Höök, M. (2013). Lithium availability and future production outlooks. Applied Energy, 110, 252–266. doi:10.1016/j.apenergy.2013.04.005.
Xu, J., Le, K., Deitermann, A., & Montague, E. (2014). How different types of users develop trust in technology: A qualitative analysis of the antecedents of active and passive user trust in a shared technology. Applied Ergonomics, 45, 1495–1503. doi:10.1016/j.apergo.2014.04.012.
Acknowledgements
This project has been funded by StandUp for Energy and the Swedish Energy Agency (37054-1). We would also like to thank our colleagues Hanna Hasselquist, Filip Kis, Lennart Fahlén, Maria Klingegård, and Ingvar Ohlson, as well as, our students John Turesson, Daniel Molin, Fredrik Hellström, Max Roth, Luan Xueyang for all their contributions to our work.
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Lundström, A., Bogdan, C. (2017). Design to Support Energy Management for Electric Car Drivers. In: Meixner, G., Müller, C. (eds) Automotive User Interfaces. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-49448-7_5
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DOI: https://doi.org/10.1007/978-3-319-49448-7_5
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