Reviewing Automated Sensor-Based Visitor Tracking Studies: Beyond Traditional Observational Methods?

IF 1.6 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM
Lærke Mygind, P. Bentsen
{"title":"Reviewing Automated Sensor-Based Visitor Tracking Studies: Beyond Traditional Observational Methods?","authors":"Lærke Mygind, P. Bentsen","doi":"10.1080/10645578.2017.1404351","DOIUrl":null,"url":null,"abstract":"ABSTRACT The method of timing and tracking has a long history within visitor studies and exhibition evaluation. With an increase in indoor tracking research, sensor-based positioning tool usage in museums has grown, as have expectations regarding the efficacy of technological sensing systems. This literature review identifies emerging trends in sensor-based tracking methods used for museum visitor studies. Ten studies are identified, in which five sensor-based solutions are used to access visitor movement in museum settings. These are compared with more established observational timing and tracking methods in terms of obtained level of detail, accuracy, level of obtrusiveness, automation of data entry, ability to time concurrent behaviors, and amount of observer training needed. Although individual sensor-based and traditional, observational methods had both strengths and weaknesses, all sensor-based timing and tracking methods provided automated data entry and the opportunity to track a number of visitors simultaneously regardless of the available personnel.","PeriodicalId":45516,"journal":{"name":"Visitor Studies","volume":"20 1","pages":"202 - 217"},"PeriodicalIF":1.6000,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10645578.2017.1404351","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visitor Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10645578.2017.1404351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 12

Abstract

ABSTRACT The method of timing and tracking has a long history within visitor studies and exhibition evaluation. With an increase in indoor tracking research, sensor-based positioning tool usage in museums has grown, as have expectations regarding the efficacy of technological sensing systems. This literature review identifies emerging trends in sensor-based tracking methods used for museum visitor studies. Ten studies are identified, in which five sensor-based solutions are used to access visitor movement in museum settings. These are compared with more established observational timing and tracking methods in terms of obtained level of detail, accuracy, level of obtrusiveness, automation of data entry, ability to time concurrent behaviors, and amount of observer training needed. Although individual sensor-based and traditional, observational methods had both strengths and weaknesses, all sensor-based timing and tracking methods provided automated data entry and the opportunity to track a number of visitors simultaneously regardless of the available personnel.
回顾基于传感器的访客自动跟踪研究:超越传统的观察方法?
时间和跟踪方法在游客研究和展览评估中有着悠久的历史。随着室内跟踪研究的增加,博物馆中基于传感器的定位工具的使用也在增加,人们对技术传感系统功效的期望也在增加。这篇文献综述确定了博物馆游客研究中使用的基于传感器的跟踪方法的新趋势。确定了十项研究,其中五项基于传感器的解决方案用于访问博物馆环境中的游客动态。在获得的细节水平、准确性、突兀性水平、数据输入的自动化、对并发行为进行计时的能力以及所需的观察者训练量方面,将这些方法与更成熟的观察计时和跟踪方法进行了比较。尽管基于单个传感器和传统的观测方法既有优点也有缺点,但所有基于传感器的计时和跟踪方法都提供了自动数据输入,并有机会同时跟踪许多访客,而不考虑现有人员。
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
Visitor Studies
Visitor Studies HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
2.90
自引率
13.30%
发文量
9
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信