Perceptual factors in knowledge map visual design

Tatiana Gavrilova, Artem Alsufyev, Margarita Gladkova

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

1 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаанглийский
Название основной публикацииProceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015
РедакторыHarald Sack, Stefanie Lindstaedt, Tobias Ley
ИздательAssociation for Computing Machinery
ISBN (электронное издание)9781450337212
ISBN (печатное издание)9781450337212
DOI
СостояниеОпубликовано - 21 окт 2015
Событие15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015 - Graz, Австрия
Продолжительность: 21 окт 201522 окт 2015

Серия публикаций

НазваниеACM International Conference Proceeding Series
Том21-22-October-2015

конференция

конференция15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015
СтранаАвстрия
ГородGraz
Период21/10/1522/10/15

Предметные области Scopus

  • Программный продукт
  • Человеко-машинное взаимодействие
  • Компьютерное зрение и распознавание образов
  • Компьютерные сети и коммуникации

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