Developing a User Property Metadata to Support Cognitive and Emotional Product Design

Kyuhyup Oh, Kwang Il Park, Hee-Chan Kim, Woo Ju Kim, Soo-Hong Lee, Young Gu Ji, Jae-Yoon Jung


Cognitive and emotional product design is becoming crucial because the technology gap decreases more and more. Product design guidelines and the corresponding database are therefore needed to support sensing (e.g. sight, hearing, touch), cognition (e.g. attention, memory) and emotion (e.g. aesthetics, functionality) which users feel differently according to their genders and ages. The user property information which is extracted from various experiments can be used as critical criteria in product design and evaluation, and it is necessary to develop the integrated database of cognition and emotion where to store the user property information. In this research, we design the user property metadata for supporting cognitive and emotional product design and then develop a prototype system. The metadata is designed to reflect the classification of cognition and emotion by investigating and classifying the previous studies related to sensing, cognition and emotion. The user property information is designed in RDF (Resource Description Framework), and a prototype system is developed to store user property information of cognition and emotion based on the designed metadata.

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