{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T14:22:27Z","timestamp":1770906147697,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T00:00:00Z","timestamp":1626048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010665","name":"H2020 Marie Sk\u0142odowska-Curie Actions","doi-asserted-by":"publisher","award":["No. 764902"],"award-info":[{"award-number":["No. 764902"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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\u2013arousal 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\u2013exciting quadrant can facilitate more accurate visual comprehension than other affect-related quadrants. A synthetic colormap design guideline was consequently proposed.<\/jats:p>","DOI":"10.3390\/s21144766","type":"journal-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T21:56:52Z","timestamp":1626127012000},"page":"4766","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Affective Colormap Design for Accurate Visual Comprehension in Industrial Tomography"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1804-6296","authenticated-orcid":false,"given":"Yuchong","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9562-5147","authenticated-orcid":false,"given":"Morten","family":"Fjeld","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden"}]},{"given":"Marco","family":"Fratarcangeli","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden"}]},{"given":"Alan","family":"Said","sequence":"additional","affiliation":[{"name":"Department of Applied Information Technology, University of Gothenburg, SE-40530 Gothenburg, Sweden"}]},{"given":"Shengdong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National University of Singapore, Singapore 119077, Singapore"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/MAP.2017.2731201","article-title":"Microwave Tomography for Industrial Process Imaging: Example Applications and Experimental Results","volume":"59","author":"Wu","year":"2017","journal-title":"IEEE Antennas Propag. 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