Abstract
Agriculture is a key sector in the U.S. economy, supporting not only farmers but also industries like food processing and transportation. Due to labor shortages and an aging population, immigrant farmers have become essential to the workforce. However, they face challenges such as outdated tools, reliance on family labor, and uncertain land leases, contributing to economic insecurity. Additionally, their low literacy levels often result in ineffective tracking of crucial information, leading to missed opportunities in crop disease management and budget planning. Through interviews with 7 immigrant farmers and prototyping, we explored their everyday farming practices and identified opportunities for improved record-keeping. Our findings suggest that improved information tracking could facilitate learning, crop management, and community support. This research informs the design of self-tracking technologies tailored to farmers, offering insights into culturally relevant solutions. Based on these findings, the team will develop and deploy a high-fidelity prototype on local farms.
Original language | English (US) |
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Title of host publication | CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9798400713958 |
DOIs | |
State | Published - Apr 26 2025 |
Event | 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 - Yokohama, Japan Duration: Apr 26 2025 → May 1 2025 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 |
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Country/Territory | Japan |
City | Yokohama |
Period | 4/26/25 → 5/1/25 |
Bibliographical note
Publisher Copyright:© 2025 Copyright held by the owner/author(s).
Keywords
- Agriculture
- community
- design
- farming
- immigrant
- information management
- self-tracking