Expected age of population is increasing as the quality of medical technology and services is improving. As a result, women nowadays are expected to spend 1/3 of their lives after menopause. Precise knowledge of each of their menopausal stage and how to deal with corresponding symptoms would greatly increase the quality of their lives. There is a large amount of studies conducted on mHealth intervention, but the amount of study conducted for this particular target group is relatively small. In order to develop a mobile intervention for health management of menopausal women, this research set interviews with a focus group including middle aged women and stakeholders. As a result, we suggest a guideline for designing a health management system of menopausal women based on previous study and suggest a possible system that support women's wellness in menopausal period, with providing health information based on user's menopausal stage using mobile devices.

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Our choice of music in a daily life is greatly affected by our current mood and suggestions by others. We believe that people experience similar mood changes facing similar changes in weather, temperature, time, and location, and for this we suggest a service we named 'Logmusic', a context-based social music recommendation service. Using a prototype version, we performed a pilot test in order to determine if the hypothesis is valid. To conclude, songs recommended through this system scored significantly higher on both preference and appropriateness than randomly selected songs or popular songs. This service is expected to enhance user's music experience and promote sense of unity among users, and contribute to build unique cultures within local communities.