Exploring How Personality Models Information Visualization Preferences

被引:6
作者
Alves, Tomas [1 ,2 ]
Ramalho, Barbara [1 ,2 ]
Goncalves, Daniel [1 ,2 ]
Gama, Sandra [1 ,2 ]
Henriques-Calado, Joana [3 ]
机构
[1] Univ Lisbon, INESC ID, Lisbon, Portugal
[2] Univ Lisbon, Inst Super Tecn, Lisbon, Portugal
[3] Univ Lisbon, Fac Psicol, CICPSI, Lisbon, Portugal
来源
2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020) | 2020年
关键词
Human-centered computing; Human computer interaction (HCI); HCI design and evaluation methods; User studies; Visualization; Visualization design and evaluation methods; LOCUS;
D O I
10.1109/VIS47514.2020.00047
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Recent research on information visualization has shown how individual differences act as a mediator on how users interact with visualization systems. We focus our exploratory study on whether personality has an effect on user preferences regarding idioms used for hierarchy, evolution over time, and comparison contexts. Specifically, we leverage all personality variables from the Five-Factor Model and the three dimensions from Locus of Control (LoC) with correlation and clustering approaches. The correlation-based method suggested that Neuroticism, Openness to Experience, Agreeableness, several facets from each trait, and the External dimensions from LoC mediate how much individuals prefer certain idioms. In addition, our results from the cluster-based analysis showed that Neuroticism, Extraversion, Conscientiousness, and all dimensions from LoC have an effect on preferences for idioms in hierarchy and evolution contexts. Our results support the incorporation of in-depth personality synergies with InfoVis into the design pipeline of visualization systems.
引用
收藏
页码:201 / 205
页数:5
相关论文
共 36 条
[21]   SELF-CONCEPT AND THE STABILITY OF PERSONALITY - CROSS-SECTIONAL COMPARISONS OF SELF-REPORTS AND RATINGS [J].
MCCRAE, RR ;
COSTA, PT .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1982, 43 (06) :1282-1292
[22]   Accelerated Hierarchical Density Based Clustering [J].
McInnes, Leland ;
Healy, John .
2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2017), 2017, :33-42
[23]   Likert scales, levels of measurement and the "laws" of statistics [J].
Norman, Geoff .
ADVANCES IN HEALTH SCIENCES EDUCATION, 2010, 15 (05) :625-632
[24]   Towards Personalized Visualization: Information Granularity, Situation, and Personality [J].
Oscar, Nels ;
Mejia, Shannon ;
Metoyer, Ronald ;
Hooker, Karen .
DIS'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON DESIGNING INTERACTIVE SYSTEMS, 2017, :811-819
[25]   Personality as a Predictor of User Strategy: How Locus of Control Affects Search Strategies on Tree Visualizations [J].
Ottley, Alvitta ;
Yang, Huahai ;
Chang, Remco .
CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2015, :3251-3254
[26]   Manipulating and controlling for personality effects on visualization tasks [J].
Ottley, Alvitta ;
Crouser, R. Jordan ;
Ziemkiewicz, Caroline ;
Chang, Remco .
INFORMATION VISUALIZATION, 2015, 14 (03) :223-233
[27]  
Petrovic S., 2006, P 11 NORD WORKSH SEC, P53
[28]  
Queiros P. J. P., 2004, THESIS U EXTREMADURA THESIS U EXTREMADURA
[29]   The hierarchical structure of collectivism [J].
Realo, A ;
Allik, J ;
Vadi, M .
JOURNAL OF RESEARCH IN PERSONALITY, 1997, 31 (01) :93-116
[30]   A First Look at the Effectiveness of Personality Dimensions in Promoting Users' Satisfaction With the System [J].
Sarsam, Samer Muthana ;
Al-Samarraie, Hosam .
SAGE OPEN, 2018, 8 (02)