Design Demands of Healing Products for Postpartum Depression Tendency

Yao-Tsung Ko ； Mei-Chia Chiu

《創藝學報 JAD》 7期 (2019/05) Pp. 17-35

摘要

Study shows 80% of postpartum mothers suffered from Postpartum Depression Tendency. Emotional disorders caused by these tendencies will affect the mothers' ability to take care of their own and babies and may even induce the risk of self-injury or killing their babies. Therefore, the related researches for Postpartum Mood Disorders or Postpartum Depression are gradually emphasized in recent years. Related literature shows healing product can help improving postpartum depression symptoms. In this study, a two-stage procedure is proposed to investigate the possible design directions for healing product. In the first stage, healing products are collected by internet keyword search. Then the postpartum depression healing demands are investigated through expert interviews. A process is executed to screen the healing products that meet the healing demands. In the second stage, the cross analysis based KJ method is utilized for clustering the healing products. According to the result of this study, the design directions are suggested for future related postpartum depression healing product design topics. In this study, we categorized the healing product into future trend, functional trend, general function trend, fun trend and low future trend. The healing products provides several user experiences which can release the emotional pressure, enhance the interaction between mother and baby, improve the helpless feeling of taking care of new born baby, enlighten the emotion, comfort the mother's feeling. It has the characteristics of making people feel relaxed, interesting, affordable price, unique, comfortable coloring, fitting personal need, removing tense and resolving helpless situation. The result shows that the characteristics of removing tense, fitting personal need and making people feel relaxed are suitable for healing aid product design.

關鍵字

Postpartum depression ； Healing product design ； Expert interviews ； Cross analysis ； KJ method