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PAIRWISE - From Spatial Structure to Knowledge
Roßner, Daniel; Lisa, Eidloth; Atzenbeck, Claus (2024): PAIRWISE - From Spatial Structure to Knowledge, in: HT 2024: Proceedings of the 35th ACM Conference on Hypertext and Social Media, New York: ACM, S. 208–216, doi: 10.1145/3648188.3675137.
Faculty/Chair:
Author:
Title of the compilation:
HT 2024: Proceedings of the 35th ACM Conference on Hypertext and Social Media
Conference:
35th ACM Conference on Hypertext and Social Media, September 10 - 13, 2024 ; Poznan, Polen
Publisher Information:
Year of publication:
2024
Pages:
ISBN:
979-8-4007-0595-3
Language:
English
Abstract:
This paper posits that spatially structured concepts can function as a visual representation of knowledge, a notion supported by common methods of eliciting and presenting mental models. Despite an existing gap in understanding the correlation between visual structure and knowledge representation, this study aims to clarify this relationship. To this end, we conducted a study wherein participants rated pairwise relationships between ten concepts on a discrete scale ranging from one to ten. Subsequently, we compared these ratings with weights derived from the distances between concepts in human-generated spatial structures. Our findings unveil a linear relationship between the weights obtained through both methods, indicating that spatial arrangements may systematically reflect and encode knowledge.
Keywords: ; ; ; ; ;
spatial hypertext
knowledge
user study
information representation
visualization
information exploration
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
Activation date:
October 9, 2024
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/98499