Explainability Needs in Agriculture: Exploring Dairy Farmers' User Personas - Survey Questions

This artifact contains the survey questions used for the research paper “Explainability Needs in Agriculture: Exploring Dairy Farmers' User Personas” submitted and accepted at the 33rd IEEE International Requirements Engineering 2025 Conference Workshop on the 1st International Workshop on Requirements Engineering for Responsible and Conscious Human-Centered AI (REACH-AI). The questions were originally written in German and later translated into English for publication. The survey was distributed via LimeSurvey.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.14976354
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Explainability Needs in Agriculture: Exploring Dairy Farmers' User Personas - Survey Questions

Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
article

Explainability Needs in Agriculture: Exploring Dairy Farmers' User Personas - Survey Questions

article en

Abstract

This artifact contains the survey questions used for the research paper “Explainability Needs in Agriculture: Exploring Dairy Farmers' User Personas” submitted and accepted at the 33rd IEEE International Requirements Engineering 2025 Conference Workshop on the 1st International Workshop on Requirements Engineering for Responsible and Conscious Human-Centered AI (REACH-AI). The questions were originally written in German and later translated into English for publication. The survey was distributed via LimeSurvey.

Zenodo (CERN European Organization for Nuclear Research)
Leibniz University Hannover (DE), University of Kaiserslautern (DE), Fraunhofer Institute for Experimental Software Engineering (DE), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Zero hunger
Openalex Percentile: Top 74%
Explainable Artificial Intelligence (XAI)
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Explainability Needs in Agriculture: Exploring Dairy Farmers' User Personas - Survey Questions · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS