What's that on Your Phone? Effects of Mobile Device Task Type on Pedestrian Performance.

attentional processes distractions dual task mobile devices pedestrians

Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
25 Nov 2022
Historique:
entrez: 25 11 2022
pubmed: 26 11 2022
medline: 26 11 2022
Statut: aheadofprint

Résumé

The number of accidents due to distracted pedestrian is on the rise and many governments and institutions are enacting public policies which restrict texting while walking. However, pedestrians do more than just texting when they use their mobile devices on the go. Exploring pedestrian multitasking, this paper aims to examine the effects of mobile device task type on pedestrian performance outcomes. We performed two studies in lab simulations where 78 participants were asked to perform different tasks on a mobile device (playing a game, reading, writing an email, texting one person, group texting) while performing a pedestrian visual discrimination task while either standing or walking on a treadmill. Behavioral performance as well as neurophysiological data are collected. Results show that compared to a no-phone control, multitasking with any of the tasks on a mobile device leads to poor performance on a pedestrian visual discrimination task. Playing a game is the most cognitively demanding task and leads to the greatest performance degradation. Our studies show that multitasking with a mobile device has the potential to negatively impact pedestrian safety, regardless of task type. However, the impacts of different mobile device tasks are not all equivalent. More research is needed to tease out the different effects of these various tasks and to design mobile applications which effectively and safely capture pedestrians' attention. Public policy, infrastructure, and smart technologies can be used to mitigate the negative effects of mobile multitasking. A more thorough understanding of mobile device task-specific factors at play can help tailor these counter-measures to better aid distracted pedestrians.

Sections du résumé

BACKGROUND BACKGROUND
The number of accidents due to distracted pedestrian is on the rise and many governments and institutions are enacting public policies which restrict texting while walking. However, pedestrians do more than just texting when they use their mobile devices on the go.
OBJECTIVE OBJECTIVE
Exploring pedestrian multitasking, this paper aims to examine the effects of mobile device task type on pedestrian performance outcomes.
METHOD METHODS
We performed two studies in lab simulations where 78 participants were asked to perform different tasks on a mobile device (playing a game, reading, writing an email, texting one person, group texting) while performing a pedestrian visual discrimination task while either standing or walking on a treadmill. Behavioral performance as well as neurophysiological data are collected.
RESULTS RESULTS
Results show that compared to a no-phone control, multitasking with any of the tasks on a mobile device leads to poor performance on a pedestrian visual discrimination task. Playing a game is the most cognitively demanding task and leads to the greatest performance degradation.
CONCLUSION CONCLUSIONS
Our studies show that multitasking with a mobile device has the potential to negatively impact pedestrian safety, regardless of task type. However, the impacts of different mobile device tasks are not all equivalent. More research is needed to tease out the different effects of these various tasks and to design mobile applications which effectively and safely capture pedestrians' attention.
APPLICATION CONCLUSIONS
Public policy, infrastructure, and smart technologies can be used to mitigate the negative effects of mobile multitasking. A more thorough understanding of mobile device task-specific factors at play can help tailor these counter-measures to better aid distracted pedestrians.

Identifiants

pubmed: 36426775
doi: 10.1177/00187208221141175
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

187208221141175

Auteurs

Elise Labonte-LeMoyne (E)

10014HEC Montréal, Montreal, Qc, Canada.

Ann-Frances Cameron (AF)

10014HEC Montréal, Montreal, Qc, Canada.

Sylvain Sénécal (S)

10014HEC Montréal, Montreal, Qc, Canada.

Marc Fredette (M)

10014HEC Montréal, Montreal, Qc, Canada.

Jocelyn Faubert (J)

5622Université de Montréal, QC, Canada.

Franco Lepore (F)

5622Université de Montréal, QC, Canada.

Pierre-Majorique Léger (PM)

10014HEC Montréal, QC, Canada.

Classifications MeSH