Mixed-initiative visual analytics using task-driven recommendations

Cook, Kristin A.; Cramer, Nick; Israël, David; Wolverton, Michael; Bruce, Joe; Burtner, Russ; Endert, Alex

doi:10.1109/vast.2015.7347625

Cited by 32 publications

(14 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Obtaining and the correct interpretation of empirical data creates the conditions for construction of visualization tools, which have a reasonable and guided cognitive effect [5]. To achieve this goal, a technique of studying possibilities of visual representation has been developed, it was tested on several versions of means of visual analysis of multidimensional heterogeneous data.…”

Section: Methodsmentioning

confidence: 99%

Quantitative assessment of cognitive interpretability of visualization

Zakharova

Vekhter

Shklyar

et al. 2018

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

Quantitative assessment of cognitive interpretability of visualization

Zakharova

Vekhter

Shklyar

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Either entity can act as the initiator of a task or process -there is no boundary to the level of autonomy or role that either entity can take. The computer could either be passive or active with varying degrees of intelligence [44,45]. Either entity can initiate a new flow of information depending on the autonomy and role of the entity, providing the flexibility to describe different discourse patterns such as those seen in the Human Cognition Model [16].…”

Section: Bilateral Discoursementioning

confidence: 99%

“…The role of some recent analytics systems have introduced the capability to recommend graphs based on the tasks a user is performing [48,49,44]. Other VA research is evolving the previous limits of a computers role, and changing the human role, with developments in mixed-initiative systems [44,50].…”

Section: Divisions Of Labourmentioning

confidence: 99%

Towards a Theory of Analytical Behaviour: A Model of Decision-Making in Visual Analytics

Booth

Gibbins

Galanis

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

This paper introduces a descriptive model of the human-computer processes that lead to decision-making in visual analytics. A survey of nine models from the visual analytics and HCI literature are presented to account for different perspectives such as sense-making, reasoning, and low-level human-computer interactions. The survey examines the people and computers (entities) presented in the models, the divisions of labour between entities (both physical and role-based), the behaviour of both people and machines as constrained by their roles and agency, and finally the elements and processes which define the flow of data both within and between entities. The survey informs the identification of four observations that characterise analytical behaviour-defined as decision-making facilitated by visual analytics: bilateral discourse, divisions of labour, mixed-synchronicity information flows, and bounded behaviour. Based on these principles, a descriptive model is presented as a contribution towards a theory of analytical behaviour. The future intention is to apply prospect theory, a economic model of decision-making under uncertainty, to the study of analytical behaviour. It is our assertion that to apply prospect theory first requires a descriptive model of the processes that facilitate decision-making in visual analytics. We conclude it necessary to measure the perception of risk in future work in order to apply prospect theory to the study of analytical behaviour using our proposed model.

show abstract

“…Other techniques structure solutions around Pirolli and Card's sense-making model [30], combining statistical modelling with sense-making under the proposed 'semantic interaction design space' [31] and mixed-initiative and recommender techniques [32,33,34].…”

Section: Exploratory Investigationmentioning

confidence: 99%

“…Task taxonomies have been applied to track the activities of users in the perceptual task design space, leading to systems that offer visualisation recommendations [34] and mixed-initiative tools that observe and adapt to the task the user is performing [32]. These examples also appeared as solutions in the exploratory analysis design space.…”

Section: Perceptual Tasksmentioning

confidence: 99%

Design Spaces in Visual Analytics Based on Goals: Analytical Behaviour, Exploratory Investigation, Information Design & Perceptual Tasks

Booth

Gibbins

Galanis

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

This paper considers a number of perspectives on design spaces in visual analytics and proposes a new set of four design spaces, based on user goals. Three of the user goals are derived from the literature and are categorised under the terms exploratory investigation, perceptual tasks, and information design. The fourth goal is categorised as analytical behaviour; a recently defined term referring to the study of decision-making facilitated by visual analytics. This paper contributes to the literature on decision-making in visual analytics with a survey of real-world applications within the analytical behaviour design space and by providing a new perspective on design spaces. Central to our analysis is the introduction of decision concepts and theories from economics into a visual analytics context. Given the recent interest in decision-making we wanted to understand the emerging topic of analytical behaviour as a design space and found it necessary to look at more than just decision-making to make a valuable contribution. The result is an initial framework suitable for use in the analysis or design of analytical behaviour applications.

show abstract

Mixed-initiative visual analytics using task-driven recommendations

Cited by 32 publications

References 29 publications

Quantitative assessment of cognitive interpretability of visualization

Quantitative assessment of cognitive interpretability of visualization

Towards a Theory of Analytical Behaviour: A Model of Decision-Making in Visual Analytics

Design Spaces in Visual Analytics Based on Goals: Analytical Behaviour, Exploratory Investigation, Information Design & Perceptual Tasks

Contact Info

Product

Resources

About