Immersive information seeking–A scoping review of information seeking in virtual reality environments

IF 1.8 4区管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Information Science Pub Date : 2023-05-25 DOI:10.1177/01655515231174384

Maurice Schleußinger, Preben Hansen, R. Ramberg

{"title":"Immersive information seeking–A scoping review of information seeking in virtual reality environments","authors":"Maurice Schleußinger, Preben Hansen, R. Ramberg","doi":"10.1177/01655515231174384","DOIUrl":null,"url":null,"abstract":"Recently, virtual reality (VR) technology has become more widespread. Humans increasingly interact with information in VR, and a detailed look into those activities is warranted. Thus, a scoping literature review (PRISMA-ScR) is conducted. It overviews all relevant literature about information-seeking behaviour in VR, focusing on existing models and theories. Out of 536 publications, 37 qualify for this review. Eight publications show an understanding related to information behaviour theories from information science. Pressingly, no publications relate models, frameworks or general theories of information seeking to VR. This review overviews VR-related cognitive and behavioural human factors based on this research gap. Those factors include immersion and presence, affordances, embodiment, cognitive load, human error, flow and engagement. The review is concluded with an explorative framework for future research that is constructed with Marchionini’s process model of information seeking as a baseline and in conjunction with the discussed human factors.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/01655515231174384","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

Recently, virtual reality (VR) technology has become more widespread. Humans increasingly interact with information in VR, and a detailed look into those activities is warranted. Thus, a scoping literature review (PRISMA-ScR) is conducted. It overviews all relevant literature about information-seeking behaviour in VR, focusing on existing models and theories. Out of 536 publications, 37 qualify for this review. Eight publications show an understanding related to information behaviour theories from information science. Pressingly, no publications relate models, frameworks or general theories of information seeking to VR. This review overviews VR-related cognitive and behavioural human factors based on this research gap. Those factors include immersion and presence, affordances, embodiment, cognitive load, human error, flow and engagement. The review is concluded with an explorative framework for future research that is constructed with Marchionini’s process model of information seeking as a baseline and in conjunction with the discussed human factors.

查看原文本刊更多论文

沉浸式信息搜索——虚拟现实环境中信息搜索的范围综述

最近，虚拟现实(VR)技术变得越来越普遍。人类在虚拟现实中与信息的互动越来越多，对这些活动的详细研究是有必要的。因此，我们进行了范围文献综述(PRISMA-ScR)。它概述了关于VR中信息寻求行为的所有相关文献，重点是现有的模型和理论。在536篇出版物中，有37篇符合本综述的条件。八篇出版物展示了与信息科学的信息行为理论相关的理解。紧迫的是，没有出版物涉及模型，框架或一般理论的信息寻求虚拟现实。本文综述了基于这一研究缺口的vr相关认知和行为人为因素。这些因素包括沉浸感和存在感、可视性、体现、认知负荷、人为错误、心流和粘性。本文以马尔基翁尼的信息寻求过程模型为基础，结合所讨论的人为因素，为未来的研究构建了一个探索性框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Information Science 工程技术-计算机：信息系统

CiteScore

6.80

自引率

8.30%

发文量

121

审稿时长

4 months

期刊介绍： The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.