Understanding Farmers' Expectations and Experiences in Using Sensor Technologies

Nanyi Bi; An Pang Lu; Chien Wen Tina Yuan

doi:10.1145/3544549.3585902

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 proceeding › Conference 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 language	English
Title of host publication	CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450394222
DOIs	https://doi.org/10.1145/3544549.3585902
Publication status	Published - 2023 Apr 19
Externally published	Yes
Event	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: 2023 Apr 23 → 2023 Apr 28

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/Territory	Germany
City	Hamburg
Period	2023/04/23 → 2023/04/28

Keywords

knowledge transfer
prototype
smart farming
user experience

ASJC Scopus subject areas

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

Access to Document

10.1145/3544549.3585902

Cite this

Bi, N., Lu, A. P., & Yuan, C. W. T. (2023). Understanding Farmers' Expectations and Experiences in Using Sensor Technologies. In CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems Article 298 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3544549.3585902

Understanding Farmers' Expectations and Experiences in Using Sensor Technologies. / Bi, Nanyi; Lu, An Pang; Yuan, Chien Wen Tina.
CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. 298 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bi, N, Lu, AP & Yuan, CWT 2023, Understanding Farmers' Expectations and Experiences in Using Sensor Technologies. in CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 298, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, 2023/04/23. https://doi.org/10.1145/3544549.3585902

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AB - 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.

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Understanding Farmers' Expectations and Experiences in Using Sensor Technologies

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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