Abstract
As an effective means of transportation, automobiles are always considered a necessity in daily life. With the development of electronic devices, information technology is widely engaged in the cockpit human-machine interface (HMI) design. Reflecting on the literature and user studies, this paper narrates a project-based learning (PBL) practice, including six novel contexts, personas, and user experience (UX) design solutions for car HMI design in future cockpit scenarios. The results demonstrate the intelligent modes in a human-centered design (HCD) process.
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References
Dong, F., Liu, Y.: Policy evolution and effect evaluation of new-energy vehicle industry in China. Resour. Policy 67, 101655 (2020)
Wang, X., Li, Z., Shaikh, R., Ranjha, A.R., Batala, L.K.: Do government subsidies promote financial performance? Fresh evidence from China’s new energy vehicle industry. Sustain. Prod. Consumption 28, 142–153 (2021)
Wen, H., Lee, C.C., Zhou, F.: How does fiscal policy uncertainty affect corporate innovation investment? Evidence from China’s new energy industry. Energy Economics 105, 105767 (2022)
Jung, S., et al.: Effect of touch button interface on in-vehicle information systems usability. Int. J. Hum. Comput. Interact. 37(15), 1404–1422 (2021)
Wang, R., Sell, R., Rassolkin, A., Otto, T., Malayjerdi, E.: Intelligent functions development on autonomous electric vehicle platform. J. Mach. Eng. 20(2), 114–125 (2020). https://doi.org/10.36897/jme/117787
Olaverri-Monreal, C.: Promoting trust in self-driving vehicles. Nat. Electron. 3(6), 292–294 (2020)
Babic, T., Reiterer, H., Haller, M.: Understanding and creating spatial interactions with distant displays enabled by unmodified off-the-shelf smartphones. Multimodal Technol. Interact. 6(10), 94 (2022)
Tan, H., Zhao, X., Yang, J.: Exploring the influence of anxiety, pleasure and subjective knowledge on public acceptance of fully autonomous vehicles. Comput. Hum. Behav. 131, 107187 (2022)
Zhu, Y., Tang, G., Liu, W., Qi, R.: How post 90’s gesture interact with automobile skylight. Int. J. Hum. Comput. Interact. 38(5), 395–405 (2022)
Tan, H., Sun, J., Wenjia, W., Zhu, C.: User experience & usability of driving: a bibliometric analysis of 2000–2019. Int. J. Hum. Comput. Interact. 37(4), 297–307 (2021)
Guerrero-Ibanez, J.A., Zeadally, S., Contreras-Castillo, J.: Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies. IEEE Wirel. Commun. 22(6), 122–128 (2015)
Murali, P.K., Kaboli, M., Dahiya, R.: Intelligent in-vehicle interaction technologies. Adv. Intell. Syst. 4(2), 2100122 (2022)
Oana, J., Ona, A.I.: Assertiveness in self-fulfillment and professional success. Interpersonal dynamics in the didactic relation. Psychology 10(8), 1235–1247 (2019)
Norman, D.: The design of everyday things: revised and expanded edition. Basic Books (2013)
Zhu, D., Gray, C.M., Toombs, A.L., Liu, C., Liu, W.: Building a cross-cultural UX design dual degree. In: Congress of the International Association of Societies of Design Research, pp. 1128–1134 (2022). https://doi.org/10.1007/978-981-19-4472-7_74
Koelle, M., Olsson, T., Mitchell, R., Williamson, J., Boll, S.: What is (un) acceptable? Thoughts on social acceptability in HCI research. Interactions 26(3), 36–40 (2019)
Haritaipan, L., Saijo, M., Mougenot, C.: Impact of technical information in magic-based inspiration tools on novice designers. Int. J. Technol. Des. Educ. 29(5), 1153–1177 (2018). https://doi.org/10.1007/s10798-018-9476-x
Gray, C.M.: Languaging design methods. Design Stud. 78, 101076 (2022)
Desmet, P., Xue, H., Xin, X., Liu, W.: Emotion deep dive for designers: seven propositions that operationalize emotions in design innovation. In: Proceedings of the International Conference on Applied Human Factors and Ergonomics, pp. 24–28 (2022)
Liu, W., Lee, K.P., Gray, C.M., Toombs, A.L., Chen, K.H., Leifer, L.: Transdisciplinary teaching and learning in UX design: a program review and AR case studies. Appl. Sci. 11(22), 10648 (2021)
Liu, W., Byler, E., Leifer, L.: Engineering design entrepreneurship and innovation: transdisciplinary teaching and learning in a global context. In: Marcus, A., Rosenzweig, E. (eds.) HCII 2020. LNCS, vol. 12202, pp. 451–460. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49757-6_33
Zhu, Di., Wang, R., Zhang, Z., Wang, D., Meng, X., Liu, W.: Exploring and reflecting on generation Z interaction qualities and selfie scenario designs. In: Markopoulos, E., Goonetilleke, R.S., Ho, A.G., Luximon, Y. (eds.) AHFE 2021. LNNS, vol. 276, pp. 352–357. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-80094-9_42
Liu, W.: Designing generation Y interactions: the case of YPhone. Virtual Reality Intell. Hardware 4(2), 132–152 (2022)
Ferreira, B., Silva, W., Oliveira, E., Conte, T.: Designing personas with empathy map. In: SEKE, vol. 152 (2015)
Xin, X., et al.: Building up personas by clustering behavior motivation from extreme users. In: International Conference on Human-Computer Interaction, pp. 120–131 (2022). https://doi.org/10.1007/978-3-031-05897-4_9
Visser, F.S., Stappers, P.J., Van der Lugt, R., Sanders, E.B.: Contextmapping: experiences from practice. CoDesign 1(2), 119–149 (2005)
Xin, X., Wang, Y., Liu, N., Yang, W., Dong, H., Liu, W.: Research on in-vehicle haptic interactions as crucial resources for driver perceptions. In: Stephanidis, C., Duffy, V.G., Krömker, H., Fui-Hoon Nah, F., Siau, K., Salvendy, G., Wei, J. (eds.) HCII 2021. LNCS, vol. 13097, pp. 373–388. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-90966-6_27
Xin, X., Wang, Y., Xiang, G., Yang, W., Liu, W.: Effectiveness of multimodal display in navigation situation. In: The Ninth International Symposium of Chinese CHI, pp. 50–62 (2021)
Liu, W., et al.: Designing interactive glazing through an engineering psychology approach: six augmented reality scenarios that envision future car human-machine interface. Virtual Reality Intell. Hardware 5(5), 1–14 (2022)
Lucassen, G., van de Keuken, M., Dalpiaz, F., Brinkkemper, S., Sloof, G.W., Schlingmann, J.: Jobs-to-be-done oriented requirements engineering: a method for defining job stories. In: International Working Conference on Requirements Engineering: Foundation for Software Quality, pp. 227–243 (2018).https://doi.org/10.1007/978-3-319-77243-1_14
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We would like to thank the students in UX Program of MAP at the Faculty of Psychology at Beijing Normal University.
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Cui, S. et al. (2023). Beyond Car Human-Machine Interface (HMI): Mapping Six Intelligent Modes into Future Cockpit Scenarios. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14031. Springer, Cham. https://doi.org/10.1007/978-3-031-35696-4_6
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