Links of personality traits to media multitasking: Conscientiousness predicts mobile phone use in the college classroom

Toyama, Masahiro; Hayashi, Yusuke

doi:10.1007/s12144-020-01258-2

Cited by 9 publications

(12 citation statements)

References 44 publications

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“…In this task, hypothetical scenarios with the two social situations described above were presented, in which participants rated their likelihood of immediately replying to the text message versus waiting to reply until the class is over when the delay to the end of the class was manipulated. Referring to the limited previous finding (Toyama & Hayashi, 2021) as well as implications of major facets of conscientiousness (e.g., self-regulation, self-control; Roberts et al, 2014), we speculated that higher conscientiousness might predict higher likelihood of waiting to reply to the text message, possibly regardless of the situations. However, due to the lack of sufficient previous research that specifically addressed the role of such situational factors on in-class media multitasking, we did not make any specific hypotheses but addressed our research question in an exploratory manner.…”

Section: Purpose Of the Present Studymentioning

confidence: 92%

“…Although personality may play some roles in social behaviors such as mobile phone use, those behaviors may be accounted for by both personality and specific contexts (Caspi, 1987). While media multitasking has become more prevalent and problematic in the college classroom as discussed earlier, there is only one study (Toyama & Hayashi, 2021), at least to the best of our knowledge, that addressed associations between personality traits and mobile phone use in the context of the college classroom. The study showed that after controlling for general mobile phone use and impulse control as well as demographic characteristics, only conscientiousness predicted (less) mobile phone use in the college classroom while the other Big Five traits did not.…”

Section: Big Five Personality Traits and Media Multitaskingmentioning

confidence: 99%

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Personality and media multitasking in the college classroom: Context-dependent implications of conscientiousness and agreeableness

Toyama

Hayashi

2021

Curr Psychol

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Both personality and contexts may account for media multitasking in the college classroom. As this area of research was lacking, the present study examined which personality traits would be associated with in-class media multitasking in different contexts of text messaging. Undergraduate students (83 males and 65 females; average age: 20.0 [SD = 4.3]) completed a questionnaire on demographic characteristics, general text-messaging behavior, and Big Five personality traits as well as a delay-discounting task. This task had two hypothetical scenarios in which participants received either an urgent text message from their significant other (Significant Other condition) or a non-urgent message from a casual friend (Casual Friend condition), and they rated their likelihood of immediately replying to the message during the class versus waiting to reply until the class was over. For each of the conditions, hierarchical regression analyses were conducted to examine whether personality traits predicted the likelihood of waiting, after controlling for demographic characteristics and general text-messaging behavior. Whereas only conscientiousness independently predicted the likelihood of waiting in the Significant Other condition (β = .20, p = .033), only agreeableness independently predicted the likelihood in the Casual Friend condition (β = .27, p = .002). These findings contribute to the sparse literature on links of personality traits and in-class media multitasking by highlighting the possible context-dependent aspects of these links. The findings also indicate potential directions of future research including exploring approaches to reducing media multitasking in the college classroom while taking both personality and specific contexts into consideration.

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Section: Purpose Of the Present Studymentioning

confidence: 92%

Section: Big Five Personality Traits and Media Multitaskingmentioning

confidence: 99%

Personality and media multitasking in the college classroom: Context-dependent implications of conscientiousness and agreeableness

Toyama

Hayashi

2021

Curr Psychol

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“…After a public emergency, the media will report on the scene as soon as possible and disseminate vital information to the public in the shortest period possible ( Song and Xin, 2016 ). The advantage of the new network media is that people are no longer passive recipients of information; instead, everyone can become a publisher and disseminator of information ( Toyama and Hayashi, 2021 ). Moreover, during large-scale public emergencies, the public is prone to negative feelings such as terror and rage, and they are eager to learn the truth about the situation.…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

“…On the other hand, as event participants, they may not be in a good position to speak directly with government officials ( Falatoonitoosi et al, 2013 ). Media intermediaries must serve as a link between the government and the general public in order to discuss and resolve crucial issues ( Toyama and Hayashi, 2021 ). The public has choose more media help when it encounters group public emergencies, or publish and disseminate based on the online media platform, because the media’s positioning not only guides public opinion, but also because the public will choose more media help when it encounters group public emergencies, the media and public opinion have a two-way influence ( Hou and Xu, 2021 ).…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

Analysis of Factors Influencing Public Behavior Decision Making: Under Mass Incidents

2022

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Most mass incidents are created by economic or social concerns brought on by fast socioeconomic change and poor local government. The number of mass occurrences in China has significantly increased in recent years, putting the country’s steady growth and public behavior decision-making in harm. We examine the factors that influence public behavior decision-making in the following significant factors, contributing to the development of effective prevention and response strategies. The structural equation (SEM) approach is used to analyze the main determinants influencing public behavioral decisions in the aftermath of mass incidents using surveys of a large population. The finding shows that media plays a mediating role in the relationship between mass occurrences and influencing factors impacting public emotion. The direct and indirect effects of public behavior decision-making and its role increasingly social changes as things happen, government credibility, media plays mediating role in public emotional factors. All directly impact public behavior decision-making, while emotional factors have an indirect impact via media intermediaries. The escalation of public behavior decisions is seen as a result of structural transmission and the increase of dynamic as well as other factors.

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“…ICT is an umbrella word that refers to any kind of communication, including radio, television, mobile phones, computer and network hardware, and satellite systems, as well as the numerous services and appliances that accompany them, such as video conferencing and distance learning (Tkiouat et al, 2021;Xiaolong et al, 2021). As a result, it is obvious that social networking is an essential element of ICTs, and that ICTs plays a role in delivering excellent humanistic services, including educational services at various levels, which may help forecast the procrastination of source employee (Chen et al, 2021;Toyama and Hayashi, 2021). Employees who spend excessive time on nonorganizational ICT activities run the danger of procrastinating, resulting in poor performance despite the organizational benefits of ICTs (le Roux et al, 2021).…”

Section: Multitasking and Procrastination Behaviormentioning

confidence: 99%

Does Polychronicity Undermine Procrastination Behavior Through ICTs? Insights From Multi-Level Modeling

et al. 2021

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Information and communication technologies (ICTs) are widely used in developing nations as a dynamic solution for socio-economic development. Pakistan has seen a rapid increase in the use of ICTs during the previous decade. The purpose of this study is to examine how polychronicity affects procrastination behavior when it is influenced by ICTs. According to this study, individuals are described as a dynamic and destructive kind of self-regulation failure in ICTs. Procrastination is a behavior that prevents emerging economies from growing from developing countries. We researched the group-level polychronicity influence of the individual behavior and the mechanism of procrastination from a team-level perspective of worker behavior. This study data collected 231 workers from 76 groups working in ICTs in Pakistan. The results revealed that the group polychronicity and the behavior of group members were positively linked by taking the work overload as a mediator. Moreover, group cohesiveness moderates the role between polychronicity and work overload diminishing the mediation procession between-group polychronicity and individual procrastination. The practical importance of this study is to understand the causes of procrastination, and how to decrease this obstacle to a fairer workplace. It also helps to decide the professional route that is most suited to personality characteristics.

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Links of personality traits to media multitasking: Conscientiousness predicts mobile phone use in the college classroom

Cited by 9 publications

References 44 publications

Personality and media multitasking in the college classroom: Context-dependent implications of conscientiousness and agreeableness

Personality and media multitasking in the college classroom: Context-dependent implications of conscientiousness and agreeableness

Analysis of Factors Influencing Public Behavior Decision Making: Under Mass Incidents

Does Polychronicity Undermine Procrastination Behavior Through ICTs? Insights From Multi-Level Modeling

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