Visual data analysis can be envisioned as a collaboration of the user and the computational
system with the aim of completing a given task. Pursuing an effective system‐user …

Co-adaptive guidance aims to enable efficient human-machine collaboration in visual
analytics, as proposed by multiple theoretical frameworks. This paper bridges the gap …

Guidance has been proposed as a conceptual framework to understand how mixed‐
initiative visual analytics approaches can actively support users as they solve analytical …

Guidance is an emerging topic in the field of visual analytics. Guidance can support users in
pursuing their analytical goals more efficiently and help in making the analysis successful …

Providing effective guidance for users has long been an important and challenging task for
efficient exploratory visual analytics, especially when selecting variables for visualization in …

Trust‐ability, reputation, security and quality are the main concerns for public and private
financial institutions. To detect fraudulent behaviour, several techniques are applied …

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 …

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 …

Guidance can support users during the exploration and analysis of complex data. Previous
research focused on characterizing the theoretical aspects of guidance in visual analytics …

Providing guidance during a Visual Analytics session can support analysts in pursuing their
goals more efficiently. However, the effectiveness of guidance depends on many factors …