Psychographic and Cognitive Human Factor Modeling in Decision Support Systems for Building Personalized Product Ecosystems

CHIRA 2020: Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications 2020
Alberts Pumpurs

There are countless products build and launched every day. A growing number of possibilities for the consumer increases competition between similar products and product developers voluntarily or involuntarily are creating product ecosystems to stay competitive or relevant. As the products tend to form ecosystems, then for users it less decision of which product, instead of more of which ecosystem to buy into. This poses new challenges for product and ecosystem developers, how to comply with true user needs, and which are worth investing in. This position paper discusses the possibility that psychographic and cognitive human factor modeling could be the way to understand users and build personalized ecosystems using the decision support system. Following position, the paper is a proposal for future research in developing such decision support and conceptual model of user data and its relationship is proposed.

Keywords
Human Factor Modeling, User Modeling, Decision Support Systems, Design and Creativity Support System
DOI
10.5220/0010132001450151
Hyperlink
https://www.scitepress.org/PublicationsDetail.aspx?ID=TGz93+2+htQ=&t=1

Pumpurs, A. Psychographic and Cognitive Human Factor Modeling in Decision Support Systems for Building Personalized Product Ecosystems. In: CHIRA 2020: Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications, Hungary, Budapest, 5-6 November, 2020. Setúbal, Portugal: SciTePress, 2020, pp.145-151. ISBN 978-989-758-480-0. Available from: doi:10.5220/0010132001450151

Publication language
English (en)