User-oriented Generation of Contextual Visualization Sequences
| Autor: | Yu-Rong Cao, Jia-Yu Pan, Wen-Chieh Lin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Sequence
Computer science 05 social sciences 020207 software engineering 02 engineering and technology Preference Domain (software engineering) Visualization Human–computer interaction 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences User oriented Heuristics Representation (mathematics) 050107 human factors |
| Zdroj: | CHI Extended Abstracts |
| DOI: | 10.1145/3334480.3383057 |
| Popis: | A visualization sequence is an effective representation of meaningful data stories.Existing visualization sequencing approaches use heuristics to arrange charts in a meaningful order.While they perform well in specific scenarios, they do not customize the generated sequences to individual users' preferences. In this work, we present VisGuide, an assistive data exploration system that helps a user create contextual visualization sequence trees by sequentially recommending meaningful charts tailoring to the user's preference on data exploration. Our results show that VisGuide can recommend chart sequences that interest users and are also considered meaningful by domain experts. |
| Databáze: | OpenAIRE |
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