Foundations of Augmented Cognition. Neuroergonomics and by Tibor Bosse, Rob Duell, Mark Hoogendoorn, Michel Klein,

By Tibor Bosse, Rob Duell, Mark Hoogendoorn, Michel Klein, Rianne van Lambalgen (auth.), Dylan D. Schmorrow, Ivy V. Estabrooke, Marc Grootjen (eds.)

The thirteenth foreign convention on Human–Computer interplay, HCI Inter- tional 2009, used to be held in San Diego, California, united states, July 19–24, 2009, together with the Symposium on Human Interface (Japan) 2009, the eighth foreign convention on Engineering Psychology and Cognitive Ergonomics, the fifth foreign convention on common entry in Human–Computer interplay, the 3rd foreign Conf- ence on digital and combined fact, the 3rd overseas convention on Internati- alization, layout and worldwide improvement, the 3rd overseas convention on on-line groups and Social Computing, the fifth foreign convention on Augmented Cognition, the second one overseas convention on electronic Human Mod- ing, and the 1st overseas convention on Human headquartered layout. a complete of 4,348 contributors from academia, study institutes, and gove- psychological enterprises from seventy three international locations submitted contributions, and 1,397 papers that have been judged to be of excessive medical caliber have been incorporated within the software. those papers - gown the most recent study and improvement efforts and spotlight the human elements of the layout and use of computing structures. The papers authorized for presentation completely hide the whole box of human–computer interplay, addressing significant advances in wisdom and potent use of pcs in quite a few software areas.

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Extra info for Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: 5th International Conference, FAC 2009 Held as Part of HCI International 2009 San Diego, CA, USA, July 19-24, 2009 Proceedings

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Doctoral Thesis Lund Institute of Technology. Sweden (2004) 10. : Human Factors 44(2), 314–334 (2002) 11. : Human Factors Engineering for Smart Transport: Decision Support for Car Driver and Train Traffic Controller. Applied Ergonomics. Special edition Meeting Diversity in Ergonomics 37(4), 479–490 (2006) 12. : A simple procedure for the assessment of acceptance of advanced transport telematics. Transportation Research Part C: Emerging Technologies 5(1), 1–10(13) (1997) 13. : On-line driver workload estimation.

In: Proceedings of the Second International Workshop on Human Aspects in Ambient Intelligence, HAI 2008. IEEE Computer Society Press, Los Alamitos (2008) 8. : Principles of Component-Based Design of Intelligent Agents. Data and Knowledge Engineering 41, 1–28 (2002) 9. pdf 10. : A Multi-Agent System Architecture for Personal Support During Demanding Tasks. In: Proc. of the 22nd Int. Conf. on Industrial, Engineering & Other Applications of Applied Intelligent Systems, IEA/AIE 2009. Studies in Computational Intelligence.

Augmented Cognition, HCII 2009, LNAI 5638, pp. 20–29, 2009. © Springer-Verlag Berlin Heidelberg 2009 Using Context to Identify Difficult Driving Situations in Unstructured Environments Vehicle Sensors Clamp and Normalize Sensors Extract Regression Parameters Unsupervised Context−Probability Classifier 21 Supervised Driving Driving−Difficulty Difficulty Classifier Fig. 1. Data-flow diagram in the context-based difficulty classifier system We create the driving-difficulty detector using a two-step semi-supervised machine-learning approach [3].

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