234 research outputs found
Comprehension of Procedural Visual Business Process Models - A Literature Review
Visual process models are meant to facilitate comprehension of business processes. However, in prac- tice, process models can be difficult to understand. The main goal of this article is to clarify the sources of cog- nitive effort in comprehending process models. The article undertakes a comprehensive descriptive review of empiri- cal and theoretical work in order to categorize and sum- marize systematically existing findings on the factors that influence comprehension of visual process models. Methodologically, the article builds on a review of forty empirical studies that measure objective comprehension of process models, seven studies that measure subjective comprehension and user preferences, and thirty-two arti- cles that discuss the factors that influence the comprehen- sion of process models. The article provides information systems researchers with an overview of the empirical state of the art of process model comprehension and provides recommendations for new research questions to be addressed and methods to be used in future experiments
Perception of Symmetries in Drawings of Graphs
Symmetry is an important factor in human perception in general, as well as in
the visualization of graphs in particular. There are three main types of
symmetry: reflective, translational, and rotational. We report the results of a
human subjects experiment to determine what types of symmetries are more
salient in drawings of graphs. We found statistically significant evidence that
vertical reflective symmetry is the most dominant (when selecting among
vertical reflective, horizontal reflective, and translational). We also found
statistically significant evidence that rotational symmetry is affected by the
number of radial axes (the more, the better), with a notable exception at four
axes.Comment: Appears in the Proceedings of the 26th International Symposium on
Graph Drawing and Network Visualization (GD 2018
Proximity, Communities, and Attributes in Social Network Visualisation
The identification of groups in social networks drawn as graphs is an important task for social scientists whowish to know how a population divides with respect to relationships or attributes. Community detection algorithms identify communities (groups) in social networks by finding clusters in the graph: that is, sets of people (nodes) where the relationships (edges) between them are more numerous than their relationships with other nodes. This approach to determining communities is naturally based on the underlying structure of the network, rather than on attributes associated with nodes. In this paper, we report on an experiment that (a) compares the effectiveness of several force-directed graph layout algorithms for visually identifying communities, and (b) investigates their usefulness when group membership is based not on structure, but on attributes associated with the people in the network. We find algorithms that clearly separate communities with large distances to be most effective, while using colour to represent community membership is more successful than reliance on structural layout
The 'physics of diagrams' : revealing the scientific basis of graphical representation design
Data is omnipresent in the modern, digital world and a significant number of
people need to make sense of data as part of their everyday social and
professional life. Therefore, together with the rise of data, the design of
graphical representations has gained importance and attention. Yet, although a
large body of procedural knowledge about effective visualization exists, the
quality of representations is often reported to be poor, proposedly because
these guidelines are scattered, unstructured and sometimes perceived as
contradictive. Therefore, this paper describes a literature research addressing
these problems. The research resulted in the collection and structuring of 81
guidelines and 34 underlying propositions, as well as in the derivation of 7
foundational principles about graphical representation design, called the
"Physics of Diagrams", which are illustrated with concrete, practical examples
throughout the paper
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Understanding analogical reasoning : viewpoints from psychology and related disciplines
Analogy and metaphor have a long history of study in linguistics, education, philosophy and psychology. Consensus over what analogy is or how analogy functions in language and thought, however, has been elusive. This paper, the first in a two part series, examines these various research traditions, attempting to bring out major lines of agreement over the role of analogy in individual human experience. As well as being a general literature review which may be helpful for newcomers to the study of analogy, this paper attempts to extract from these literatures existing theories, models and concepts which may be interesting or useful for computational studies of analogical reasoning
What we know and what we do not know about DMN
The recent Decision Model and Notation (DMN) establishes business decisions as first-class citizens of executable business processes. This research note has two objectives: first, to describe DMN's technical and theoretical foundations; second, to identify research directions for investigating DMN's potential benefits on a technological, individual and organizational level. To this end, we integrate perspectives from management science, cognitive theory and information systems research
Emotional Design: An Overview
Emotional design has been well recognized in the domain of human factors and ergonomics. In this chapter, we reviewed related models and methods of emotional design. We are motivated to encourage emotional designers to take multiple perspectives when examining these models and methods. Then we proposed a systematic process for emotional design, including affective-cognitive needs elicitation, affective-cognitive needs analysis, and affective-cognitive needs fulfillment to support emotional design. Within each step, we provided an updated review of the representative methods to support and offer further guidance on emotional design. We hope researchers and industrial practitioners can take a systematic approach to consider each step in the framework with care. Finally, the speculations on the challenges and future directions can potentially help researchers across different fields to further advance emotional design.http://deepblue.lib.umich.edu/bitstream/2027.42/163319/1/Emotional_Design_Manuscript_Final.pdfSEL
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