Predictors of cellphone-related distracted walking among college students

Tontodonato, Pamela; Drinkard, Allyson M.

doi:10.1080/03623319.2021.1899360

Cited by 7 publications

(4 citation statements)

References 36 publications

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“…This paper discusses why this lack of knowledge is an issue and what research might be plausible to solve it. A longer historical review from a social science lens is provided by Tontodonato (2021).…”

Section: Recent Low-dose Funding In the United Statesmentioning

confidence: 99%

A Review of Recent Low-dose Research and Recommendations for Moving Forward

Wilson,

Adams,

Patel

et al. 2024

Health Physics

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The linear no-threshold (LNT) model has been the regulatory “law of the land” for decades. Despite the long-standing use of LNT, there is significant ongoing scientific disagreement on the applicability of LNT to low-dose radiation risk. A review of the low-dose risk literature of the last 10 y does not provide a clear answer, but rather the body of literature seems to be split between LNT, non-linear risk functions (e.g., supra- or sub-linear), and hormetic models. Furthermore, recent studies have started to explore whether radiation can play a role in the development of several non-cancer effects, such as heart disease, Parkinson’s disease, and diabetes, the mechanisms of which are still being explored. Based on this review, there is insufficient evidence to replace LNT as the regulatory model despite the fact that it contributes to public radiophobia, unpreparedness in radiation emergency response, and extreme cleanup costs both following radiological or nuclear incidents and for routine decommissioning of nuclear power plants. Rather, additional research is needed to further understand the implications of low doses of radiation. The authors present an approach to meaningfully contribute to the science of low-dose research that incorporates machine learning and Edisonian approaches to data analysis.

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Section: Recent Low-dose Funding In the United Statesmentioning

confidence: 99%

A Review of Recent Low-dose Research and Recommendations for Moving Forward

Wilson,

Adams,

Patel

et al. 2024

Health Physics

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“…To-date, distracted smartphone usage whilst walking in public has attracted limited (and disciplinary fragmented) research attention, with only a handful of empirical studies having been published across a broad number of scholarly domains. The largest body of research on distracted walking has examined the consequences of pedestrians being distracted by a smartphone while crossing a street, where individuals distracted by smartphone usage were less likely to cross a street safely (Yadav et al, 2022;Gruden et al, 2021;Tontodonato and Drinkard, 2021;Horberry et al, 2019;Stavrinos et al, 2018;Lin and Huang, 2017;Thompson et al, 2013;Byington and Schwebel, 2013;Chaddock et al, 2012). Heavy users of smartphones experience a greater occurrence of accidents in comparison to low and moderate users (Kim et al, 2017).…”

Section: Previous Research On Smartphone Zombiesmentioning

confidence: 99%

“…, 2022; Gruden et al . , 2021; Tontodonato and Drinkard, 2021; Horberry et al ., 2019; Stavrinos et al ., 2018; Lin and Huang, 2017; Thompson et al ., 2013; Byington and Schwebel, 2013; Chaddock et al ., 2012). Heavy users of smartphones experience a greater occurrence of accidents in comparison to low and moderate users (Kim et al ., 2017).…”

Section: Previous Research On Smartphone Zombiesmentioning

confidence: 99%

The problematic use of smartphones in public: the development and validation of a measure of smartphone “zombie” behaviour

Pressey¹,

Houghton²,

Istanbulluoğlu³

2023

ITP

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PurposeWe have witnessed an evolution in the use of smartphones in recent years. We have been aware for some time of the potentially deleterious impact of smartphones on users' lives and their propensity for user addiction, as reflected in the large and growing body of work on this topic. One modern phenomenon – the distracted mobile phone user in public, or “smartphone zombie” – has received limited research attention. The purpose of the present study is to develop a robust measure of smartphone zombie behaviour.Design/methodology/approachThe research deign comprises three studies: A round of focus groups (n = 5) and two online surveys (survey one n = 373, survey two n = 386), in order to develop and validate a three-factor, 15-item measure named the Smartphone Zombie Scale (SZS).FindingsFollowing the round of focus groups conducted, Exploratory Factor Analysis and a Confirmatory Factor Analysis, the SZS measure (Cronbach's α = .932) is demonstrated to be robust and comprises three factors: Attention Deficit (Cronbach's α = .922), Jeopardy (Cronbach's α = .817) and Preoccupation (Cronbach's α = .835), that is shown to be distinct to existing closely related measures (Smartphone Addiction scale and Obsessive Compulsive Use).Originality/valueThe present study represents the first extant attempt to produce a measure of smartphone zombie behaviour, and provides us with a reliable and valid measure with which we can study this growing phenomenon.

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“…In addition to demographic characteristics, other factors, including fear of missing out (56,57), perception of risk (57)(58)(59), attitudes (57), subjective norms (60), social networks (61), mobile phone addiction (14,16,62,63), and the need to use a mobile phone while walking (59) may also affect individuals' mobile phone use when walking.…”

mentioning

confidence: 99%

Psychological Factors Influencing College Students’ Mobile Phone Use While Walking

Liu,

Wei,

Zhu

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The likelihood of pedestrians exhibiting aberrant walking behaviors and being involved in traffic collisions increases substantially if they are distracted while walking because of using their mobile phones. To reduce the frequency with which pedestrians use their phones while walking, a detailed analysis of the elements that influence this behavior is required. This research studied people’s behavior and behavioral intentions to use mobile phones while walking, using an expanded version of the theory of planned behavior. Four hundred sixty-three college students completed an online survey that assessed attitudes and behaviors related to mobile phone use. The results showed that attitude, perceived behavioral control, mobile phone addiction, crash history, and prototype similarity significantly affected behavioral intentions, whereas subjective norms, descriptive norms, perceived risk, and prototype favorability did not. In addition, behavioral intentions, perceived behavioral control, mobile phone addiction, and crash history had significant impacts on behavior, whereas perceived risk did not. The results from this study could be utilized to develop interventions to reduce the frequency with which college students use their mobile phones while walking, which is essential for improving road safety.

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Predictors of cellphone-related distracted walking among college students

Cited by 7 publications

References 36 publications

A Review of Recent Low-dose Research and Recommendations for Moving Forward

A Review of Recent Low-dose Research and Recommendations for Moving Forward

The problematic use of smartphones in public: the development and validation of a measure of smartphone “zombie” behaviour

Psychological Factors Influencing College Students’ Mobile Phone Use While Walking

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