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Mobile Multitasking Distraction:
An Intracranial EEG pilot study.
Emma Campbell, Pierre-Majorique Léger, Élise Labonté-
Lemoyne, Sylvain Sénécal, Marc Fredette, Franco Lepore &
Dang Nguyen
Funding
Partners Team
A special thank you…
Co-Authors
• Pierre-Majorique Léger
• Élise Labonté-Lemoyne
• Sylvain Sénéval
• Marc Fredette
• Franco Lepore
• Dang Nguyen
Research Team
• Manon Robert
• Olivier Boucher
• Tech3Lab’s
Research Team
1. Mobile multitasking distraction
2. Study 1: Texting while walking
• Methods
• Results and Discussion
3. Why use Intracranial EEG
4. Study 2: Mobile Multitasking Distraction – Intracranial EEG pilot
• Methods
• Results and Discussion
5. Future Directions
Presentation Plan
Mobile Multitasking Distraction - Statistics
• 91% of adults used a cellphone in 2013 in the United
states. [1]
• Mobile use is recognized as one of the most important
distraction cause in automobile accidents. [2]
• Injuries related to the use of mobile phone involving
pedestrians exceeded those of drivers in 2010. [3]
Mobile Multitasking:
Performing one or more
information technology tasks
while in movement [4]
Mobile Multitasking Distraction – Studies
 In reality, MMt leads to dangerous behaviours
• Less likely to acknowledge other walkers [5]
• Increased time taken to cross a stress [6]
 In a virtual environment, MMt led to a decrease in safety
measures
• Decreased tendency to look on both sides before crossing
[7]
• Increased duration of time looking away from the street
[8]
Switch cost
Performance decrease due to
Task Set Reconfiguration [9]
TEXTING
WALKING
Study 1: Texting while Walking [10]
Results
Chances of accuracy decrease
by 18.9% (exp(β)=0.209; p-
value=0.014) (N=54)
The relations between alpha
ratios and the performances
differ significantly (p=0.032)
between the two conditions
at Pz. (N=25)
TEXTING
WALKING
TEXTING
WALKING
22 trials
12 min
Why use ECoG?
Expand our understanding of
this dangerous behavior
Why use ECoG?
• Raise awareness about user’s
cognitive state when mobile
multitasking
• Develop applications aiming at
stimulating the implicated
neuronal circuit
Study 2 : MMt Distraction - ECoG pilot
TEXTING
WALKING
TEXTING
CONTROL
TEXTING
CONTROL
22 trials
12 min
Intracranial
Electroencephalography
Study 2 : MMt Distraction - ECoG pilot
Time-Frequency analysis for each
electrode presenting a difference in the
engagement ratio between the two
tasks.
PRELIMINARY RESULTS : Top
20% electrodes with greater
differences in the engagement
ratio between the two tasks
References
[1] cell phone ownership hits 91% of adults – Pew Research Center. 2013; Available from: http://www.pewresearch.org/fact-
tank/2013/06/06/cell-phone-ownership-hits-91-of-adults/.
[2] Owens, J.M., McLaughi, S.B. & Sudweeeks, J. Driver performance while text messaging using handheld and in-vehicle systems. Accident
Analysis & Preention, 2011. 43(3): p. 939-947
[3] Nasar, J.L. and D. Troyer, Pedestrian injuries due to mobile phone use in public places. Accident Analysis & Prevention, 2013. 57​ (0): p. 9195.
[4] Léger, P.-M., Sénécal, S. Cameron, A.-F., Bellavance, F., Faubert, J. and Fredette, M. Travailler à l’extérieur des frontières de l’organisation : Un
modèle pour étudier les effets des multitâches technologiques en contexte piétonnier. Proceedings of the Congrès de l’Association des Sciences
Administratives du Canada (ASAC), Alberta (2013)
[5] Hyman, I.E., Boss, S.M., Wise, B.M., McKenzie, K.E. & Caggiano, J.M. Did you see the unicycling clown? Inattentional blindness while walking
and talking on a cellphone. Applied Cognitive Psychology, 2012. 24(5): p. 597-607
[6] Thompson, L.L., Rivara, F.P., Ayyagari, R.C & Ebel, B.E., Impact of social and technological distraction on pedestrian crossing behaviour: An
observational study. Injury Prevention, 2013. 19(4): p.232-237
[7] Schwebel, D.C., Stavrinos, D., Byington, K.W., Davis, ., O’Neal, E.E. & de Jong, D., Distraction and pedestrian safety: How talking on the phone,
texting and listening to music impact crossing the street. Accident Analysis & Prevention, 2012. 45(0): p. 266-271
[8]Byington, K.W. & Schwebel, D.C., Effects of mobile Internet use on college student pedestrian injury risk. Accident Analysis & Prevention, 2013.
51: P.78-83
[9]Wylie, H., & Allport, A., Task switching and the measurement of switch costs. Psychological Research, 2000. 63(3-4): p. 212-233
[10] Courtemanche, F., Léger, P.-L., Cameron, A.-F., Faubert, J., Labonté-Lemoyne, É., Sénécal, S., Fredette, M., Bellavance, S.: Texting While
Walking: Measuring the Impact on Pedestrian Visual Attention. Gmunden Retreat on NeuroIS 2014. Austria (2014)

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Mobile Multitasking Distraction: A Pilot Study with Intracranial Electroencephalography (Gmunden Retreat on NeuroIS 2016)

  • 1. Mobile Multitasking Distraction: An Intracranial EEG pilot study. Emma Campbell, Pierre-Majorique Léger, Élise Labonté- Lemoyne, Sylvain Sénécal, Marc Fredette, Franco Lepore & Dang Nguyen
  • 2. Funding Partners Team A special thank you… Co-Authors • Pierre-Majorique Léger • Élise Labonté-Lemoyne • Sylvain Sénéval • Marc Fredette • Franco Lepore • Dang Nguyen Research Team • Manon Robert • Olivier Boucher • Tech3Lab’s Research Team
  • 3. 1. Mobile multitasking distraction 2. Study 1: Texting while walking • Methods • Results and Discussion 3. Why use Intracranial EEG 4. Study 2: Mobile Multitasking Distraction – Intracranial EEG pilot • Methods • Results and Discussion 5. Future Directions Presentation Plan
  • 4. Mobile Multitasking Distraction - Statistics • 91% of adults used a cellphone in 2013 in the United states. [1] • Mobile use is recognized as one of the most important distraction cause in automobile accidents. [2] • Injuries related to the use of mobile phone involving pedestrians exceeded those of drivers in 2010. [3] Mobile Multitasking: Performing one or more information technology tasks while in movement [4]
  • 5. Mobile Multitasking Distraction – Studies  In reality, MMt leads to dangerous behaviours • Less likely to acknowledge other walkers [5] • Increased time taken to cross a stress [6]  In a virtual environment, MMt led to a decrease in safety measures • Decreased tendency to look on both sides before crossing [7] • Increased duration of time looking away from the street [8] Switch cost Performance decrease due to Task Set Reconfiguration [9]
  • 6. TEXTING WALKING Study 1: Texting while Walking [10] Results Chances of accuracy decrease by 18.9% (exp(β)=0.209; p- value=0.014) (N=54) The relations between alpha ratios and the performances differ significantly (p=0.032) between the two conditions at Pz. (N=25) TEXTING WALKING TEXTING WALKING 22 trials 12 min
  • 7. Why use ECoG? Expand our understanding of this dangerous behavior
  • 8. Why use ECoG? • Raise awareness about user’s cognitive state when mobile multitasking • Develop applications aiming at stimulating the implicated neuronal circuit
  • 9. Study 2 : MMt Distraction - ECoG pilot TEXTING WALKING TEXTING CONTROL TEXTING CONTROL 22 trials 12 min Intracranial Electroencephalography
  • 10. Study 2 : MMt Distraction - ECoG pilot Time-Frequency analysis for each electrode presenting a difference in the engagement ratio between the two tasks. PRELIMINARY RESULTS : Top 20% electrodes with greater differences in the engagement ratio between the two tasks
  • 11.
  • 12. References [1] cell phone ownership hits 91% of adults – Pew Research Center. 2013; Available from: http://www.pewresearch.org/fact- tank/2013/06/06/cell-phone-ownership-hits-91-of-adults/. [2] Owens, J.M., McLaughi, S.B. & Sudweeeks, J. Driver performance while text messaging using handheld and in-vehicle systems. Accident Analysis & Preention, 2011. 43(3): p. 939-947 [3] Nasar, J.L. and D. Troyer, Pedestrian injuries due to mobile phone use in public places. Accident Analysis & Prevention, 2013. 57​ (0): p. 9195. [4] Léger, P.-M., Sénécal, S. Cameron, A.-F., Bellavance, F., Faubert, J. and Fredette, M. Travailler à l’extérieur des frontières de l’organisation : Un modèle pour étudier les effets des multitâches technologiques en contexte piétonnier. Proceedings of the Congrès de l’Association des Sciences Administratives du Canada (ASAC), Alberta (2013) [5] Hyman, I.E., Boss, S.M., Wise, B.M., McKenzie, K.E. & Caggiano, J.M. Did you see the unicycling clown? Inattentional blindness while walking and talking on a cellphone. Applied Cognitive Psychology, 2012. 24(5): p. 597-607 [6] Thompson, L.L., Rivara, F.P., Ayyagari, R.C & Ebel, B.E., Impact of social and technological distraction on pedestrian crossing behaviour: An observational study. Injury Prevention, 2013. 19(4): p.232-237 [7] Schwebel, D.C., Stavrinos, D., Byington, K.W., Davis, ., O’Neal, E.E. & de Jong, D., Distraction and pedestrian safety: How talking on the phone, texting and listening to music impact crossing the street. Accident Analysis & Prevention, 2012. 45(0): p. 266-271 [8]Byington, K.W. & Schwebel, D.C., Effects of mobile Internet use on college student pedestrian injury risk. Accident Analysis & Prevention, 2013. 51: P.78-83 [9]Wylie, H., & Allport, A., Task switching and the measurement of switch costs. Psychological Research, 2000. 63(3-4): p. 212-233 [10] Courtemanche, F., Léger, P.-L., Cameron, A.-F., Faubert, J., Labonté-Lemoyne, É., Sénécal, S., Fredette, M., Bellavance, S.: Texting While Walking: Measuring the Impact on Pedestrian Visual Attention. Gmunden Retreat on NeuroIS 2014. Austria (2014)

Editor's Notes

  1. Growing habit – concurrent with usage of smartphones Efficient as do more in less time Comes with great cost