{"title":"Seamless switching, feedforward, and feedback mechanisms: Enhancing task performance and user perception in device switch","authors":"Na Liu, Yiyang Gong","doi":"10.1016/j.ergon.2024.103649","DOIUrl":null,"url":null,"abstract":"<div><p>In an era where digital multitasking is universal, the necessity to switch between devices is vital. The effect of switching modes between devices on the user experience remains unclear. This study investigates the impact of switching modes on task performance and user perception within interconnected device environments. A within-subject experiment utilizing memory recall tasks was implemented to test three switching modes: seamless switching, passive switching, and switching with feedforward and feedback. Task accuracy rate, perceived interruption, perceived control, and behavioral intention were measured. Results indicated that seamless switching outperformed passive switching in task accuracy rate. Passive switching elicited the highest level of perceived interruption, while switching with feedforward and feedback substantially improved the perceived control of users over seamless switching. The behavioral intention to use seamless switching and switching with feedforward and feedback was considerably higher than that for passive switching. This research provides insights into the comparative benefits of seamless switching and switching with feedforward and feedback, particularly regarding their influence on user perception. Practical implications for the design of interconnected device switching and the management of device ecosystems are also presented.</p></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169814124001057","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
In an era where digital multitasking is universal, the necessity to switch between devices is vital. The effect of switching modes between devices on the user experience remains unclear. This study investigates the impact of switching modes on task performance and user perception within interconnected device environments. A within-subject experiment utilizing memory recall tasks was implemented to test three switching modes: seamless switching, passive switching, and switching with feedforward and feedback. Task accuracy rate, perceived interruption, perceived control, and behavioral intention were measured. Results indicated that seamless switching outperformed passive switching in task accuracy rate. Passive switching elicited the highest level of perceived interruption, while switching with feedforward and feedback substantially improved the perceived control of users over seamless switching. The behavioral intention to use seamless switching and switching with feedforward and feedback was considerably higher than that for passive switching. This research provides insights into the comparative benefits of seamless switching and switching with feedforward and feedback, particularly regarding their influence on user perception. Practical implications for the design of interconnected device switching and the management of device ecosystems are also presented.
期刊介绍:
The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.