Design Judgment in Data Visualization Practice
| Autor: | Ali Baigelenov, Ian Carr, Paul Parsons, Colin M. Gray |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Focus (computing) business.industry Design activities Computer science 05 social sciences Computer Science - Human-Computer Interaction 020207 software engineering 02 engineering and technology 16. Peace & justice Human-centered computing Data science Field (computer science) Human-Computer Interaction (cs.HC) Data modeling Visualization Data visualization 0502 economics and business Situated 0202 electrical engineering electronic engineering information engineering business 050203 business & management |
| Zdroj: | IEEE VIS (Short Papers) |
| Popis: | Data visualization is becoming an increasingly popular field of design practice. Although many studies have highlighted the knowledge required for effective data visualization design, their focus has largely been on formal knowledge and logical decision-making processes that can be abstracted and codified. Less attention has been paid to the more situated and personal ways of knowing that are prevalent in all design activity. In this study, we conducted semi-structured interviews with data visualization practitioners during which they were asked to describe the practical and situated aspects of their design processes. Using a philosophical framework of design judgment from Nelson and Stolterman [23], we analyzed the transcripts to describe the volume and complex layering of design judgments that are used by data visualization practitioners as they describe and interrogate their work. We identify aspects of data visualization practice that require further investigation beyond notions of rational, model- or principle-directed decision-making processes. IEEE 2020 Visualization Conference (VIS), short papers |
| Databáze: | OpenAIRE |
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