personalDash: First Steps Towards User-controlled Personalization of 3D Dashboards with Mobile Devices

ABSTRACT

In the sharing-economy, users do not necessarily own a car but use commercial services to rent a car according to their needs, requirements, and liking. To provide the best driving experience and safety, it is necessary that they understand the car and its functionality. Assuming that future vehicles will facilitate mostly screens for information presentation, a possible way to foster this understanding is by remote user-controlled dashboard personalization. By that, users can design a layout according to their individual preferences prior to the drive and by that, use a familiar looking dashboard. Main contributions of this work are (1) first design guidelines for mobile applications allowing personalization of dashboards and (2) information on users views regarding dashboard personalization. Results of a design workshop with usability experts and a follow-up usability study show that user-controlled personalization has potential and our design guidelines provide a valid foundation for future research.

References

1. Stewart Birrell, Mark Young, Neville Stanton, and Paul Jennings. 2017. Using Adaptive Interfaces to Encourage Smart Driving and Their Effect on Driver Workload. In Advances in Human Aspects of Transportation. 31--43.
2. Nora Broy. 2016. Stereoscopic 3D User Interfaces: Exploring the Potentials and Risks of 3D Displays in Cars. Dissertation. Universität Stuttgart.
3. Riccardo Coppola, Maurizio Morisio, and Politecnico Torino. 2016. Connected Car: Technologies, Issues, Future Trends. Comput. Surveys 49, 3 (2016), 1--36.
4. Leah Findlater and Joanna McGrenere. 2004. A Comparison of Static, Adaptive, and Adaptable Menus. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '04). ACM, New York, NY, USA, 89--96.
5. S. R. Garzon. 2012. Intelligent In-Car-Infotainment Systems: A Contextual Personalized Approach. In 2012 Eighth International Conference on Intelligent Environments. 315--318.
6. Andreas Heigemeyr and Andreas Harrer. 2014. Information Management for Adaptive Automotive Human Machine Interfaces. Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (2014), 1--8.
7. Martin Jentsch, Patrick Roßner, Alexander Missbach, and Angelika C Bullinger. 2015. Adaptivität oder Adaptierbarkeit im Fahrzeug -- Leitfaden und Konzepte zur optimalen Fahrerunterstützung. (2015).
8. E. Martin and S. Shaheen. 2015. The impact of carsharing on household vehicle ownership. ACCESS Magazine 38 (1) (2015).
9. Joanna McGrenere, Ronald M. Baecker, and Kellogg S. Booth. 2007. A Field Evaluation of an Adaptable Two-interface Design for Feature-rich Software. ACM Trans. Comput.-Hum. Interact. 14, 1, Article 3 (May 2007).
10. E Petersen, Y Zhang, and A Darwiche. 2016. Modeling Car Sharing and Its Impact on Auto Ownership: Evidence from Vancouver and Seattle. In TAC 2016: Efficient Transportation - Managing the Demand - 2016 Conference and Exhibition of the Transportation Association of Canada. https://trid.trb.org/view/1434888
11. Bernhard Preim and Raimund Dachselt. 2015. Interaktive Systeme: Band 2: User Interface Engineering, 3D-lnteraktion, Natural User Interfaces. eXamen.press, Vol. XXXIII. Springer Berlin Heidelberg, Berlin, Heidelberg. 81--87 pages.
12. Jóhannes Ingi Árnason, Jannik Jepsen, Allan Koudal, Michael Rosendahl Schmidt, and Stefania Serafin. 2014. Volvo intelligent news: A context aware multi modal proactive recommender system for in-vehicle use. Pervasive and Mobile Computing 14 (2014), 95--111. Special Issue on Pervasive Education Special Issue on The Social Car: Socially-inspired Mechanisms for Future Mobility Services.

Index Terms

• Human-centered computing

  • Human computer interaction (HCI)

    • HCI design and evaluation methods

      • Usability testing

    • Interaction paradigms

      • Graphical user interfaces

      • Mixed / augmented reality

  • Interaction design

    • Interaction design process and methods

      • User centered design