Research on the design of smart sleep aid interactive products

Shan Hu, Liyan Zhang, Weiqi Guo, Dong Zhang, Qi Jia, Zitong Yang and Min Guo

International Journal of Industrial and Systems Engineering, 2024, vol. 46, issue 2, 151-168

Abstract: The purpose of this research is to solve their problems of being uncomfortable, easy to lose, and unable to accurately determine the user's sleep state to cause second awakening, so as to maximise the needs of users and improve the user experience. The research uses the analytic hierarchy process (AHP), quality function deployment (QFD), and function behaviour structure (FBS) models to integrate an innovative design method. This method first extracts user needs and calculates weights through an AHP. The results use convolutional neural networks to build a user sleep state model with personal sleep characteristics to achieve effective transformation of user requirements to design results. This method can improve the user experience of intelligent sleep aid products from the perspective of user needs and provide a feasible reference for the design research of intelligent sleep aid products.

Keywords: smart products; sleep aid; analytic hierarchy process; AHP; quality function deployment; QFD; function behaviour structure; FBS model; intelligent monitoring. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=136413 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:46:y:2024:i:2:p:151-168

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().