Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/1763088.1763122guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Attuning in-car user interfaces to the momentary cognitive load

Published: 22 July 2007 Publication History

Abstract

Cars, trucks and busses are more and more equipped with functions and services that drivers are supposed to operate and understand. The most important developments in this area are the Advanced Driver Assistance Systems (ADAS) and In Vehicle Information Systems (IVIS). In order to make sure that the driver understands and appreciates (comfort) these services and traffic safety is not at risk (distraction, workload), the HMI's (Human Machine Interfaces) of all these functions should be attuned to each other, to the driver, and to the context. For attuning the functions to each other, a HMI platform is needed on which these functions are integrated. For attuning the functions to the driver it is necessary to have knowledge about the momentary state of the driver and of the intentions of the driver at a certain moment. For attuning the functions to the context, it is required to sense the relevant environmental conditions or states. This paper shows that a recent cognitive task load model from process control domain can be applied for the design of adaptive in-car user interfaces. Furthermore, current developments of such interfaces are being discussed.

References

[1]
McKnight, J., McKnight, S.: The effect of cellular phone use upon driver attention. Accidents Analysis and Prevention 25, 259-265 (1991)
[2]
Verwey, W. B.: Evaluating safety effects of traffic congestion information systems. In: Hancock, P. A., Desmond, P. (eds.) Stress, workload and fatigue, pp. 409-425. Erlbaum, Mahwah (2001)
[3]
Neerincx, M. A.: Cognitive task load design: model, methods and examples. In: Hollnagel, E. (ed.) Handbook of Cognitive Task Design (Chapter 13), pp. 283-305. Mahwah, NJ: Lawrence Erlbaum Associates (2003)
[4]
Carroll, J. B.: Human Cognitive Abilities: A Survey of Factor Analytic Studies. Cambridge University Press, New York (1993)
[5]
Korteling, J. E.: Multiple-task Performance and Aging. Doctoral Thesis, University of Groningen, The Netherlands (1994)
[6]
Sit, R. A., Fisk, A. D.: Age-related performance in a multiple task environment. Human Factors 41(1), 26-34 (1999)
[7]
Kramer, A. F., Hahn, S., Gopher, D.: Task coordination and ageing: explorations of executive control processes in the task switching paradigm. Acta. Psychologica 101, 339- 378 (1999)
[8]
Verwey, W. B.: On-line driver workload estimation. Effects of road situation and age on secondary task measures. Ergonomics 43, 187-209 (2000)
[9]
Rouse, W. B.: Adaptive aiding for human computer control. Human Factors 30, 431-443 (1988)
[10]
Levine, J. M., Romashko, T., Fleishman, E. A.: Evaluation of an abilities classification system for integrating and generalizing human performance research findings: an application to vigilance tasks. Journal of Applied Psychology 58(2), 149-157 (1973)
[11]
Parasuraman, R.: Vigilance, monitoring, and search. In: Boff, K. R., Kaufman, L., Thomas, J.P. (eds.) Handbook of perception and human performance, volume 2: cognitive processes and performance, chapter 43, Wiley, New York (1986)
[12]
Scerbo, M. W.: Stress, workload and boredom in vigilance: a problem and an answer. In: Hancock, P. A., Desmond, P. A. (eds.) Stress, Workload and Fatigue, Lawrence Erlbaum Associates, Mahwah, New Jersey (2001)
[13]
Zoutendijk, A., Hoedemaeker, M., Vonk, T., Schuring, O., Willemsen, D., Nelisse, M., van Katwijk, R.: Implementing Multiple Intelligent Services in an Intelligent Vehicle with a Safe Workload Aware HMI. In: Proceedings ITS Madrid (2003)
[14]
Green, P.: Driver distraction, telematics design, and workload managers: Safety issues and solutions. SAE Paper Number 2004-21-0022 (2004)
[15]
Amditis, A., Andreone, L., Polychronopoulos, A., Engstrom, J.: Design and development of an adaptive integrated driver-vehicle interface: overview of the AIDE project. In: Proceedings of the IFAQ conference, Prague (2005)

Cited By

View all
  • (2023)CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the WildACM Transactions on Computer-Human Interaction10.1145/360362230:6(1-23)Online publication date: 25-Sep-2023
  • (2021)Driver Cognitive Load Classification Based on Physiological Data—Case Study 7Intelligent Computing for Interactive System Design10.1145/3447404.3447428(409-429)Online publication date: 23-Feb-2021
  • (2017)Driver Readiness Model for Regulating the Transfer from Automation to Human ControlProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3025199(205-213)Online publication date: 7-Mar-2017
  • Show More Cited By

Index Terms

  1. Attuning in-car user interfaces to the momentary cognitive load
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    FAC'07: Proceedings of the 3rd international conference on Foundations of augmented cognition
    July 2007
    450 pages
    ISBN:9783540732150

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 22 July 2007

    Author Tags

    1. adaptive user interface
    2. central management
    3. in-car services
    4. workload

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 18 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the WildACM Transactions on Computer-Human Interaction10.1145/360362230:6(1-23)Online publication date: 25-Sep-2023
    • (2021)Driver Cognitive Load Classification Based on Physiological Data—Case Study 7Intelligent Computing for Interactive System Design10.1145/3447404.3447428(409-429)Online publication date: 23-Feb-2021
    • (2017)Driver Readiness Model for Regulating the Transfer from Automation to Human ControlProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3025199(205-213)Online publication date: 7-Mar-2017
    • (2011)Formant frequencies under cognitive loadEURASIP Journal on Advances in Signal Processing10.1155/2011/2192532011(1-11)Online publication date: 1-Jan-2011
    • (2008)Effects of Autonomy, Traffic Conditions and Driver Personality Traits on Attitudes and Trust towards In-Vehicle AgentsProceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WIIAT.2008.326(477-482)Online publication date: 9-Dec-2008

    View Options

    View options

    Get Access

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media