Effects of Mobile Phone Dependence on Driver Distraction

2016 ◽  
Vol 60 (1) ◽  
pp. 1135-1139 ◽  
Author(s):  
Steven J. Kass ◽  
Alex Jarstad ◽  
Lisa VanWormer
Keyword(s):  
Mobile Phone ◽  
Driving Performance ◽  
Driver Distraction ◽  
Phone Call ◽  
Control Group ◽  
Simulated Driving ◽  
The Road ◽  
Mere Presence ◽  
Experimental Group

This study investigated the distracting effect that the mere presence of a mobile phone could have on simulated driving performance when drivers can hear a phone notification, but are unable to respond to it. A sample of 45 participants, categorized as either low or high mobile phone dependent, were randomly assigned to either a group that received a phone notification while driving in a simulator or to a control group. Both groups drove two scenarios, with the experimental group receiving, but not attending to, a phone call during the second scenario. Drivers who received the phone call veered off the road more often than drivers in the control group regardless of mobile phone dependency. Highly dependent drivers drove faster, were involved in more collisions, and drove over the centerline more frequently than less phone dependent drivers.

Effects of Individual Differences, Attention, and Memory Deficits on Driver Distraction

2020 ◽  
Vol 64 (1) ◽  
pp. 1196-1201
Author(s):  
Alejandro A. Arca ◽  
Kaitlin M. Stanford ◽  
Mustapha Mouloua
Keyword(s):  
Individual Differences ◽  
Driving Simulator ◽  
Memory Deficits ◽  
Driving Performance ◽  
Driver Distraction ◽  
Phone Call ◽  
Traffic Density ◽  
Attention And Memory ◽  
Adhd Diagnosis ◽  
Simulated Driving

The current study was designed to empirically examine the effects of individual differences in attention and memory deficits on driver distraction. Forty-eight participants consisting of 37 non-ADHD and 11 ADHD drivers were tested in a medium fidelity GE-ISIM driving simulator. All participants took part in a series of simulated driving scenarios involving both high and low traffic conditions in conjunction with completing a 20-Questions task either by text- message or phone-call. Measures of UFOV, simulated driving, heart rate variability, and subjective (NASA TLX) workload performance were recorded for each of the experimental tasks. It was hypothesized that ADHD diagnosis, type of cellular distraction, and traffic density would affect driving performance as measured by driving performance, workload assessment, and physiological measures. Preliminary results indicated that ADHD diagnosis, type of cellular distraction, and traffic density affected the performance of the secondary task. These results provide further evidence for the deleterious effects of cellphone use on driver distraction, especially for drivers who are diagnosed with attention-deficit and memory capacity deficits. Theoretical and practical implications are discussed, and directions for future research are also presented.

Voice-Activated Dialing or Eating a Cheeseburger: Which is More Distracting during Simulated Driving?

2002 ◽  
Vol 46 (4) ◽  
pp. 592-596 ◽  
Author(s):  
James W. Jenness ◽  
Raymond J. Lattanzio ◽  
Maura O'Toole ◽  
Nancy Taylor
Keyword(s):  
Mobile Phone ◽  
Driving Performance ◽  
Simulated Driving ◽  
The Road ◽  
Fixed Distance ◽  
Minimum Speed ◽  
Lane Keeping

We measured simulated driving performance for 26 participants who drove a fixed distance while continuously eating a cheeseburger, operating an automobile CD player, reading directions, or using a voice-activated dialing system to place calls on a mobile phone. Performance was also measured while participants drove without doing other tasks. Participants made the most lane-keeping errors, minimum speed violations, and glances away from the road while reading and while operating the CD player. They made significantly fewer driving errors and glances while voice-dialing the mobile phone or eating, although in both of these conditions they made more driving errors and glances than they did when driving without doing any other activity. We conclude that for simulated driving, placing calls using a voice-activated dialing system is as distracting as eating a cheeseburger, but both of these activities are less distracting than continuously operating a CD player or reading directions.

Effects of Manual versus Voice-Activated Dialing during Simulated Driving

2002 ◽  
Vol 94 (2) ◽  
pp. 363-379 ◽  
Author(s):  
James W. Jenness ◽  
Raymond J. Lattanzio ◽  
Maura O'Toole ◽  
Nancy Taylor ◽  
Christina Pax
Keyword(s):  
Mobile Phone ◽  
Driving Simulator ◽  
Driving Performance ◽  
Simulated Driving ◽  
The Road ◽  
Driving Speed ◽  
Lane Keeping

We measured driving performance (lane-keeping errors, driving times, and glances away from the road scene) in a video driving simulator for 24 volunteers who each drove alone on a 10.6-km multicurved course while simultaneously placing calls on a mobile phone subscribed to a voice-activated dialing system. Driving performance also was measured for the same distance while participants manually dialed phone numbers and while they drove without dialing. There were 22% fewer lane-keeping errors ( p<.01) and 56% fewer glances away from [he road scene ( p<.01) when they used voice-activated dialing as compared to manual dialing. Significantly longer driving times in both of the dialing conditions as compared to the No Dialing condition are discussed in terms of the hypothesis that drivers decrease driving speed to compensate for the demands of the secondary phone tasks.

The mere presence of a mobile phone: Does it influence driving performance?

2021 ◽  
Vol 159 ◽  
pp. 106226
Author(s):  
Priscilla Chee ◽  
Julia Irwin ◽  
Joanne M. Bennett ◽  
Ann J. Carrigan
Keyword(s):  
Mobile Phone ◽  
Driving Performance ◽  
Mere Presence

scholarly journals Modelling the Effect of Mobile Phone Use on Driving Behaviour Considering Different Use Modes

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Ioanna Spyropoulou ◽  
Maria Linardou
Keyword(s):  
Reaction Time ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Lateral Position ◽  
Driving Performance ◽  
Driver Distraction ◽  
Accident Risk ◽  
Mobile Phone Use ◽  
Driving Behaviour ◽  
Driving Speed

Mobile phone use while driving is a major cause of driver distraction, affecting driving performance and increasing accident risk. Governments have responded to this with the implementation of legislation prohibiting the use of mobile phones, under specific conditions, mainly adopting the hands-free use. Still, mobile phone is a cause of several types of distraction rather than just manual. This study explores the effect of mobile phone use while driving via a simulator experiment. Participants drive under various types of mobile phone use mode- namely, handheld, hands-free (wired earphone), and speaker to capture this effect. Results highlight the effect of mobile phone use, regardless of the use mode, on driving behaviour through specific indicators: maximum driving speed, reaction time, and lateral position. In particular, considering the aforementioned parameters the handheld mode demonstrates safer driving behaviour compared to the speaker mode. The results of this study stress the need for a reconsideration of the present legislation.

Driving Error and Anxiety Related to iPod mp3 Player Use in a Simulated Driving Experience

2009 ◽  
Vol 109 (1) ◽  
pp. 159-167 ◽  
Author(s):  
Ashley R. Harvey ◽  
Randy L. Carden
Keyword(s):  
Driving Simulator ◽  
Electronic Devices ◽  
Cellular Phone ◽  
Driver Distraction ◽  
Driving Experience ◽  
Simulated Driving ◽  
The Road ◽  
Stationary Objects ◽  
Mp3 Player

Driver distraction due to cellular phone usage has repeatedly been shown to increase the risk of vehicular accidents; however, the literature regarding the use of other personal electronic devices while driving is relatively sparse. It was hypothesized that the usage of an mp3 player would result in an increase in not only driving error while operating a driving simulator, but driver anxiety scores as well. It was also hypothesized that anxiety scores would be positively related to driving errors when using an mp3 player. 32 participants drove through a set course in a driving simulator twice, once with and once without an iPod mp3 player, with the order counterbalanced. Number of driving errors per course, such as leaving the road, impacts with stationary objects, loss of vehicular control, etc., and anxiety were significantly higher when an iPod was in use. Anxiety scores were unrelated to number of driving errors.

Do Type 2 diabetes patients have declined driving performance during non-hypoglycemia? A preliminary simulated driving study

2017 ◽  
Vol 61 (1) ◽  
pp. 858-862 ◽  
Author(s):  
Shu Ma ◽  
Jingyu Zhang ◽  
Guozhen Zhao ◽  
Changxu Wu ◽  
Xianghong Sun
Keyword(s):  
Indirect Evidence ◽  
Driving Performance ◽  
Driving Safety ◽  
Control Group ◽  
Diabetic Patients ◽  
Diabetes Research ◽  
Type 2 Diabetic Patients ◽  
Simulated Driving ◽  
Healthy Control

Due to the prevalence of diabetes, research interests about its everyday consequences such as driving have grown. Previous studies have found hypoglycemia (low blood glucose) can seriously endanger driving safety. However, some recent indirect evidence suggests that diabetics’ driving performance can also be undermined in non-hypoglycemia conditions. By comparing healthy participants with type 2 diabetic patients in non-hypoglycemia conditions on their driving performance in a simulated driving task, this study sought to find such an effect. The results showed that participants with diabetes mellitus have a significantly longer brake reaction time and brake transfer time, and significantly shorter minimum time to collision than the healthy control group. These results indicate that diabetes may exert negative influences on key driving performance even during non-hypoglycemia. We further discussed who are more susceptible to such performance declination and the possible countermeasures.

scholarly journals Feasibility of a Mobile Phone App to Support Recovery From Addiction in China: Secondary Analysis of a Pilot Study (Preprint)

2017 ◽  
Author(s):  
Hui Han ◽  
Jing Ying Zhang ◽  
Yih-Ing Hser ◽  
Di Liang ◽  
Xu Li ◽  
...  
Keyword(s):  
Pilot Study ◽  
Drug Use ◽  
Mobile Phone ◽  
Mobile Health ◽  
Health Messages ◽  
Control Group ◽  
Urine Test ◽  
Post Intervention ◽  
Urine Testing ◽  
Experimental Group

BACKGROUND Mobile health technologies have been found to improve the self-management of chronic diseases. However, there is limited research regarding their feasibility in supporting recovery from substance use disorders (SUDs) in China. OBJECTIVE The objective of this study was to examine the feasibility of a mobile phone-based ecological momentary assessment (EMA) app by testing the concordance of drug use assessed by the EMA, urine testing, and a life experience timeline (LET) assessment. METHODS A total of 75 participants dependent on heroin or amphetamine-type stimulant (ATS) in Shanghai were recruited to participate in a 4-week pilot study. Of the participants, 50 (67% [50/75]) were randomly assigned to the experimental group and 25 (33% [25/75]) were assigned to the control group. The experimental group used mobile health (mHealth) based EMA technology to assess their daily drug use in natural environments and received 2 short health messages each day, whereas the control group only received 2 short health messages each day from the app. Urine tests and LET assessments were conducted each week and a post-intervention survey was administered to both groups. The correlations among the EMA, the LET assessment, and the urine test were investigated. RESULTS The mean age of the participants was 41.6 (SD 8.0) years, and 71% (53/75) were male. During the 4 weeks of observation, 690 daily EMA survey data were recorded, with a response rate of 49.29% (690/1400). With respect to drug use, the percent of agreement between the EMA and the LET was 66.7%, 79.2%, 72.4%, and 85.8%, respectively, for each of the 4 weeks, whereas the percent of agreement between the EMA and the urine test was 51.2%, 65.1%, 61.9%, and 71.5%, respectively. The post-intervention survey indicated that 46% (32/70) of the participants preferred face-to-face interviews rather than the mHealth app. CONCLUSIONS This study demonstrated poor agreement between the EMA data and the LET and found that the acceptance of mHealth among individuals with SUDs in China was not positive. Hence, greater efforts are needed to improve the feasibility of mHealth in China.

scholarly journals Evaluating the Effect of Using Mobile Phone Reminders on the Adherence to Children and Young Adults With Type 1 Diabetes Attending Outreach Appointments

2019 ◽  
Vol 10 (2) ◽  
pp. 60
Author(s):  
Arsene Florent Hobabagabo ◽  
Rex Wong ◽  
Soha El-Halabi ◽  
Edison Rwagasore ◽  
Simon-Pierre Niyonsenga ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Mobile Phone ◽  
Intervention Group ◽  
Pilot Project ◽  
Phone Call ◽  
Control Group ◽  
Phone Calls ◽  
Outreach Visits

Effective management of Type 1 Diabetes Mellitus (T1DM) requires that people living with the condition attend regular clinical visits. The Rwanda Diabetes Association (RDA) asks young T1DM patients to attend quarterly outreach visits, and prior to the visits, RDA issues reminders via local radio stations. However, adherence in attending clinical appointments has remained low.Since Rwanda has a high mobile phone penetration rate, a pilot intervention study was conducted exploring the use of mobile phone call reminders and Short Message Service (SMS) messages to increase T1DM patients’ attendance of RDA’s quarterly outreach visits. The control group was exposed to only the regular radio broadcast, while the intervention group received reminder phone calls or SMS messages 72 hours prior to their appointments in addition to the regular radio broadcast.The attendance rate was significantly different between the 14 control patients and 35 intervention patients, with 23.3% (3/14) and 76.7% (27/35) attending visits, respectively (P=0.048). The results suggest that using mHealth methods (phone call/SMS reminders) can be effective in improving health outcomes, improving the adherence of T1DM patients to follow-up visits with minimal added cost. The total cost was 0.37 USD per person, compared to potential 672.40 USD for each lost treatment, indicating the intervention is cost-effective in that it minimizes loss to follow up in resource-limited settings. Further research is needed to evaluate the feasibility of scaling up the pilot project and to understand whether improved attendance is sustained long-term.

scholarly journals Facilitating Exercise Habit Formation among Cardiac Rehabilitation Patients: A Randomized Controlled Pilot Trial

2021 ◽  
Vol 18 (12) ◽  
pp. 6440
Author(s):  
Navin Kaushal ◽  
Marie Payer ◽  
Béatrice Bérubé ◽  
Martin Juneau ◽  
Louis Bherer
Keyword(s):  
Physical Activity ◽  
Cardiac Rehabilitation ◽  
Habit Formation ◽  
Pilot Trial ◽  
Exercise Adherence ◽  
Phone Call ◽  
Control Group ◽  
Coronary Syndrome ◽  
Randomized Controlled ◽  
Experimental Group

Background: The importance of promoting exercise adherence among individuals with acute coronary syndrome (ACS) is imperative. However, challenges in maintaining behavior among ACS patients are also well-documented. Emerging findings in the general population have supported the use of habit-formation techniques, which include incorporating routine consistency and cues, to be effective for facilitating exercise behavior. The effectiveness of habit formation approaches, however, has not been tested on participants with ACS. The purpose of this study was to test the effectiveness of facilitating physical activity habits among patients with ACS in a two-arm, parallel design, randomized controlled pilot trial. Methods: Participants (n = 13) were older adult patients (M age = 64.20, SD = 5.35) with ACS who were referred to a cardiac rehabilitation center. The experimental group attended monthly group meetings from months 1–3 and received phone call follow-ups from months 4–6. Conclusions: The experimental group showed an increase in weekly moderate-to-vigorous level physical activity, M = 228.20 mins (SD = 112.45), compared with the control group, M = 151.17 (SD = 112.22), d = 0.61. The experimental condition also showed greater use of routine consistency (experimental: M = 4.60 (SD = 0.548); control: M = 3.76 (SD = 1.62)) and cue usage (experimental: M = 3.60 (SD = 0.471); control: M= 2.60 (SD = 0.398)) over the control condition at the six-month mark. The study supports the effectiveness of habit-building techniques among patients with ACS, with effect sizes ranging from a medium to large magnitude. Findings from this pilot study support a full clinical trial with larger sample size.

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