Studying attention to IPCC climate change maps with mobile eye-tracking
pmc-PMC11723542.pdf · Phiên bản 1 · 17 trang
Data curation: Doga Gulhan. Formal analysis: Doga Gulhan. Funding acquisition: Bahador Bahrami, Ophelia Deroy. Investigation: Doga Gulhan. Methodology: Doga Gulhan. Project administration: Bahador Bahrami. Software: Doga Gulhan. Visualization: Doga Gulhan. Writing – original draft: Doga Gulhan. Writing – review & editing: Doga Gulhan, Bahador Bahrami, Ophelia Deroy. References 1. Harold J, Lorenzoni I, Shipley TF, Coventry KR. Cognitive and psychological science insights to improve climate change data visualization. Nat Clim Change 2016; 6:1080–9. https://doi.org/10.1038/ nclimate3162 2. Fish CS. Cartographic content analysis of compelling climate change communication. Cartogr Geogr Inf Sci 2020; 47:492–507. https://doi.org/10.1080/15230406.2020.1774421 3. Morelli A, Johansen TG, Pidcock R, Harold J, Pirani A, Gomis M, et al. Co-designing engaging and accessible data visualisations: a case study of the IPCC reports. Clim Change 2021; 168:26. https://doi. org/10.1007/s10584-021-03171-4 4. Wardekker A, Lorenz S. The visual framing of climate change impacts and adaptation in the IPCC assessment reports. Clim Change 2019; 156:273–92. https://doi.org/10.1007/s10584-019-02522-6 5. Steinke TR. Eye Movement Studies In Cartography And Related Fields. Cartogr Int J Geogr Inf Geovi- sualization 1987; 24:40–73. https://doi.org/10.3138/J166-635U-7R56-X2L1 6. Dong W, Liao H, Xu F, Liu Z, Zhang S. Using eye tracking to evaluate the usability of animated maps. Sci China Earth Sci 2014; 57:512–22. https://doi.org/10.1007/s11430-013-4685-3
7. Ooms K, De Maeyer P, Fack V. Study of the attentive behavior of novice and expert map users using eye tracking. Cartogr Geogr Inf Sci 2014; 41:37–54. https://doi.org/10.1080/15230406.2013.860255 8. Kiefer P, Giannopoulos I, Raubal M. Where Am I? Investigating Map Matching During Self-Localization With Mobile Eye Tracking in an Urban Environment. Trans GIS 2014; 18:660–86. https://doi.org/10. 1111/tgis.12067 9. Netzel R, Ohlhausen B, Kurzhals K, Woods R, Burch M, Weiskopf D. User performance and reading strategies for metro maps: An eye tracking study. Spat Cogn Comput 2017; 17:39–64. https://doi.org/ 10.1080/13875868.2016.1226839 10. Go¨bel F, Kiefer P, Raubal M. FeaturEyeTrack: automatic matching of eye tracking data with map fea- tures on interactive maps. GeoInformatica 2019; 23:663–87. https://doi.org/10.1007/s10707-019- 00344-3 11. Liao H, Wang X, Dong W, Meng L. Measuring the influence of map label density on perceived complex- ity: a user study using eye tracking. Cartogr Geogr Inf Sci 2019; 46:210–27. https://doi.org/10.1080/ 15230406.2018.1434016 12. Keskin M, Ooms K, Dogru AO, De Maeyer P. Exploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking. ISPRS Int J Geo-Inf 2020; 9:429. https://doi.org/10.3390/ ijgi9070429 13. Do¨ll P. Cartograms Facilitate Communication of Climate Change Risks and Responsibilities. Earths Future 2017; 5:1182–95. https://doi.org/10.1002/2017EF000677 14. Terrado M, Calvo L, Christel I. Towards more effective visualisations in climate services: good practices
and recommendations. Clim Change 2022; 172:18. https://doi.org/10.1007/s10584-022-03365-4 15. Budescu DV, Por H-H, Broomell SB, Smithson M. The interpretation of IPCC probabilistic statements around the world. Nat Clim Change 2014; 4:508–12. https://doi.org/10.1038/nclimate2194 16. Battocletti V, Romano A, Sotis C. People can understand IPCC visuals and are not influenced by colors. Environ Res Lett 2023; 18:114036. https://doi.org/10.1088/1748-9326/acfb95 PLOS ONE Studying attention to IPCC climate change maps with mobile eye-tracking PLOS ONE | https://doi.org/10.1371/journal.pone.0316909 January 10, 2025 15 / 17