Towards a product design assessment of visual analytics in decision support applications: a systematic review

Abstract

There is currently an increasing effort to develop visual analytics (VA) tools that can support human analytical reasoning and decision making. In the last decade, advances in this field has allowed the application of various kinds of VA systems in real-world settings. While this represents a promising start from a product design perspective, part of the challenge to the research community is that current VA tools have evolved without due consideration of standardized design criteria and processes. Accordingly, some questions remain to be addressed on what are the useful, underlying attributes of effective VA tools and how their impact can be measured in human-product interaction. These considerations indicate a need to identify a specific range of VA tools and assess their capabilities through state-of-the-art empirical analysis. To address these issues, we conducted a systematic review of 470 VA papers published between 2006 and 2012. We report on the bibliometric techniques, the evaluation attributes and the metrics that were used to sample and analyze the body of literature. The analysis focused mainly on 26 papers that implemented visual analytics decision support tools. The results are presented in the form of B Ovo Adagha osadagha@ucalgary.ca Richard M. Levy six inductively derived design recommendations that, when taken together, uniquely contribute to the fields of product design and visual analytics.

Effects of Individual Differences in Working Memory on Plan Presentational Choices

“…In particular, Level 3 expands the situational awareness beyond the regular scope of understandability (c.f., Section 2.3.7). Adagha et al (2015) makes a case that standard usability metrics are inadequate for evaluating the effectiveness of visual analytics tools. In a systematic review of 470 papers on decision support in visual analytics they identify attributes of visual analytics tools, and how they were evaluated.…”

Human factors in cobot era: a review of modern production systems features

“…This section aims to present how the analysis has been conducted: a Systematic Literature Review, e.g (Adagha et al, 2017) ,. has been carried out.…”

Continuous maintenance and the future – Foundations and technological challenges

“…The visualisation tools, also known as visual analytics, synthesise multi-dimensional information and knowledge from complex and dynamic data in order to support assessment, planning and forecasting. Adagha et al [1] have presented a comprehensive analysis of the design of visual analytics (VA) tools and suggests four key attributes any VA tools should: provide multi user access to the data, support intuitive communication, support multiple and linked displays and track information flows between the users. Along with the tool development, there is also a requirement to use large visualisation spaces to display the large volume of heterogeneous data and support interaction with the users [138].…”