Human Factors – Valcri

Analytic Behavior and Trust Building in Visual Analytics.

Ms Haider — Wed, 28 Sep 2016 08:42:33 +0000

D. Sacha, I. Boesecke, J. Fuchs and D. A. Keim. Analytic Behavior and Trust Building in Visual Analytics. Eurographics Conference on Visualization (EuroVis) – Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20161176, 2016.

URL: https://diglib.eg.org/handle/10.2312/eurovisshort20161176

Keywords: H.1.2 [User/Machine System]: Human factors—Human information processing H.5.2 [User Interfaces]: Evaluation/methodology—

Warsaw Operationalisation Meeting April 2016

Ms Haider — Tue, 19 Apr 2016 13:20:19 +0000

A meeting with the main objective to work on the operationalisation of the four design principles imagination, insight, transparency, and fluidity & rigour took place in Warsaw on 18-19th April 2016. About in sum 15 people from the Human Issues group and the evaluation group attended this meeting.

Human Factors and Ergonomics Society: 2015 Annual Meeting

valcriTeam — Fri, 30 Oct 2015 15:23:29 +0000

This week we presented our work on human issues at the annual meeting of The Human Factors and Ergonomics Society HFES 2015. The conference of the world’s largest scientific association for human factors/ergonomics professionals was held in L.A. this year, which was again a great opportunity to exchange research results, discussions and getting to know new people.
Members of the Consortium shared their insights and presented two papers in the sensemaking and analytics session of the cognitive engineering and decision making group:

Haider, Johanna; Pohl, Margit; Hillemann, Eva; Attfield, Simon; Passmore, Peter and Wong, B.L. William: Exploring the Challenges of Implementing Guidelines for the Design of Visual Analytics Systems. Human Factors and Ergonomics Society 2015 Annual Meeting, 26th – 30th October, Los Angeles, (pp. tba)
Wong, B.L. William, Kodagoda, Neesha, Attfield, Simon: How Analysts Think: Inference Making Strategies. Human Factors and Ergonomics Society 2015 Annual Meeting, 26th – 30th October, Los Angeles. (pp. tba)

The Role of Uncertainty, Awareness, and Trust in Visual Analytics

valcriTeam — Mon, 19 Oct 2015 16:52:23 +0000

D. Sacha, H. Senaratne, B. C. Kwon, G. Ellis, and D. A. Keim, “The Role of Uncertainty, Awareness, and Trust in Visual Analytics,” IEEE Transactions on Visualization and Computer Graphics, vol. 22, no. 1, pp. 240–249, Jan. 2016.

Abstract:

Visual Analytics supports humans in generating knowledge from large and often complex datasets. Evidence is collected, collated and cross-linked with our existing knowledge. In the process, a myriad of analytical and visualisation techniques are employed to generate a visual representation of the data. These often introduce their own uncertainties, in addition to the ones inherent in the data, and these propagated and compounded uncertainties can result in impaired decision making. The user’s confidence or trust in the results depends on the extent of user’s awareness of the underlying uncertainties generated on the system side. This paper unpacks the uncertainties that propagate through visual analytics systems, illustrates how human’s perceptual and cognitive biases influence the user’s awareness of such uncertainties, and how this affects the user’s trust building. The knowledge generation model for visual analytics is used to provide a terminology and framework to discuss the consequences of these aspects in knowledge construction and though examples, machine uncertainty is compared to human trust measures with provenance. Furthermore, guidelines for the design of uncertainty-aware systems are presented that can aid the user in better decision making.

keywords —Visual Analytics, Knowledge Generation, Uncertainty Measures and Propagation, Trust Building, Human Factors

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