Falling for smartphones: A smartphone-centric data collection tool for measuring distracted walking |
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| Affiliation: | 1. Academy of Professional Studies Sumadija, Department in Kragujevac, Kosovska 8, 34000 Kragujevac, Serbia;2. University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia;3. P.E. GSP Belgrade, Knjeginje Ljubice 29, 11000 Belgrade, Serbia;4. University of Montenegro, Faculty of Mechanical Engineering, Blv. Dzordza Vasingtona bb, 81000 Podgorica, Montenegro;1. Monash University Accident Research Centre, Monash University, Victoria, australia;2. Road Safety Victoria, Department of Transport, Victoria, Australia;3. Victorian Institute of Forensic Medicine, Victoria, Australia;4. Monash University Eastern Health Clinical School, Victoria, Australia;5. Turner Institute for Brain and Mental Health, Monash University, Victoria, Australia;6. Sunnybrook Hospital, Ontario, Canada;7. Société de l’assurance automobile du Québec, Québec, Canada;8. Royal College of Physicians of Ireland, Dublin, Ireland;1. Civil Aviation University of China, Tianjin 300300, PR China;2. Beijing University of Technology, Beijing 100124, PR China;1. Technical University of Munich, Boltzmannstraße 15, 85748 Garching, Germany;2. BMW Group, Knorrstr. 147, 80937 Munich, Germany;1. UNICAEN, INSERM, COMETE, GIP CYCERON, Normandie University, 14000 Caen, France;2. UNICAEN, CNRS, LMNO, Normandie University, 14000 Caen, France;3. UNICAEN, ENSICAEN, LAC, Normandie University, 14000 Caen, France;4. UNICAEN, EPHE Paris, INSERM, NIMH, GIP Cyceron, Normandie University, 14000 Caen, France;5. USR CNRS 3413 SANPSY Sommeil, Addiction et NeuroPSYchiatrie, 33000 Bordeaux, France;6. Université Bordeaux, CHU de Bordeaux, 33000 Bordeaux, France;1. Institute for Automotive Engineering (ika), RWTH Aachen University, Germany;2. Institute of Psychology, RWTH Aachen University, Germany |
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| Abstract: | Falls and severe head injuries have been increasingly associated with the use of smartphones while walking. A growing body of academic research identifies cognitive, perceptual, and motor deficits caused by smartphone use while walking. Despite the dangers associated with smartphone use while walking, the true prevalence can be challenging to assess. To better address the growing injury risk related to smartphone-induced distraction, we have built a smartphone-based data collection tool to assess smartphone use frequency while walking. In the current study, 35 participants installed the data collection app on their Android smartphones. On average, the application collected 520 data points per day. The application also indicated participants walked 12% of their day, and 49% of their time walking included smartphone use. The current study demonstrates the prevalence of smartphone-induced distraction while walking and smartphone applications' potential efficacy to collect behavioral data. |
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| Keywords: | Injury Epidemiology Smartphone Distraction Observational method |
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