Integration of warning signals and signaled objects to a multimodal object: A pilot study

A. Torok, Zs Toth, F. Honbolygo, V. Csépe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Extension of the human senses means not just the detection of changes by an artificial system, but also how that artificial sensory system can provide information about that to the human user. Warning signals serve the facilitation of detection of visual objects. We investigated how warning signals and signaled objects integrate into multimodal objects revealed by early evoked brain potentials. We asked whether locus of attention and stimulus intensity modulates this effect. 15 participants performed a driving and a redundant target paradigm task while EEG was recorded from scalp electrodes. We presented audio/visual/bimodal stimuli either with low or with middle intensity. We found that non-attended low intensity multisensory changes caused difference in attentional processing as early as 88 msec, on the other hand attended middle intensity multisensory stimuli led to an enhancement of an early visual event related potential component, namely the C1. These results suggest that attention and stimulus intensity interact in multisensory perception. Our results raise attention to how warning signals and signaled objects integrate. Consequently a warning system that is capable of providing simultaneous and spatially consequent signals is proposed.

Original languageEnglish
Title of host publication4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings
PublisherIEEE Computer Society
Pages653-658
Number of pages6
ISBN (Print)9781479915439
DOIs
Publication statusPublished - 2013
Event4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Budapest, Hungary
Duration: Dec 2 2013Dec 5 2013

Other

Other4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013
CountryHungary
CityBudapest
Period12/2/1312/5/13

Fingerprint

Alarm systems
Electroencephalography
Brain
Electrodes
Processing

Keywords

  • attention
  • intensity
  • multisensory perception
  • threat detection system
  • warning system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Torok, A., Toth, Z., Honbolygo, F., & Csépe, V. (2013). Integration of warning signals and signaled objects to a multimodal object: A pilot study. In 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings (pp. 653-658). [6719183] IEEE Computer Society. https://doi.org/10.1109/CogInfoCom.2013.6719183

Integration of warning signals and signaled objects to a multimodal object : A pilot study. / Torok, A.; Toth, Zs; Honbolygo, F.; Csépe, V.

4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings. IEEE Computer Society, 2013. p. 653-658 6719183.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Torok, A, Toth, Z, Honbolygo, F & Csépe, V 2013, Integration of warning signals and signaled objects to a multimodal object: A pilot study. in 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings., 6719183, IEEE Computer Society, pp. 653-658, 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013, Budapest, Hungary, 12/2/13. https://doi.org/10.1109/CogInfoCom.2013.6719183
Torok A, Toth Z, Honbolygo F, Csépe V. Integration of warning signals and signaled objects to a multimodal object: A pilot study. In 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings. IEEE Computer Society. 2013. p. 653-658. 6719183 https://doi.org/10.1109/CogInfoCom.2013.6719183
Torok, A. ; Toth, Zs ; Honbolygo, F. ; Csépe, V. / Integration of warning signals and signaled objects to a multimodal object : A pilot study. 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings. IEEE Computer Society, 2013. pp. 653-658
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