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.
Authors
- Tongshuang Wu (ORCID: https://orcid.org/0000-0003-1630-0588)
- Diyi Yang (ORCID: https://orcid.org/0000-0003-1220-3983)
- Dora Zhao
- Qianou Ma
- Xinran Zhao
- Chenglei Si
- Chenyang Yang
- Ryan Louie
- Ehud Reiter
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
Funders
- Brown Institute for Media Innovation
- Office of Naval Research