Public visualization displays of citizen data: Design, impact and implications. Issue 81 (September 2015)

• Record Type: Journal Article
• Authors: Valkanova, Nina; Jorda, Sergi; Vande Moere, Andrew
• Is Part Of: International journal of human-computer studies. Issue 81(2015)
• Page Start: 4
• Page End: 16
• Publication Date: 2015-09
• Subjects: Public display -- Urban screen -- Urban visualization -- In-the-wild study -- Awareness -- Reflection -- Discussion -- Evaluation -- Sustainability -- Civic engagement -- Persuasive technology; Human-machine systems -- Periodicals; Systems engineering -- Periodicals; Human engineering -- Periodicals; Human engineering; Human-machine systems; Systems engineering; Periodicals; Electronic journals; 004.019
• DOI: 10.1016/j.ijhcs.2015.02.005
• Languages: English
• ISSNs: 1071-5819

Abstract

Abstract: In this paper we propose citizen-driven, public data visualization as a tool to support social and civic purposes in public spaces. We argue for the potential of this approach, motivating it with recent trends and developments in the areas of information visualization, urban computing, and urban screens, and we layout a transdisciplinary research approach and methodology. Through three studies approaching our research goal from design, empirical, and reflective perspectives, we show how visualization interfaces, situated in public spaces can improve perception, and lead to sustained behavior change; can increase social awareness and discourse; and can influence meaningful participation and a range of social interactions related to locally relevant topics. We conclude by discussing implications for the design, use and evaluation of citizen-driven public visualization as a tool increase public awareness, participation and discourse. Highlights: Motivates citizen-driven, public data visualization as tool to support civic purposes. Contextualized feedback can improve perception and lead to sustained behavior change. Visualization of individual and community data can increase awareness and discussion. Identifiability and playfulness can influence participation and social interaction. Discusses implications for design, use and evaluation of public data visualization.