1. This project aims to understand how urban elderly women in Southeast Asia – typically highly dependent on the other family members due to cultural practices – took care of their mental health with uncertainty and distress using technology during the social distance period.
The elderly population worldwide got immensely afected by the increased isolation and risk for complications due to the COVID19 pandemic. Notably, elderly women get more afected by social isolation and distress irrespective of health factors. We aim to understand how urban elderly women in Southeast Asia – typically highly dependent on the other family members due to cultural practices – took care of their mental health with uncertainty and distress using technology during the social distance period. Through 19 semi-structured interviews with participants from six Southeast Asian countries and analyzing the data using thematic analysis, we surfaced that our participants started learning diferent technology with great enthusiasm and used them for their mental well-being during the pandemic period. This paper portrays how our participants enhanced interpersonal bonding, cultivated self-care and creative outlets, and facilitated positivism around their social circle using different technology platforms to mitigate their stress and uncertainty during the pandemic. Our participants’ technology usage for better mental well-being during the COVID-19 period provides HCI researchers with valuable design guidelines. Here, we contribute by expanding the HCI community’s understanding of technology design within the intersection of the elderly population and mental health for the Southeast Asian cultural context.
2. This project aims to present findings from the user-centered design and development process of a low-cost assistive robot for older adults in the developing world named SHEBA, which is a Bengali term for care.
Maintaining independence and dignity is a primary goal of successful aging for older adults around the globe. Robots can support this goal in various ways by assisting everyday tasks that become challenging due to aging-related deterioration in physical and mental abilities. While a growing body of research tackles challenges in creating such robots, most work has focused on older adults with high socio-economic status in the developed world. In most cases, the price of these robots alone prohibits their potential use in the developing world. Further, socio-cultural differences in the developing world will limit the usability and chance of adoption of a robot designed based on users in the developed world. Our work aims to close this gap. In this paper we present findings from the user-centered design and development process of a low-cost assistive robot for older adults in the developing world named SHEBA, which is a Bengali term for care. We first interviewed 37 older adults and 21 caregivers in assisted and independent living settings in Dhaka, Bangladesh to gather requirements and understand priorities. We then developed a prototype focused on medication management and delivery and we brought it to an assisted living center to interact with potential older adult users. We interviewed 23 older adults and 5 caregivers who interacted with or observed our prototype to gather feedback. We present quantitative and qualitative data obtained in these interviews, identifying key requirements for robots designed for older adults in the developing world.
Publications
Tamanna Motahar, Nova Ahmed
Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, 2022
SHEBA: A Low-Cost Assistive Robot for Older Adults in the Developing World
Tamanna Motahar, Md. Fahim Farden, D. Sarkar, M. A. Islam, M. E. Cabrera, M. Cakmak
2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2019