Understanding Farmers' Expectations and Experiences in Using Sensor Technologies

Nanyi Bi, An Pang Lu, Chien Wen Tina Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sensor-enabled tracking technologies have been applied in farming systems to enhance the efficiency by documenting detailed information about farms and making predictions. However, less is known about how farmers make sense of the tracked data and act upon them. Investigating how some Taiwanese farmers respond to a system that monitors those data, this study found that farmers need historical data as well as real-time ones from multiple sources and that it could be challenging for them to make sense of the data to the point that they want to outsource part of their decision-making to the system.

Original languageEnglish
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450394222
DOIs
Publication statusPublished - 2023 Apr 19
Externally publishedYes
Event2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany
Duration: 2023 Apr 232023 Apr 28

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/TerritoryGermany
CityHamburg
Period2023/04/232023/04/28

Keywords

  • knowledge transfer
  • prototype
  • smart farming
  • user experience

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Fingerprint

Dive into the research topics of 'Understanding Farmers' Expectations and Experiences in Using Sensor Technologies'. Together they form a unique fingerprint.

Cite this