CHI

Problem--based visualization research provides explicit guidance toward identifying and designing for the needs of users, but absent is more concrete guidance toward factors external to a user's needs that also have implications for visualization design ...

In applied visualization research, artifacts are shaped by a series of small design decisions, many of which are evaluated quickly and informally via methods that often go unreported and unverified. Such design decisions are influenced not only by ...

In this position paper, we extend design critiques as a form of evaluation to visualization, specifically focusing on unique qualities of critiques that are different than other types of evaluation by inspection, such as heuristic evaluation, models, ...

We explore means of designing and evaluating initial visualization ideas, with concrete and realistic data in cases where data is not readily available. Our approach is useful in exploring new domains and avenues for visualization, and contrasts other ...

While traditional HCI heuristics can be used to find usability issues also from information visualization systems, specialized heuristics tailored for the information visualization (InfoViz) domain can be more effective and focus on the special ...

Evaluation criteria like expressiveness and effectiveness favor optimal use of space and visual encoding channels in a single visualization. However, individually optimized views may be inconsistent with one another when presented as a set in rec-...

In this paper, we argue that information theoretic measures may provide a robust, broadly applicable, repeatable metric to assess how a system enables people to reduce high-dimensional data into topically relevant subsets of information. Explosive ...

The trend of exploratory visualization development has driven the visual analytics (VA) community to design special evaluation methods. The main goals of these evaluations are to understand the exploration process and improve it by recording users' ...

Visual analytics of eye tracking data is a common tool for evaluation studies across diverse fields. In this position paper we propose a novel user-driven interactive data exploration tool for understanding the characteristics of eye gaze movements and ...

In this position paper we encourage the use of eye tracking measurements to investigate users' cognitive load while interacting with a system. We start with an overview of how eye movements can be interpreted to provide insight about cognitive processes ...

Data exploration requires forming analysis goals, planning actions and evaluating results effectively, all of which are complex cognitive activities. Therefore, the data exploration and analysis process can be improved through a principled and ...

Users of information visualization systems build up internal representations of the displayed information and the system --mental models -- and constantly update them during interaction with the system. Though this theoretical approach was postulated as ...

Characterizing the problem domain and understanding users' practices and processes are recognized as important steps in order to design and validate visualization, but are often disregarded in practice, also because of their complexity. We introduce the ...

We argue that there is a need for substantially more research on the use of generative data models in the validation and evaluation of visualization techniques. For example, user studies will require the display of representative and uncon-founded ...

With their increasingly widespread use, mobile devices have become a highly relevant target environment for Information Visualization. However, far too little attention has been paid to evaluation of interactive visualization techniques on mobile ...

Traditionally, studies of data visualization techniques and systems have evaluated visualizations with respect to usability goals such as effectiveness and efficiency. These studies assess performance-related metrics such as time and correctness of ...

Evaluating a visualization that depicts uncertainty is fraught with challenges due to the complex psychology of uncertainty. However, relatively little attention is paid to selecting and motivating a chosen interpretation or elicitation method for ...

Design studies are projects in which visualization researchers seek to design visualization tools that help solving challenging real-world problems faced by domain experts. While design studies have become a vital component of visualization research, ...

If we were to design Information Visualization from scratch, we would start with the basics: understand the principles of perception, test how they apply to different data encodings, build up those encodings to see if the principles still apply, etc. ...