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Objectives Past studies have concluded that racing games may induce car drivers' risk-taking behaviours. Limited research has been conducted to investigate whether such an effect applies to pedestrians when crossing a street. This study investigates the effects of smartphone racing games on pedestrian's risk-taking inclinations. Materials and Methods Using WiFi video cameras, pedestrians’ risk-taking inclinations such as game playing when crossing the street, red-light violation, and walking outside the crosswalk at a signalised intersection in Taipei City were observed. Data such as their phone features, smartphone game types, and personal attributes were obtained in the interviews conducted after pedestrians had completed crossing the street. Effects of racing games (RCG) were compared with those of several other games (e.g., Pokemon, RPG: Role-Playing Game, ACT: Action Game, SPG: Sports Game, FTG: Fighting Game, STG: Shooting Game, PZG: Puzzle Game, ETC: Other Game). Results A total of 1480 participants completed crossing the street and were interviewed between April 2017∼March 2018. Pokemon Go was most associated with game playing when crossing, running the red light, and walking outside the crosswalk. Logistic regression models reveal several other important determinants of risk-taking inclinations: being a student, larger smartphone screen size, unlimited Internet allowance. Student players of Pokemon GO, and playing Pokemon with unlimited Internet allowance, appear to contribute to pedestrian's risk-taking inclinations. Conclusions RCG appears not to be associated with pedestrian's risk-taking behaviours as much as Pokemon Go does. Instead, compared to other smartphone games, Pokemon Go is most associated with pedestrian's risk-taking inclinations. [ABSTRACT FROM AUTHOR]

Since the launch of the smartphone game “Pokemon Go”, the worldwide craze has led to numerous traffic crashes and injuries resulting from falling or tripping. This paper investigates the effects of several smartphone distracting activities (gaming, talking, texting, Web surfing, and listening to music) on the street-crossing behaviours of pedestrians in Taipei City, Taiwan. A field study using video cameras was conducted to observe pedestrian crossing behaviours (e.g., crossing time, sudden movements, running a red light, and walking outside the crosswalk) at a selected signalised intersection. Data such as phone features, distracting activities, and personal attributes of the pedestrians were obtained in interviews conducted after pedestrians had completed crossing the street. In total, 1995 pedestrians engaging in various smartphone activities were observed. Results indicate that unsafe crossing behaviours were more prevalent among those playing “Pokemon Go”. Texting via instant-message apps appeared to be the second-most risk distracting activity. Results of the logistic models reveal that contributing factors to unsafe behaviours include being a student, phone screen of 5 in. or larger, and having an unrestricted 4G Internet data allowance. Two interaction terms (gaming × students, and gaming × unlimited 4G data allowance) in the models appear to be important determinants of unsafe crossing behaviours. The current research suggests that to prevent potential crashes and injuries, smartphone gaming while crossing the street should be prohibited. [ABSTRACT FROM AUTHOR]

Pedestrians' head-turning behaviors are crucial to navigating streets safely. This research investigates the effects of phone use on pedestrians' street-crossing behaviors at an uncontrolled intersection where head-turning performances are important to identify a gap among the oncoming traffic. A field study using video cameras was conducted for evaluating pedestrians' head-turning behaviors (e.g., head-turning frequency, not looking at traffic before crossing, looking at the wrong traffic side), crossing time, and sudden movement while they were engaging in various smartphone activities (e.g., calling, texting, gaming, and listening to music). Data such as phone features, distraction types, and personal attributes of the pedestrians were obtained in the interviews conducted after pedestrians had completed crossing the street. The results indicate that the unsafe crossing behaviors (e.g., sudden movement, fewer head-turning frequencies, not looking at traffic before crossing, not looking at left side of traffic first) were more prevalent among those gaming with “Pokemon Go.” Web surfing appears to be the 2nd risky distraction event following gaming with “Pokemon Go.” Logistic regression models reveal several important correlates of unsafe crossing behaviors: being a student, large phone screen (5 in. or larger), and having un-restricted 4G Internet data allowance. The current research recommends that “Pokemon Go” gaming be prohibited while crossing the street. [ABSTRACT FROM PUBLISHER]

The paper investigates the effects of phone use (talking, texting, and listening to music) on the street-crossing behaviours of pedestrians and their inattentional blindness in Taiwan. Recent handsets with touchscreens, as well as more advanced features including multimedia, and mobile applications (apps), exacerbate problems relating to cognitive distraction and reduced situation awareness. A controlled field study using video cameras was conducted for observing pedestrians’ crossing behaviours (e.g. crossing time, sudden stops, looking both ways before crossing, and disobeying traffic signals). Pedestrians were classified into two groups: experimental group (talking, texting, and listening to music) and control group (no phone use). Pedestrians’ inattentional blindness was examined by evaluating whether they saw and heard an unusual object (i.e. a clown) nearby. The results indicate that the proportions of unsafe crossing behaviours (e.g. sudden stops, disobeying traffic signals, and not looking both ways before crossing) were higher among distracted individuals and more pronounced among those using instant-messaging apps. These instant-message app users were the least likely to see the clown, and music listeners were the least likely to hear the horn that the clown was honking. Contributing factors to unsafe behaviours include being a student, having a phone screen of 5 inches or larger, and having unlimited 3G Internet access. Texting message via apps was the leading factor on unsafe crossing behaviours of pedestrians and their inattentional blindness. [ABSTRACT FROM PUBLISHER]