Micro cultivator, as a small-scale agricultural machinery, plays an irreplaceable role in soil cultivation in hilly areas. It can break up the soil, creating a suitable environment for plant rooting and growth. Through relevant research, we found that the users of micro cultivator in hilly areas are mainly middle-aged and elderly people. Driven by an aging society and the exodus of young adults from rural areas, they have become the primary labor force in agricultural activities. However, existing studies predominantly focus on mechanical performance, overlooking age-friendly design. This study employs a mixed-methods approach to uncover the needs of elderly farmers across physiological, cognitive, emotional, and environmental dimensions. Demand data was gathered through literature analysis, observation, user interviews, and ZMET (Zaltman Metaphor Elicitation Technique). By integrating the Kano-QFD model, these needs were translated into design specifications. The study proposes key elements for age-friendly design, offering design insights for walking tractor research and enhancing equity in agricultural mechanization.

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A Study on Demand Modeling for Micro Cultivator Among Elderly Farmers in Hilly Areas Based on Mixed Methods

  • Xinya Liu,
  • Li Xu

摘要

Micro cultivator, as a small-scale agricultural machinery, plays an irreplaceable role in soil cultivation in hilly areas. It can break up the soil, creating a suitable environment for plant rooting and growth. Through relevant research, we found that the users of micro cultivator in hilly areas are mainly middle-aged and elderly people. Driven by an aging society and the exodus of young adults from rural areas, they have become the primary labor force in agricultural activities. However, existing studies predominantly focus on mechanical performance, overlooking age-friendly design. This study employs a mixed-methods approach to uncover the needs of elderly farmers across physiological, cognitive, emotional, and environmental dimensions. Demand data was gathered through literature analysis, observation, user interviews, and ZMET (Zaltman Metaphor Elicitation Technique). By integrating the Kano-QFD model, these needs were translated into design specifications. The study proposes key elements for age-friendly design, offering design insights for walking tractor research and enhancing equity in agricultural mechanization.