Unboxing the impact of visualization designs on green behaviors: three studies on the behavioral, psychological, and physiological effects of visualization
Visualizations are becoming a popular method to promote green behaviors. The effectiveness of visualizations has been an increasingly important issue for both information systems (IS) researchers and practitioners. In this thesis, three studies are conducted to examine the impact of key visualizatio...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/165397 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Visualizations are becoming a popular method to promote green behaviors. The effectiveness of visualizations has been an increasingly important issue for both information systems (IS) researchers and practitioners. In this thesis, three studies are conducted to examine the impact of key visualization techniques on green behaviors. Specifically, Study One draws on the human-computer interaction literature to investigate the effect of post-trip visualizations on eco-driving behaviors. Furthermore, this study integrates the moral norm perspective to reveal individuals’ awareness of consequences and feelings of responsibility after viewing the visualized narrative. Study Two seeks to elucidate the effects of visualizations on promoting sustainability knowledge and pro-environmental practices. Drawing on the visualization literature, Study Two examines how expectancy illustration and interactivity affect individuals’ understanding of the environmental impact associated with their behaviors. Additionally, this study relies on the pedagogy literature to explicate that the effect of visualizations can be explained through individuals’ psychological responses in the course of interpreting the visualizations. Study Three develops and tests a model that explains individuals’ behavioral changes in terms of driving efficiency after viewing the visualizations, which depict their driving performance against that of artificial intelligence (AI). Study Three draws on the self-evaluation literature to understand performance comparisons and extends the self-evaluation perspective to the context of human-AI comparisons. Furthermore, this study illustrates that individuals can be incited emotionally by performance comparisons, and these emotional responses influence their driving behaviors subsequently. |
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