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Cognitively Congruent Color Palette for Emotional Mapping.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cognitively Congruent Color Palette for Emotional Mapping./
作者:	Kushkin, Andrei.
面頁冊數:	1 online resource (162 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-08, Section: B.
Contained By:	Dissertations Abstracts International84-08B.
標題:	Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30319792click for full text (PQDT)
ISBN:	9798368419855

Cognitively Congruent Color Palette for Emotional Mapping.
Kushkin, Andrei.

Cognitively Congruent Color Palette for Emotional Mapping. - 1 online resource (162 pages)

Source: Dissertations Abstracts International, Volume: 84-08, Section: B.

Thesis (Ph.D.)--Texas State University - San Marcos, 2022.

Includes bibliographical references

Emotions are touchstones of human experience and are a fundamental part of everyday human life. Maps of emotions and sentiments are used to make our cities safer; to study natural disaster response; to inform marketing, business, and tourism-related research. The most common way to visualize emotions is by using color, such as placing point symbols on maps, with different colors standing for different experienced emotions. Recent findings in psychology suggest that humans have subjective associations between colors and abstract notions, including emotions. There is also evidence that such associations impact objective task performance. Thus, showing emotions on maps using general cartographic color palettes may lead to a mismatch between the emotion associated with a color and the emotion it represents. This may bias the viewer's attention, perception, and understanding.There are guidelines for choosing optimal colors for different mapping contexts, but none helps in picking colors for showing emotional geographic data. This study aims to address this gap by designing and evaluating a cognitively congruent color palette - a set of colors matched to emotions in a way that is aligned with human associations.The set of candidate colors for this palette was obtained by a user experiment. Participants picked the most suitable color for each emotion in a list. A second user experiment was conducted to identify optimal color-to-emotion assignments. Participants were asked to match each color from a given set to emotions from a list. The probability of color being selected depending on the emotion served as a measure of how suitable the color is to represent the emotion. Due to the many-to-many nature of associations between colors and emotions, a dynamic palette generation tool was created. This tool solves the color assignment problem depending on the combination of the selected emotions.A sample cognitively congruent color palette was evaluated in a third user experiment regarding its influence on the map use experience, performance, and map-based decision making. The participants planned a walking tour using one of two maps showing the main attractions and how people feel in different parts of town: one using the cognitively congruent palette and the other using a general cartographic palette for categorical data.The comparison results show a significant difference with small to medium effect size in task completion time and subjective workload estimate. Both are lower for the map using the cognitively congruent palette. Comparing the frequency of visits to different sites suggests a significant relationship between the type of color palette and how often people go to the attractions, providing evidence of the influence of color palette type on map-based decision-making.The outcome of this study is twofold. First, a developed tool for choosing colors to visualize emotions will help researchers, cartographers, and designers make informed design decisions and create visualizations that facilitate exploratory visualization and help to inspire the desired response from the users. Second, the findings provide a basis for further research, like investigating the extent to which map-based decisions can be influenced by color.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798368419855Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

CartographyIndex Terms--Genre/Form:

542853
Electronic books.

Cognitively Congruent Color Palette for Emotional Mapping.
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500 $a Advisor: Giordano, Alberto.
502 $a Thesis (Ph.D.)--Texas State University - San Marcos, 2022.
504 $a Includes bibliographical references
520 $a Emotions are touchstones of human experience and are a fundamental part of everyday human life. Maps of emotions and sentiments are used to make our cities safer; to study natural disaster response; to inform marketing, business, and tourism-related research. The most common way to visualize emotions is by using color, such as placing point symbols on maps, with different colors standing for different experienced emotions. Recent findings in psychology suggest that humans have subjective associations between colors and abstract notions, including emotions. There is also evidence that such associations impact objective task performance. Thus, showing emotions on maps using general cartographic color palettes may lead to a mismatch between the emotion associated with a color and the emotion it represents. This may bias the viewer's attention, perception, and understanding.There are guidelines for choosing optimal colors for different mapping contexts, but none helps in picking colors for showing emotional geographic data. This study aims to address this gap by designing and evaluating a cognitively congruent color palette - a set of colors matched to emotions in a way that is aligned with human associations.The set of candidate colors for this palette was obtained by a user experiment. Participants picked the most suitable color for each emotion in a list. A second user experiment was conducted to identify optimal color-to-emotion assignments. Participants were asked to match each color from a given set to emotions from a list. The probability of color being selected depending on the emotion served as a measure of how suitable the color is to represent the emotion. Due to the many-to-many nature of associations between colors and emotions, a dynamic palette generation tool was created. This tool solves the color assignment problem depending on the combination of the selected emotions.A sample cognitively congruent color palette was evaluated in a third user experiment regarding its influence on the map use experience, performance, and map-based decision making. The participants planned a walking tour using one of two maps showing the main attractions and how people feel in different parts of town: one using the cognitively congruent palette and the other using a general cartographic palette for categorical data.The comparison results show a significant difference with small to medium effect size in task completion time and subjective workload estimate. Both are lower for the map using the cognitively congruent palette. Comparing the frequency of visits to different sites suggests a significant relationship between the type of color palette and how often people go to the attractions, providing evidence of the influence of color palette type on map-based decision-making.The outcome of this study is twofold. First, a developed tool for choosing colors to visualize emotions will help researchers, cartographers, and designers make informed design decisions and create visualizations that facilitate exploratory visualization and help to inspire the desired response from the users. Second, the findings provide a basis for further research, like investigating the extent to which map-based decisions can be influenced by color.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Geography. $3 524010
650 4 $a Geographic information science. $3 3432445
653 $a Cartography
653 $a Color palettes
653 $a Color cognition
653 $a Visualization
653 $a Emotional mapping
653 $a Emotions
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710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Texas State University - San Marcos. $b Geography and Environmental Studies. $3 3691083
773 0 $t Dissertations Abstracts International $g 84-08B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30319792 $z click for full text (PQDT)