The Effects of Hover Interface on Users’ Behavioral Multitasking Intention

Jinkyu Jang, Inseong Lee, Jinwoo Kim

Research output: Contribution to journalArticle

Abstract

As the number of features with smartphones is increasing, user interfaces have been advanced considerably with innovative ways for providing useful, multitasking interfaces. In particular, the z-axis of the user interface has been considered to help multitaskers control their smartphone more easily. However, relatively little research has been conducted on the significance of the z-axis on task switching. The main research goal of this study is to explain how a z-axis can affect the experience of multitasking on a mobile device. In particular, the authors focused on a hover interface because of its high functional relevance to multitasking as a form of task switching. Theoretically, the authors provide a conceptual model based on the concept of spatial presence. Systemically, they suggest the important system factors for implementing z-axis interface technology: controllability and naturalness. With regards to users, the authors assume that if the experience with the z-axis interface is increased, users’ intention to multitask is also increased, even when the task complexity is high. The influence of controllability on perceived spatial presence by the hover interface was negatively validated, and the influence of naturalness was positively validated. In addition, the influence of perceived spatial presence on users’ behavioral multitasking intention was positively validated. Finally, the influence from perceived spatial presence to users’ behavioral multitasking intention in the high level of task complexity was significantly stronger than in the low level. Implications and limitations of the study results are discussed in the final section of the article.

Original languageEnglish
Pages (from-to)537-548
Number of pages12
JournalInternational Journal of Human-Computer Interaction
Volume33
Issue number7
DOIs
Publication statusPublished - 2017 Jul 3

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All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications

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