Guidance or No Guidance? A Decision Tree Can Help

Ceneda, Davide; Gschwandtner, Theresia; May, Thorsten; Miksch, Silvia; Streit, Marc; Tominski, Christian

doi:10.2312/eurova.20181107

Cited by 5 publications

(4 citation statements)

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“…A decision tree was proposed for deciding if guidance is needed and to what degree. 9 Five key requirements for effective guidance were established -namely for guidance to be available, trustworthy, adaptive, controllable, and non-disruptive. 2 The conceptual space covers a wide range of approaches that have proven useful in assisting users to resolve their knowledge gaps.…”

Section: Guidance For Resolving Knowledge Gapsmentioning

confidence: 99%

“…7 The wide and diverse usage of guidance validates the usefulness of the concept and provides a solid foundation for research on guidance mechanisms. With a clear characterization and a broad range of applications, recent research extends guidance beyond resolving knowledge gaps, 8 discusses when guidance should be used, 9 and lists the considerations to be made when designing guidance. 2 However, a generic guidance method for designing and providing guidance across its various applications and goals is still missing.…”

Section: Introductionmentioning

confidence: 99%

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Providing visual analytics guidance through decision support

Han

Schulz

2023

Information Visualization

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Guidance in visual analytics aims to support users in accomplishing their analytical goals and generating insights. Different approaches for guidance are widely adopted in many tools and frameworks for various purposes – from helping to focus on relevant data subspaces to selecting suitable visualization techniques. With each of these different purposes come specific considerations on how to provide the needed guidance. In this paper, we propose a generic method for making these considerations by framing the guidance problem as a decision problem and applying decision making theory and models toward its solution. This method passes through three stages: (1) identifying decision points; (2) deriving and evaluating alternatives; (3) visualizing the resulting alternatives to support users in comparing them and making their choice. Our method is realized as a set of practical worksheets and illustrated by applying it to a use case of providing guidance among different clustering methods. Finally, we compare our method with existing guidance frameworks to relate and delineate the respective goals and contributions of each.

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Section: Guidance For Resolving Knowledge Gapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Providing visual analytics guidance through decision support

Han

Schulz

2023

Information Visualization

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“…Regarding guidance, Ceneda et al. [ CGM*17 , CGM*18 , CGM19 ] defined it as a computer‐assisted process that resolves a knowledge gap of the analyst in an interactive VA session. It received lots of attention in recent years [ CAS*18 , SJB*20 ].…”

Section: Open Challenges and Future Workmentioning

confidence: 99%

Visual Parameter Space Exploration in Time and Space

Piccolotto

Bögl

Miksch

2023

Computer Graphics Forum

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Computational models, such as simulations, are central to a wide range of fields in science and industry. Those models take input parameters and produce some output. To fully exploit their utility, relations between parameters and outputs must be understood. These include, for example, which parameter setting produces the best result (optimization) or which ranges of parameter settings produce a wide variety of results (sensitivity). Such tasks are often difficult to achieve for various reasons, for example, the size of the parameter space, and supported with visual analytics. In this paper, we survey visual parameter space exploration (VPSE) systems involving spatial and temporal data. We focus on interactive visualizations and user interfaces. Through thematic analysis of the surveyed papers, we identify common workflow steps and approaches to support them. We also identify topics for future work that will help enable VPSE on a greater variety of computational models.

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“…In general, guidance approaches can provide a variety of support to resolve knowledge gaps of different types (e.g., for supporting data manipulation [28], or to support the classification and modeling of data [13]) in different situations [19,24,27]. Besides practical implementations, guidance has also been studied extensively from a theoretical point of view [8,14]. Recently, researchers made further steps to bridge this theory to practice, resulting in frameworks and guidelines for designing and implementing effective guidance [22,45].…”

Section: Introductionmentioning

confidence: 99%

A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics

Ceneda,

Collins,

El-Assady

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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Guidance or No Guidance? A Decision Tree Can Help

Cited by 5 publications

References 0 publications

Providing visual analytics guidance through decision support

Providing visual analytics guidance through decision support

Visual Parameter Space Exploration in Time and Space

A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics

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