A task-based taxonomy of cognitive biases for information visualization
Information visualization designers strive to design data displays that allow for efficient
exploration, analysis, and communication of patterns in data, leading to informed decisions …
exploration, analysis, and communication of patterns in data, leading to informed decisions …
Recent research advances on interactive machine learning
Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …
human with a machine learner, which is widely used by researchers and practitioners to …
Comparing visual-interactive labeling with active learning: An experimental study
Labeling data instances is an important task in machine learning and visual analytics. Both
fields provide a broad set of labeling strategies, whereby machine learning (and in particular …
fields provide a broad set of labeling strategies, whereby machine learning (and in particular …
A survey of visualization for smart manufacturing
In smart manufacturing, people are facing an increasing amount of industrial data derived
from various digitalized and connected sources in all kinds of formats. Analyzing and …
from various digitalized and connected sources in all kinds of formats. Analyzing and …
Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL)
Business failure is an important issue for companies in the 21st century, and green business
is of global concern. Therefore, it is of vital importance to reveal the critical factors that could …
is of global concern. Therefore, it is of vital importance to reveal the critical factors that could …
A critical reflection on visualization research: Where do decision making tasks hide?
It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …
making, but is this true? We conduct a critical investigation on whether the activity of …
The unmet data visualization needs of decision makers within organizations
When an organization chooses one course of action over alternatives, this task typically falls
on a decision maker with relevant knowledge, experience, and understanding of context …
on a decision maker with relevant knowledge, experience, and understanding of context …
From information to choice: A critical inquiry into visualization tools for decision making
In the face of complex decisions, people often engage in a three-stage process that spans
from (1) exploring and analyzing pertinent information (intelligence);(2) generating and …
from (1) exploring and analyzing pertinent information (intelligence);(2) generating and …
Conceptual and methodological issues in evaluating multidimensional visualizations for decision support
We explore how to rigorously evaluate multidimensional visualizations for their ability to
support decision making. We first define multi-attribute choice tasks, a type of decision task …
support decision making. We first define multi-attribute choice tasks, a type of decision task …
Graphical enhancements for effective exemplar identification in contextual data visualizations
An exemplar is an entity that represents a desirable instance in a multi-attribute
configuration space. It offers certain strengths in some of its attributes without unduly …
configuration space. It offers certain strengths in some of its attributes without unduly …