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Article

IGV Short Scale to Assess Implicit Value of Visualizations through Explicit Interaction

1
School of Engineering, University Carlo Cattaneo—LIUC, 21053 Castellanza (VA), Italy
2
Department of Informatics, Sistemics and Communication (DISCo), University of Milano-Bicocca, 20126 Milano, Italy
3
Department of Computer Science, University of Bari Aldo Moro, 70121 Bari, Italy
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(18), 6189; https://doi.org/10.3390/app10186189
Received: 30 July 2020 / Revised: 3 September 2020 / Accepted: 4 September 2020 / Published: 6 September 2020
(This article belongs to the Special Issue Implicit and Explicit Human-Computer Interaction)
This paper reports the assessment of the infographics-value (IGV) short scale, designed to measure the value in the use of infographics. The scale was made to assess the implicit quality dimensions of infographics. These dimensions were experienced during the execution of tasks in a contextualized scenario. Users were asked to retrieve a piece of information by explicitly interacting with the infographics. After usage, they were asked to rate quality dimensions of infographics, namely, usefulness, intuitiveness, clarity, informativity, and beauty; the overall value perceived from interacting with infographics was also included in the survey. Each quality dimension was coded as a six-point rating scale item, with overall value included. The proposed IGV short scale model was validated with 650 people. Our analysis confirmed that all considered dimensions in our scale were independently significant and contributed to assessing the implicit value of infographics. The IGV short scale is a lightweight but exhaustive tool to rapidly assess the implicit value of an explicit interaction with infographics in daily tasks, where value in use is crucial to measuring the situated effectiveness of visual tools. View Full-Text
Keywords: infographics; human-data interaction; infographics-value short scale; information quality; implicit and explicit visual interaction; regression analysis infographics; human-data interaction; infographics-value short scale; information quality; implicit and explicit visual interaction; regression analysis
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MDPI and ACS Style

Locoro, A.; Cabitza, F.; Ravarini, A.; Buono, P. IGV Short Scale to Assess Implicit Value of Visualizations through Explicit Interaction. Appl. Sci. 2020, 10, 6189. https://doi.org/10.3390/app10186189

AMA Style

Locoro A, Cabitza F, Ravarini A, Buono P. IGV Short Scale to Assess Implicit Value of Visualizations through Explicit Interaction. Applied Sciences. 2020; 10(18):6189. https://doi.org/10.3390/app10186189

Chicago/Turabian Style

Locoro, Angela, Federico Cabitza, Aurelio Ravarini, and Paolo Buono. 2020. "IGV Short Scale to Assess Implicit Value of Visualizations through Explicit Interaction" Applied Sciences 10, no. 18: 6189. https://doi.org/10.3390/app10186189

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