cognitive dimensions of notations
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2019 ◽  
Author(s):  
Juliana Jansen Ferreira ◽  
Vinícius Segura

During the design and development of a technological artifact or when such artifact is already in the hands of users, an inspection method can help researchers and practitioners deal with not only usability issues, but also provide a common language to evaluate different design alternatives. The Cognitive Dimensions of Notations framework (CDNf) is a methodological resource designed to identify and discuss cognitive loads imposed by notations. In this six hour short course, we aim to talk about our experience with CDNf alone and combined with other HCI methods and to explore CDNf in practice with hands on activities to show participants how it can be a useful resource.


SIMULATION ◽  
2015 ◽  
Vol 91 (8) ◽  
pp. 715-734 ◽  
Author(s):  
Maryam Maleki ◽  
Robert Woodbury ◽  
Rhys Goldstein ◽  
Simon Breslav ◽  
Azam Khan

Although the Discrete Event System specification (DEVS) has over recent decades provided systems engineers with a scalable approach to modeling and simulation, the formalism has seen little uptake in many other disciplines where it could be equally useful. Our observations of end-user programmers confronted with DEVS theory or software suggest that learning barriers are largely responsible for this lack of utilization. To address these barriers, we apply ideas from human–computer interaction to the design of visual interfaces intended to promote their users’ effective knowledge of essential DEVS concepts. The first step is to propose a set of names that make these concepts easier to learn. We then design and provide rationale for visual interfaces for interacting with various elements of DEVS models and simulation runs. Both the names and interface designs are evaluated using the Cognitive Dimensions of Notations framework, which emphasizes trade-offs between 14 aspects of information artifacts. As a whole, this work illustrates a generally applicable design process for the development of interactive formalism-based simulation environments that are learnable and usable to those who are not experts in simulation formalisms.


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