Abstract:
Distracted driving refers to multisensory integration and attention shifts between attentional driving and different interferences from different modalities, including vi...Show MoreMetadata
Abstract:
Distracted driving refers to multisensory integration and attention shifts between attentional driving and different interferences from different modalities, including visual and auditory stimuli. Here, we compared the behavioral performance with interacting multisensory distractors during attentional driving. Then, the independent component analysis (ICA) and event-related spectral perturbation (ERSP) were applied to investigate the neural oscillation changes. The behavioral results showed that the response times (RTs) increased when distractors appeared in response to attentional driving. Moreover, the RTs were longer when the distractor interference was presented in the auditory modality compared with the visual modality. Eye movement intervals showed shorter tracking saccades under distractor interference. These results may indicate that attentional driving performance was impaired under the exposure to multisensory distractor interference. The ERSPs under visual and auditory distraction exposure showed decreased beta power in the frontal area, increased theta and delta power in the central area, and decreased alpha power in the parietal area. During this process, distracted driving under cross-modal sensory interference required more neural oscillation involvement. Moreover, the visual modality showed increased gamma power in the frontal, central, parietal and occipital areas, while the auditory modality showed decreased gamma power in the frontal area, indicating that auditory interference could intervene in top-down attentional processing.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 23, Issue: 8, August 2022)
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Contents Select All
1.
J. Mishra, J. A. Anguera, D. A. Ziegler, and A. Gazzaley, “A cognitive framework for understanding and improving interference resolution in the brain,” Prog. Brain Res., vol. 207, pp. 351–377, Jan. 2013.
2.
D. L. Strayer and D. L. Fisher, “SPIDER: A framework for understanding driver distraction,” Hum. Factors, J. Hum. Factors Ergonom. Soc., vol. 58, no. 1, pp. 5–12, Feb. 2016.
3.
J. R. Treat, “Tri-level study of the causes of traffic accidents: Final report. executive summary,” Inst. Res. Public Saf., Indiana Univ. Bloomington, Bloomington, IN, USA, Tech. Rep. DOT HS 805 099, 1979.
4.
T. Dukic, C. Ahlstrom, C. Patten, C. Kettwich, and K. Kircher, “Effects of electronic billboards on driver distraction,” Traffic Injury Prevention, vol. 14, pp. 469–476, Jul. 2013.
5.
T. Horberry, J. Anderson, M. A. Regan, T. J. Triggs, and J. Brown, “Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance,” Accident Anal. Prevention, vol. 38, no. 1, pp. 185–191, Jan. 2006.
6.
C. J. D. Patten, A. Kircher, J. Östlund, and L. Nilsson, “Using mobile telephones: Cognitive workload and attention resource allocation,” Accident Anal. Prevention, vol. 36, no. 3, pp. 341–350, May 2004.
7.
D. L. Strayer and F. A. Drews, “Cell-phone-induced driver distraction,” Current Directions Psychol. Sci., vol. 16, no. 3, pp. 128–131, 2007.
8.
V. Melnicuk, S. Thompson, P. Jennings, and S. Birrell, “Effect of cognitive load on drivers’ state and task performance during automated driving: Introducing a novel method for determining stabilisation time following take-over of control,” Accident Anal. Prevention, vol. 151, Mar. 2021, Art. no. 105967.
9.
J. R. Perello-March, C. G. Burns, R. Woodman, M. T. Elliott, and S. A. Birrell, “Driver state monitoring: Manipulating reliability expectations in simulated automated driving scenarios,” IEEE Trans. Intell. Transp. Syst., early access, Jan. 22, 2021, doi: 10.1109/TITS.2021.3050518.
10.
D. D. Salvucci and N. A. Taatgen, “Threaded cognition: An integrated theory of concurrent multitasking,” Psychol. Rev., vol. 115, no. 1, p. 101, 2008.
11.
R. Hyman, “Stimulus information as a determinant of reaction time,” J. Exp. Psychol., vol. 45, no. 3, p. 188, 1953.
12.
D. A. Norman and D. G. Bobrow, “On data-limited and resource-limited processes,” Cognit. Psychol., vol. 7, no. 1, pp. 44–64, Jan. 1975.
13.
S. G. Hosking, K. L. Young, and M. A. Regan, “The effects of text messaging on young drivers,” Hum. Factors, J. Hum. Factors Ergonom. Soc., vol. 51, no. 4, pp. 582–592, Aug. 2009.
14.
D. D. Salvucci, D. Markley, M. Zuber, and D. P. Brumby, “IPod distraction: Effects of portable music-player use on driver performance,” in Proc. SIGCHI Conf. Hum. Factors Comput. Syst., Apr. 2007, pp. 243–250.
15.
O. Oviedo-Trespalacios, V. Truelove, B. Watson, and J. A. Hinton, “The impact of road advertising signs on driver behaviour and implications for road safety: A critical systematic review,” Transp. Res. A, Policy Pract., vol. 122, pp. 85–98, Apr. 2019.
16.
F. A. Drews, M. Pasupathi, and D. L. Strayer, “Passenger and cell phone conversations in simulated driving,” J. Exp. Psychol., Appl., vol. 14, no. 4, p. 392, 2008.
17.
P. Herath, T. Klingberg, J. Young, K. Amunts, and P. Roland, “Neural correlates of dual task interference can be dissociated from those of divided attention: An fMRI study,” Cerebral Cortex, vol. 11, no. 9, pp. 796–805, Sep. 2001.
18.
T. P. Zanto, M. T. Rubens, A. Thangavel, and A. Gazzaley, “Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory,” Nature Neurosci., vol. 14, no. 5, pp. 656–661, 2011.
19.
A. Gazzaley and A. C. Nobre, “Top-down modulation: Bridging selective attention and working memory,” Trends Cogn. Sci., vol. 16, no. 2, pp. 129–135, Feb. 2012.
20.
C.-T. Lin, S.-A. Chen, T.-T. Chiu, H.-Z. Lin, and L.-W. Ko, “Spatial and temporal EEG dynamics of dual-task driving performance,” J. Neuroeng. Rehabil., vol. 8, no. 1, pp. 1–13, Dec. 2011.
21.
Y.-K. Wang, T.-P. Jung, and C.-T. Lin, “Theta and alpha oscillations in attentional interaction during distracted driving,” Frontiers Behav. Neurosci., vol. 12, p. 3, Feb. 2018.
22.
A. Mazaheri, M. R. van Schouwenburg, A. Dimitrijevic, D. Denys, R. Cools, and O. Jensen, “Region-specific modulations in oscillatory alpha activity serve to facilitate processing in the visual and auditory modalities,” NeuroImage, vol. 87, pp. 356–362, Feb. 2014.
23.
J. Misselhorn, U. Friese, and A. K. Engel, “Frontal and parietal alpha oscillations reflect attentional modulation of cross-modal matching,” Sci. Rep., vol. 9, no. 1, pp. 1–11, Dec. 2019.
24.
J. Misselhorn, B. C. Schwab, T. R. Schneider, and A. K. Engel, “Synchronization of sensory gamma oscillations promotes multisensory communication,” Eneuro, vol. 6, no. 5, pp. 1–33, Sep. 2019.
25.
Y. He, A. Nagels, M. Schlesewsky, and B. Straube, “The role of gamma oscillations during integration of metaphoric gestures and abstract speech,” Frontiers Psychol., vol. 9, p. 1348, Jul. 2018.
26.
A. S. Keller, L. Payne, and R. Sekuler, “Characterizing the roles of alpha and theta oscillations in multisensory attention,” Neuropsychologia, vol. 99, pp. 48–63, May 2017.
27.
P. Sauseng, J. Hoppe, W. Klimesch, C. Gerloff, and F. C. Hummel, “Dissociation of sustained attention from central executive functions: Local activity and interregional connectivity in the theta range,” Eur. J. Neurosci., vol. 25, no. 2, pp. 587–593, Jan. 2007.
28.
D. Senkowski, D. Talsma, C. S. Herrmann, and M. G. Woldorff, “Multisensory processing and oscillatory gamma responses: Effects of spatial selective attention,” Exp. Brain Res., vol. 166, nos. 3–4, pp. 411–426, Oct. 2005.
29.
T.-T.-N. Do, C.-H. Chuang, S.-J. Hsiao, C.-T. Lin, and Y.-K. Wang, “Neural comodulation of independent brain processes related to multitasking,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 27, no. 6, pp. 1160–1169, Jun. 2019.
30.
T.-T.-N. Do, Y.-K. Wang, and C.-T. Lin, “Increase in brain effective connectivity in multitasking but not in a high-fatigue state,” IEEE Trans. Cognit. Develop. Syst., vol. 13, no. 3, pp. 566–574, Sep. 2021.
