• DocumentCode
    744510
  • Title

    Efficient Multimodal Cuing of Spatial Attention

  • Author

    Gray, Rebecca ; Spence, C. ; Ho, Chih-Chun ; Tan, H.Z.

  • Author_Institution
    Sch. of Sport & Exercise Sci., Univ. of Birmingham, Birmingham, UK
  • Volume
    101
  • Issue
    9
  • fYear
    2013
  • Firstpage
    2113
  • Lastpage
    2122
  • Abstract
    Behavioral studies of multisensory integration and cross-modal spatial attention have identified many potential benefits of using interfaces that engage more than just a single sense in complex operating environments. Particularly relevant in terms of application, the latest research highlights that: 1) multimodal signals can be used to reorient spatial attention effectively under conditions of high operator workload in which unimodal signals may be ineffective; 2) multimodal signals are less likely to be masked in noisy environments; and 3) there are natural links between specific signals and particular behavioral responses (e.g., head turning). However, taking advantage of these potential benefits requires that interface designers take into account the limitations of the human operator. In particular, multimodal interfaces should normally be designed so as to minimize any spatial incongruence between component warning signals presented in different sensory modalities that relate to the same event. Building on this rapidly growing cognitive neuroscience knowledge base, the last decade has witnessed the development of a number of highly effective multimodal interfaces for driving, aviation, the military, medicine, and sports.
  • Keywords
    cognition; neurophysiology; sensor fusion; user interfaces; behavioral responses; cognitive neuroscience knowledge base; complex operating environments; component warning signals; cross-modal spatial attention; multimodal interface design; multimodal signals; multimodal spatial cuing; multisensory integration; noisy environments; sensory modalities; spatial incongruence; unimodal signals; Human factors; Neurons; Sensor systems; Spatial analysis; Visualization; Crossmodal; interface design; multimodal; multisensory; spatial attention;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/JPROC.2012.2225811
  • Filename
    6403488