Abstract
Multimodal operating systems such as Apple or Android are being integrated into several platforms and devices, increasing users’ connectivity experience. Recently, both operating systems (OS) had been integrated into modern vehicles, extending connectivity possibilities to road transport, providing them with new driving experiences for the user. In the present study we attempt to evaluate, under a holistic scope, the users’ experience with these systems while driving. We have developed a new scale based on a user-centered and cooperative design approach which will be tested for the first time in a two-case study. With this scale, we will assess the main variables that influence the user’s experience when interacting with in-vehicle smartphone integration systems while driving. We hypothesized that the scale will be capable of discriminating between both systems, their tested functions and between users. Despite results seeming to support this hypothesis, further research with wider samples and systems is needed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Khalid, H.M., Helander, M.G.: A framework for affective customer needs in product design. Theoret. Issues Ergon. Sci. 5, 27–42 (2004). doi:10.1080/1463922031000086744
Norman, D.: Interactions. Emot. Des.: Attractive Things Work Better 9(4), 36–42 (2002). doi:10.1145/543434.543435
Norman, D.: Interaction design for automobile interiors (2004). http://www.jnd.org/dn.mss/interaction_des.html. Accessed 21 Nov 2016
Davis, F., Bagozzi, R., Warshaw, P.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. (1989). http://pubsonline.informs.org/doi/abs/10.1287/mnsc.35.8.982
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319 (1989). doi:10.2307/249008
Kahneman, D.: Attention and effort. Am. J. Psychol. 88 (1973). doi:10.2307/1421603
Wickens, C.D.: Multiple resources and mental workload. Hum. Factors 50(3), 449–455 (2008). doi:10.1518/001872008X288394
Lewis, J.R., Sauro, J.: The factor structure of the system usability scale. In: Kurosu, M. (ed.) HCD 2009. LNCS, vol. 5619, pp. 94–103. Springer, Heidelberg (2009). doi:10.1007/978-3-642-02806-9_12
Pauzié, A.: A method to assess the driver mental workload: the driving activity load index (DALI). IET Intell. Transport Syst. 2(4), 315–322 (2008). doi:10.1049/iet-its:20080023
Van Der Laan, J.D., Heino, A., De Waard, D.: A simple procedure for the assessment of acceptance of advanced transport telematics. Transp. Res. Part C: Emerg. Technol. 5(1), 1–10 (1997). doi:10.1016/S0968-090X(96)00025-3
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Perelló, J.R., García, A. (2017). A Case Study of Cooperative Design on Integrated Smart-Car Systems: Assessing Drivers’ Experience. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2017. Lecture Notes in Computer Science(), vol 10451. Springer, Cham. https://doi.org/10.1007/978-3-319-66805-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-66805-5_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66804-8
Online ISBN: 978-3-319-66805-5
eBook Packages: Computer ScienceComputer Science (R0)