Encoding Variables, Evaluation Criteria, and Evaluation Methods for Data Physicalisations: A Review

Author:

Ranasinghe Champika1ORCID,Degbelo Auriol2ORCID

Affiliation:

1. Data Management & Biometrics, Faculty of Electrical Engineering, Mathematics & Computer Science, University of Twente, 7500 AE Enschede, The Netherlands

2. Chair of Geoinformatics, Faculty of Environmental Sciences, TU Dresden, 10162 Dresden, Germany

Abstract

Data physicalisations, or physical visualisations, represent data physically, using variable properties of physical media. As an emerging area, Data physicalisation research needs conceptual foundations to support thinking about and designing new physical representations of data and evaluating them. Yet, it remains unclear at the moment (i) what encoding variables are at the designer’s disposal during the creation of physicalisations, (ii) what evaluation criteria could be useful, and (iii) what methods can be used to evaluate physicalisations. This article addresses these three questions through a narrative review and a systematic review. The narrative review draws on the literature from Information Visualisation, HCI and Cartography to provide a holistic view of encoding variables for data. The systematic review looks closely into the evaluation criteria and methods that can be used to evaluate data physicalisations. Both reviews offer a conceptual framework for researchers and designers interested in designing and evaluating data physicalisations. The framework can be used as a common vocabulary to describe physicalisations and to identify design opportunities. We also proposed a seven-stage model for designing and evaluating physical data representations. The model can be used to guide the design of physicalisations and ideate along the stages identified. The evaluation criteria and methods extracted during the work can inform the assessment of existing and future data physicalisation artefacts.

Funder

German Research Foundation

Publisher

MDPI AG

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Neuroscience (miscellaneous)

Reference125 articles.

1. Begole, B., Kim, J., Inkpen, K., and Woo, W. (2015, January 23–28). Opportunities and challenges for data physicalization. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems—CHI ’15, Seoul, Republic of Korea.

2. van Loenhout, R., Ranasinghe, C., Degbelo, A., and Bouali, N. (May, January 30). Physicalizing Sustainable Development Goals Data: An Example with SDG 7 (Affordable and Clean Energy). Proceedings of the CHI Conference on Human Factors in Computing Systems Extended Abstracts, New Orleans, LA, USA.

3. Wakkary, R., Andersen, K., Odom, W., Desjardins, A., and Petersen, M.G. (2020, January 6–20). DayClo: An everyday table clock providing interaction with personal schedule data for self-reflection. Proceedings of the DIS’20: Designing Interactive Systems Conference 2020, Eindhoven, The Netherlands.

4. Brewster, S.A., Fitzpatrick, G., Cox, A.L., and Kostakos, V. (2019, January 4–9). Bookly: An interactive everyday artifact showing the time of physically accumulated reading activity. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, UK.

5. Menheere, D., Van Hartingsveldt, E., Birkebæk, M., Vos, S., and Lallemand, C. (July, January 28). Laina: Dynamic data physicalization for slow exercising feedback. Proceedings of the Designing Interactive Systems Conference 2021, virtual event.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3