Using augmented video to test in-car user experiences of context analog HUDs

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Alessandro Soro
  • Andry Rakotonirainy
  • Ronald Schroeter
  • Sabine Wollstädter

Automotive interactive technologies represent an exemplar challenge for user experience (UX) designers, as the concerns for aesthetics, functionality and usability add up to the compelling issues of safety and cognitive demand. This extended abstract presents a methodology for the user-centred creation and evaluation of novel in-car applications, involving real users in realistic use settings. As a case study, we present the methodologies of an ideation workshop in a simulated environment and the evaluation of six design idea prototypes for in-vehicle head up display (HUD) applications using a semi-naturalistic drive. Both methods rely on video recordings of real traffic situations that the users are familiar with and/or experienced themselves. The extended abstract presents experiences and results from the evaluation and reflection on our methods.

Original languageEnglish
Title of host publicationAutomotiveUI 2014 - 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, in Cooperation with ACM SIGCHI - Adjunct Proceedings
Number of pages6
PublisherAssociation for Computing Machinery, Inc
Publication date17.09.2014
Pages105-110
ISBN (electronic)9781450307253
DOIs
Publication statusPublished - 17.09.2014
Event6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications – AutomotiveUI 2014 - Universität von Washington Seattle, Seattle, United States
Duration: 17.09.201419.09.2014
Conference number: 6
https://www.auto-ui.org/14/

    Research areas

  • Automotive user interfaces, Head up display, User centred design, User experience
  • Business psychology

DOI

Recently viewed

Publications

  1. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  2. Advances in Dynamics, Optimization and Computation
  3. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  4. Data-Driven flood detection using neural networks
  5. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  6. Global temporal typing patterns in foreign language writing
  7. Optimized neural networks for modeling of loudspeaker directivity diagrams
  8. Passive Peak Voltage Sensor for Multiple Sending Coils Inductive Power Transmission System
  9. Model-based logistic controlling of converging material flows
  10. An evaluation of BPR methodologies adopting NIMSAD: A systematic framework for understanding and evaluating methodologies
  11. Exploiting linear partial information for optimal use of forecasts. With an application to U.S. economic policy
  12. Gain Scheduling Controller for Improving Level Control Performance
  13. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  14. Microstructural development of as-cast AM50 during Constrained Friction Processing: grain refinement and influence of process parameters
  15. Four Methods to Distinguish between Fractal Dimensions in Time Series through Recurrence Quantification Analysis
  16. Control of the inverse pendulum based on sliding mode and model predictive control
  17. Eliciting Learner Perceptions of Web 2.0 Tasks through Mixed-Methods Classroom Research
  18. From entity to process
  19. Anomaly detection in formed sheet metals using convolutional autoencoders
  20. A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods
  21. From pre-processing to advanced dynamic modeling of pupil data
  22. A MODEL FOR QUANTIFICATION OF SOFTWARE COMPLEXITY
  23. Failure to Learn From Failure Is Mitigated by Loss-Framing and Corrective Feedback
  24. Continuous 3D scanning mode using servomotors instead of stepping motors in dynamic laser triangulation
  25. Complex problem solving and intelligence
  26. A decoupled MPC using a geometric approach and feedforward action for motion control in robotino
  27. Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction
  28. Multi-view learning with dependent views
  29. A Control Scheme for PMSMs using Model Predictive Control and a Feedforward Action in the Presence of Saturated Inputs
  30. The role of reading time complexity and reading speed in text comprehension