637 research outputs found

    A Survey-based Analysis of Principles to Evaluate Visual Notations of Process Modeling Languages

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    Process modeling languages such as BPMN or EPC provide a set of graphical constructs defining their visual notations. The visual notation is one comparison criteria in favor of a process modeling language. Usually, the first choice for the evaluation of visual notations are the principles of the Physics of Notation (PoN) theory. Their vague operationalization, however, gives room for contradictory recommendations how to improve visual notations. Therefore, the intention of this paper is to identify recent empirical studies to visual notations of process modeling languages, which might contribute to a better understanding of PoN principles. A comprehensive literature survey has been conducted showing a confirmation of the PoN principles and identifying refinements for their operationalization. We applied our findings to an evaluation of the visual notation of BPMN from 2012 and showed advancements. Our findings define the current guidelines for evaluating and improving visual notations of process modeling languages

    DyVProMo - A Lightweight Web-Based Tool for the Dynamic Visualization of Additional Information in Business Process Models

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    Business process models represent detailed informa�tion regarding the documentation, optimization, and automation of organizational processes. With an increasing level of detail,such models become rapidly complex, thus hindering their correct comprehension (i.e., both, the efficiency and accuracy of understanding decrease). Furthermore, once a process model is created, the view on it and the respective level of detail remains rigid for all stakeholders. However, a process model may contain information, which is less relevant for certain stakeholders (e.g.,domain experts). Consequently, the comprehension of process models becomes more difficult, as all information in a model needs to be read. Existing modeling systems do not offer the functionality to dynamically change the level of detail of a process model according to the stakeholders’ preferences. To address this issue, the work at hand presents the Dynamic Visualization of Process Models (DyVProMo), a lightweight web-based tool that enables the dynamic visualization of information in process models expressed in terms of the Business Process Model and Notation 2.0

    Mapping Research of Color in Visual Communication Design During 2011-2021

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    Color is one of the fundamental elements in visual communication design. Various research has been conducted about color related. Thus, this research was conducted to find research mapping related to color in visual communication design using bibliometric analysis methods. The data used in this study is the data contained in the Scopus database. Analysis is based on information available on the Scopus website that is collaborated with VOSViewer to visualize the results. The results of this study found that there were 377 documents related to color in visual communication design research. This amount is found after passing the screening process against the time, type of document, and subject area of research. The most type of publication document related to color in visual communication design is article document with 216 documents. The countries with the most document being in the United States with 94 documents. The affiliate with the dominating number of 6 documents is Politecnico di Milano. While research with the subject area of Computer Science has the largest percentage which is 150 documents. Mapping themes related to Color in Visual Communication Design there are four large groups which is colour, system, experiment, and participant. Mapping based on the author network there are 5 authors who network each other

    USING SECONDARY NOTATION TO IMPROVE THE COGNITIVE EFFECTIVENESS OF BPMN-MODELS

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    Almost every implementation of a modeling grammar uses secondary notation to further specify a modeling grammar. Yet, secondary notation is usually applied in an unsystematic way, might contradict what is specified in primary notation and implements research results that should rather be implemented in primary notation. With this work we aim at showing how secondary notation can be used to implement recent research results that are not yet available in primary notation without contracting what is already specified in primary notation. We demonstrate a systematic update of recent research of extended Perceptual Discriminability for BPMN secondary notation and that way, show how research results can quickly be made available for practice without contradicting primary notation. We choose Perceptual Discriminability as it can be used to focus the model user’s attention on the most important constructs and can that way, improve model comprehension. For an update of BPMN secondary notation we first specify free BPMN variables and further show how these variables can be used to focus the model user’s attention on those constructs that most foster comprehension

    Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

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    Modularization in process models is a method to cope with the inherent complexity in such models (e.g., model size reduction). Modularization is capable to increase the quality, the ease of reuse, and the scalability of process models. Prior conducted research studied the effects of modular process models to enhance their comprehension. However, the effects of modularization on cognitive factors during process model comprehension are less understood so far. Therefore, this paper presents the results of two exploratory studies (i.e., a survey research study with N = 95 participants; a follow-up eye tracking study with N = 19 participants), in which three types of modularization (i.e., horizontal, vertical, orthogonal) were applied to process models expressed in terms of the Business Process Model and Notation (BPMN) 2.0. Further, the effects of modularization on the cognitive load, the level of acceptability, and the performance in process model comprehension were investigated. In general, the results revealed that participants were confronted with challenges during the comprehension of modularized process models. Further, performance in the comprehension of modularized process models showed only a few significant differences, however, the results obtained regarding the cognitive load revealed that the complexity and concept of modularization in process models were misjudged initially. The insights unraveled that the attitude towards the application and the behavioral intention to apply modularization in process model is still not clear. In this context, horizontal modularization appeared to be the best comprehensible modularization approach leading to a more fine-grained comprehension of respective process models. The findings indicate that alterations in modular process models (e.g., change in the representation) are important to foster and enable their comprehension. Finally, based on our results, implications for research and practice as well as directions for future work are discussed in this paper

    Entertaining or functional:An analysis of visuals in Chinese and Western household appliance manuals

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    In today's global world, understanding local user preferences becomes an increasingly essential skill, especially for technical communicators who design products for people in other cultures. This study attempts to analyze and compare visuals in Chinese and Western manuals because visuals play an essential role in manuals. Based on a systematically designed coding scheme, we analyzed 50 Western and 50 Chinese household product manuals (1895 pages in total) designed in their own cultures and published after 2007. Results show many differences between Chinese and Western manuals with regard to visuals. All differences seem to point in the same direction; Chinese visuals appear to have an entertaining function while Western visuals are not meant to entertain the readers but have an informative or instructive function. This study aims to enhance the mutual understanding of information designers in cross-cultural manual design.</p

    Requirements engineering for explainable systems

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    Information systems are ubiquitous in modern life and are powered by evermore complex algorithms that are often difficult to understand. Moreover, since systems are part of almost every aspect of human life, the quality in interaction and communication between humans and machines has become increasingly important. Hence the importance of explainability as an essential element of human-machine communication; it has also become an important quality requirement for modern information systems. However, dealing with quality requirements has never been a trivial task. To develop quality systems, software professionals have to understand how to transform abstract quality goals into real-world information system solutions. Requirements engineering provides a structured approach that aids software professionals in better comprehending, evaluating, and operationalizing quality requirements. Explainability has recently regained prominence and been acknowledged and established as a quality requirement; however, there is currently no requirements engineering recommendations specifically focused on explainable systems. To fill this gap, this thesis investigated explainability as a quality requirement and how it relates to the information systems context, with an emphasis on requirements engineering. To this end, this thesis proposes two theories that delineate the role of explainability and establish guidelines for the requirements engineering process of explainable systems. These theories are modeled and shaped through five artifacts. These theories and artifacts should help software professionals 1) to communicate and achieve a shared understanding of the concept of explainability; 2) to comprehend how explainability affects system quality and what role it plays; 3) in translating abstract quality goals into design and evaluation strategies; and 4) to shape the software development process for the development of explainable systems. The theories and artifacts were built and evaluated through literature studies, workshops, interviews, and a case study. The findings show that the knowledge made available helps practitioners understand the idea of explainability better, facilitating the creation of explainable systems. These results suggest that the proposed theories and artifacts are plausible, practical, and serve as a strong starting point for further extensions and improvements in the search for high-quality explainable systems

    Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study

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    Process model comprehension is essential in order to understand the Five Ws (i.e., who, what, where, when, and why) pertaining to the processes of organizations. However, research in this context showed that a proper comprehension of process models often poses a challenge in practice. For this reason, a vast body of research exists studying the factors having an influence on process model comprehension. In order to point research towards a neuro-centric perspective in this context, the paper at hand evaluates the appropriateness of measuring the electrodermal activity (EDA) during the comprehension of process models. Therefore, a preliminary test run and a feasibility study were conducted relying on an EDA and physical activity sensor to record the EDA during process model comprehension. The insights obtained from the feasibility study demonstrated that process model comprehension leads to an increased activity in the EDA. Furthermore, EDA-related results indicated significantly that participants were confronted with a higher cognitive load during the comprehension of complex process models. In addition, the experiences and limitations we have learned in measuring the EDA during the comprehension of process models are discussed in this paper. In conclusion, the feasibility study demonstrated that the measurement of the EDA could be an appropriate method to obtain new insights in process model comprehension
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