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Affective Colormap Design for Accurate Visual Comprehension in Industrial Tomography
| Content Provider | MDPI |
|---|---|
| Author | Zhang, Yuchong Fjeld, Morten Fratarcangeli, Marco Said, Alan Zhao, Shengdong |
| Copyright Year | 2021 |
| Description | The design of colormaps can help tomography operators obtain accurate visual comprehension, thereby assisting safety-critical decisions. The research presented here is about deploying colormaps that promote the best affective responses for industrial microwave tomography (MWT). To answer the two research questions related to our study, we firstly conducted a quantitative analysis of 11 frequently-used colormaps on a segmentation task. Secondly, we presented the same colormaps within a crowdsourced study comprising two parts to verify the quantitative outcomes. The first part encoded affective responses from participants into a prevailing four-quadrant valence–arousal grid; the second part recorded participant ratings towards the accuracy of each colormap on MWT segmentation. We concluded that three colormaps are the best suited in the context of MWT tasks. We also found that the colormaps triggering emotions in the positive–exciting quadrant can facilitate more accurate visual comprehension than other affect-related quadrants. A synthetic colormap design guideline was consequently proposed. |
| Starting Page | 4766 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21144766 |
| Journal | Sensors |
| Issue Number | 14 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-12 |
| Access Restriction | Open |
| Subject Keyword | Sensors Industrial Engineering Affective Colormap Design Human Perception Visualization Crowdsourced Study Microwave Tomography |
| Content Type | Text |
| Resource Type | Article |
