Purpose

Smartphone multitasking behavior has become prevalent in our daily lives, yet factors influencing smartphone multitasking behavior have not been fully investigated. This study aimed to examine the roles of a set of demographic, personality and motivational factors on smartphone multitasking behavior, and how these factors were related to general and application-specific types of smartphone multitasking behavior.

Design/methodology/approach

A cross-sectional study was conducted in which 2,659 smartphone users were invited to complete an online survey on smartphone multitasking behavior. Hierarchical multiple regression analyses were used to examine the roles of demographic, personality and motivational factors on smartphone multitasking behavior.

Findings

The results showed that, in general, demographic factors, such as gender, age, occupation status, education and smartphone usage time significantly predicted smartphone multitasking behavior. People characterized by agreeableness, extraversion, neuroticism and openness to experience were more likely to multitask with smartphones. Information seeking, efficiency and habit motivations were identified as major motivational factors for smartphone multitasking behavior. The roles of demographic, personality and motivational factors differed much across varied types of application-specific smartphone multitasking behavior.

Originality/value

This study extends and advances the literature on media multitasking, smartphone multitasking in particular, by identifying a set of demographic, personality and motivational factors as antecedents of smartphone multitasking behavior. In addition, this study revealed the differentiated roles of the above-mentioned factors across varied types of smartphone application usages. The findings provide important implications for practitioners to tailor smartphone applications and services to different target smartphone users and use situations.

中文翻译：

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智能手机多任务处理的前因：人口统计、个性和动机的作用

目的

智能手机多任务处理行为在我们的日常生活中变得普遍，但影响智能手机多任务处理行为的因素尚未得到充分研究。本研究旨在检查一组人口统计学、个性和动机因素对智能手机多任务处理行为的作用，以及这些因素如何与智能手机多任务处理行为的一般和特定应用类型相关。

设计/方法/方法

进行了一项横断面研究，邀请 2,659 名智能手机用户完成一项关于智能手机多任务处理行为的在线调查。分层多元回归分析用于检查人口统计、个性和动机因素对智能手机多任务处理行为的作用。

发现

结果表明，一般而言，人口统计因素，如性别、年龄、职业状态、教育和智能手机使用时间，显着预测智能手机多任务处理行为。以随和、外向、神经质和开放体验为特征的人更有可能使用智能手机同时处理多项任务。信息寻求、效率和习惯动机被确定为智能手机多任务处理行为的主要动机因素。人口统计、个性和动机因素的作用在不同类型的特定于应用程序的智能手机多任务处理行为中大不相同。

原创性/价值

本研究通过确定一组人口统计、个性和动机因素作为智能手机多任务处理行为的前因，扩展和推进了媒体多任务处理，特别是智能手机多任务处理的文献。此外，这项研究揭示了上述因素在不同类型的智能手机应用程序使用中的不同作用。这些发现为从业者针对不同的目标智能手机用户和使用情况定制智能手机应用程序和服务提供了重要意义。