TY - GEN
T1 - Towards understanding human similarity perception in the analysis of large sets of scatter plots
AU - Pandey, Anshul Vikram
AU - Krause, Josua
AU - Felix, Cristian
AU - Boy, Jeremy
AU - Bertini, Enrico
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/5/7
Y1 - 2016/5/7
N2 - We present a study aimed at understanding how human observers judge scatter plot similarity when presented with a large set of iconic scatter plot representations. The work we present involves 18 participants with a scientific background in a similarity perception study. The study asks participants to group a carefully selected set of plots according to their subjective perceptual judgement of similarity, and it integrates the results into a consensus similarity grouping. We then use this consensus grouping to generate insights on similarity perception. The main output of this work is a list of concepts we derive to describe major perceptual features, and a description of how these concepts relate and rank. We also evaluate scagnostics (scatter plot diagnostics), a popular and established set of scatter plot descriptors, and show that they do not reliably reproduce our participants judgements. Finally, we discuss the major implications of this study and how these results can be used for future research.
AB - We present a study aimed at understanding how human observers judge scatter plot similarity when presented with a large set of iconic scatter plot representations. The work we present involves 18 participants with a scientific background in a similarity perception study. The study asks participants to group a carefully selected set of plots according to their subjective perceptual judgement of similarity, and it integrates the results into a consensus similarity grouping. We then use this consensus grouping to generate insights on similarity perception. The main output of this work is a list of concepts we derive to describe major perceptual features, and a description of how these concepts relate and rank. We also evaluate scagnostics (scatter plot diagnostics), a popular and established set of scatter plot descriptors, and show that they do not reliably reproduce our participants judgements. Finally, we discuss the major implications of this study and how these results can be used for future research.
KW - Human perception modeling
KW - Information visualization
KW - Plot similarity
KW - Quality measures
UR - http://www.scopus.com/inward/record.url?scp=85015044372&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015044372&partnerID=8YFLogxK
U2 - 10.1145/2858036.2858155
DO - 10.1145/2858036.2858155
M3 - Conference contribution
AN - SCOPUS:85015044372
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 3659
EP - 3669
BT - CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 34th Annual Conference on Human Factors in Computing Systems, CHI 2016
Y2 - 7 May 2016 through 12 May 2016
ER -