Telematics Engineering Area, Miguel Hernández University, Elche, Spain.
Health Psychology Department, Miguel Hernández University, Elche, Spain.
J Med Internet Res. 2020 Aug 14;22(8):e19350. doi: 10.2196/19350.
Smartphone addiction has become a reality accepted by all. Some previous studies have shown that the use of smartphones on public roads while walking is very common among the young population. The term "smombie" or smartphone zombie has been coined for this behavior. Such behavior causes a reduction in the attention given to other pedestrians and drivers and may result in accidents or collisions. However, there are no precise data about how many people use the phone while they are walking on the street. Smartphone usage habits are evolving rapidly, and more in-depth information is required, particularly about how users interact with their devices while walking: traditional phone conversations (phone close to the ear), voice chats (phone in front of the head), waiting for notifications (phone in hand), text chats (user touching the screen), etc. This in-depth information may be useful for carrying out specific preventive actions in both the education field (raising awareness about the risks) and in the infrastructure field (redesigning the cities to increase safety).
This study aimed to gather information about pedestrians' smartphone usage and to identify population groups wherein interventions should be focused to prevent accidents. The main hypothesis was that gender, age, and city area can significantly influence the smartphone usage of the pedestrians while walking.
An observational study of pedestrians in the street was carried out in Elche, a medium-sized Spanish city of 230,000 inhabitants. The following data were gathered: gender, age group, location, and type of smartphone interaction. A specific smartphone app was developed to acquire data with high reliability. The statistical significance of each variable was evaluated using chi-squared tests, and Cramér's V statistic was used to measure the effect sizes. Observer agreement was checked by the Cohen kappa analysis.
The behavior of 3301 pedestrians was analyzed, of which 1770 (53.6%) were females. As expected, the effect of the main variables studied was statistically significant, although with a small effect size: gender (P<.001, V=0.12), age (P<.001, V=0.18), and city area (P<.001, V=0.16). The phone in hand or "holding" behavior was particularly dependent on gender for all age groups (P<.001, V=0.09) and to a greater extent in young people (P<.001, V=0.16). Approximately 39.7% (222/559) of the young women observed showed "holding" or "smombie" behavior, and they comprised the highest proportion among all age and gender groups.
An in-depth analysis of smartphone usage while walking revealed that certain population groups (especially young women) have a high risk of being involved in accidents due to smartphone usage. Interventions aimed at reducing the risk of falls and collisions should be focused in these groups.
智能手机成瘾已成为不争的事实。一些先前的研究表明,年轻人在公共道路上行走时使用智能手机的情况非常普遍。对于这种行为,人们创造了“低头族”或“智能手机僵尸”这个术语。这种行为导致他们对其他行人或驾驶员的关注度降低,可能导致事故或碰撞。然而,目前还没有确切的数据表明有多少人在街上行走时会使用手机。智能手机的使用习惯正在迅速发展,需要更深入的信息,特别是关于用户在行走时与设备的交互方式:传统的电话通话(手机贴近耳朵)、语音聊天(手机放在头部前方)、等待通知(手持手机)、文字聊天(用户触摸屏幕)等。这些深入的信息可能对于在教育领域(提高对风险的认识)和基础设施领域(重新设计城市以提高安全性)开展具体的预防措施非常有用。
本研究旨在收集有关行人使用智能手机的信息,并确定应重点关注的人群,以预防事故。主要假设是性别、年龄和城市区域会显著影响行人在行走时使用智能手机的情况。
在西班牙拥有 23 万居民的中型城市埃尔切,对街道上的行人进行了一项观察性研究。收集了以下数据:性别、年龄组、位置和智能手机交互类型。专门开发了一个智能手机应用程序来获取具有高可靠性的数据。使用卡方检验评估每个变量的统计学意义,并使用 Cramér's V 统计量衡量效应大小。通过 Cohen kappa 分析检查观察者之间的一致性。
分析了 3301 名行人的行为,其中 1770 名(53.6%)为女性。正如预期的那样,所研究的主要变量的影响具有统计学意义,尽管效应较小:性别(P<.001,V=0.12)、年龄(P<.001,V=0.18)和城市区域(P<.001,V=0.16)。对于所有年龄组,女性手持或“握住”手机的行为尤其受性别影响(P<.001,V=0.09),而在年轻人中影响更大(P<.001,V=0.16)。观察到的年轻女性中,约有 39.7%(222/559)表现出“握住”或“低头族”行为,在所有年龄和性别群体中占比最高。
对行走时使用智能手机的深入分析表明,某些人群(尤其是年轻女性)由于使用智能手机而有较高的事故风险。应针对这些群体开展降低跌倒和碰撞风险的干预措施。