Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Perceptual factors in knowledge map visual design. / Gavrilova, Tatiana; Alsufyev, Artem; Gladkova, Margarita.
Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015. ed. / Harald Sack; Stefanie Lindstaedt; Tobias Ley. Association for Computing Machinery, 2015. a39 (ACM International Conference Proceeding Series; Vol. 21-22-October-2015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Perceptual factors in knowledge map visual design
AU - Gavrilova, Tatiana
AU - Alsufyev, Artem
AU - Gladkova, Margarita
N1 - Gavrilova, T. Perceptual factors in knowledge map visual design / T. Gavrilova, A. Alsufyev, M. Gladkova // Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Busines / i-KNOW '15 15th International Conference on Knowledge Technologies and Data-Driven Busines, Graz, Austria, October 21-23, 2015, 2015. - P. 160-164.
PY - 2015/10/21
Y1 - 2015/10/21
N2 - Knowledge visualization is an effective instrument for knowledge creation, acquisition and transfer. Knowledge maps are the most common knowledge visualization techniques, specifically, mind maps. Managers frequently use these instruments in their work for business analytics purposes, but the preparation of such maps must follow several laws in order to make them effective. The goal of the current paper is to develop the methodology and some practical recommendations how to design knowledge maps that can be used for knowledge codification, transfer, sharing and dissemination in companies. The paper also evaluates proposed visualization laws for creating knowledge maps based on the principles of cognitive psychology. The knowledge maps visual design methodology is based on perceptual factors and include the law of pragnanz (the law of good shape) and the law of parsimony (the Ockham's razor principle). The results were obtained through the qualitative analysis of group mind maps of 48 top-managers of Russian companies. We may assert that for the knowledge map to be effective in knowledge codification, transfer, sharing and dissemination in companies it should follow laws of good shape, parsimony and tips related to knowledge maps design. The proposed framework of visualization laws is important for many reasons. It is targeted at the development of methodologies and related technologies that can scaffold the process of knowledge structuring and transfer for managers' business analytics tasks and decision-making. The paper contributes to managerial practice by describing the practical recommendations for effective visual knowledge structuring.
AB - Knowledge visualization is an effective instrument for knowledge creation, acquisition and transfer. Knowledge maps are the most common knowledge visualization techniques, specifically, mind maps. Managers frequently use these instruments in their work for business analytics purposes, but the preparation of such maps must follow several laws in order to make them effective. The goal of the current paper is to develop the methodology and some practical recommendations how to design knowledge maps that can be used for knowledge codification, transfer, sharing and dissemination in companies. The paper also evaluates proposed visualization laws for creating knowledge maps based on the principles of cognitive psychology. The knowledge maps visual design methodology is based on perceptual factors and include the law of pragnanz (the law of good shape) and the law of parsimony (the Ockham's razor principle). The results were obtained through the qualitative analysis of group mind maps of 48 top-managers of Russian companies. We may assert that for the knowledge map to be effective in knowledge codification, transfer, sharing and dissemination in companies it should follow laws of good shape, parsimony and tips related to knowledge maps design. The proposed framework of visualization laws is important for many reasons. It is targeted at the development of methodologies and related technologies that can scaffold the process of knowledge structuring and transfer for managers' business analytics tasks and decision-making. The paper contributes to managerial practice by describing the practical recommendations for effective visual knowledge structuring.
KW - Concept maps
KW - Knowledge maps
KW - Knowledge visualization
KW - Mind maps
KW - Perceptual factors
KW - Visual design
UR - http://www.scopus.com/inward/record.url?scp=84958692115&partnerID=8YFLogxK
U2 - 10.1145/2809563.2809599
DO - 10.1145/2809563.2809599
M3 - Conference contribution
SN - 9781450337212
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015
A2 - Sack, Harald
A2 - Lindstaedt, Stefanie
A2 - Ley, Tobias
PB - Association for Computing Machinery
T2 - 15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015
Y2 - 21 October 2015 through 22 October 2015
ER -
ID: 3989906