SPHERE: An Evaluation Card for Human-AI Systems

In the era of Large Language Models (LLMs), establishing effective evaluation methods and standards for diverse human-AI interaction systems is increasingly challenging.To encourage more transparent documentation and facilitate discussion on human-AI system evaluation design options, we present an evaluation card SPHERE, which encompasses five key dimensions: 1) What is being evaluated?; 2) How is the evaluation conducted?; 3) Who is participating in the evaluation?; 4) When is evaluation conducted?; 5) How is evaluation validated?We conduct a review of 39 human-AI systems using SPHERE, outlining current evaluation practices and areas for improvement.We provide three recommendations for improving the validity and rigor of evaluation practices.* Co-first authors.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.70
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00

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SPHERE: An Evaluation Card for Human-AI Systems

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SPHERE: An Evaluation Card for Human-AI Systems

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article en

Abstract

In the era of Large Language Models (LLMs), establishing effective evaluation methods and standards for diverse human-AI interaction systems is increasingly challenging.To encourage more transparent documentation and facilitate discussion on human-AI system evaluation design options, we present an evaluation card SPHERE, which encompasses five key dimensions: 1) What is being evaluated?; 2) How is the evaluation conducted?; 3) Who is participating in the evaluation?; 4) When is evaluation conducted?; 5) How is evaluation validated?We conduct a review of 39 human-AI systems using SPHERE, outlining current evaluation practices and areas for improvement.We provide three recommendations for improving the validity and rigor of evaluation practices.* Co-first authors.

Brown Institute for Media Innovation, Office of Naval Research
Openalex Percentile: Top 78%
Robotics and Automated Systems
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