Three-quarters of the production value are generated during activities that involve thinking, conducting relational and brainstorming activities. Most of the European office buildings today have been designed on more than fifty year old architectural and psychosocial concepts. To improve wellbeing and productivity, design innovation focuses on human's use-process, evolving individual workspace to flexible and specialized ones, according to the users tasks - activity-based. BIM supports sophisticated behaviors simulation such as energy, acoustics, although the state of the art, this paradigm is not able to manage space use-processes. Compared to current research on simulation systems, the proposed method links spaces to user's Behavioral Knowledge including formalization of Personality Typologies and profiled behavioral patterns. A hybrid approach for computational technique has been identified, combining (big) data-driven algorithm with ontology-based context reasoning, in order to achieve both, the best performance from intensive data-driven methods, and the finest adaptation for ontological context awareness (including unexplored context capabilities and objects adaptations).

Human Behaviour Simulation to Enhance Workspace Wellbeing and Productivity. A BIM and Ontologies implementation path

TRENTO, ARMANDO;
2016-01-01

Abstract

Three-quarters of the production value are generated during activities that involve thinking, conducting relational and brainstorming activities. Most of the European office buildings today have been designed on more than fifty year old architectural and psychosocial concepts. To improve wellbeing and productivity, design innovation focuses on human's use-process, evolving individual workspace to flexible and specialized ones, according to the users tasks - activity-based. BIM supports sophisticated behaviors simulation such as energy, acoustics, although the state of the art, this paradigm is not able to manage space use-processes. Compared to current research on simulation systems, the proposed method links spaces to user's Behavioral Knowledge including formalization of Personality Typologies and profiled behavioral patterns. A hybrid approach for computational technique has been identified, combining (big) data-driven algorithm with ontology-based context reasoning, in order to achieve both, the best performance from intensive data-driven methods, and the finest adaptation for ontological context awareness (including unexplored context capabilities and objects adaptations).
2016
978-94-91207-11-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1267932
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