SPHERE: An Evaluation Card for Human-AI Systems

Ma, Qianou, Zhao, Dora, Zhao, Xinran, Si, Chenglei, Yang, Chenyang, Louie, Ryan, Reiter, Ehud, Yang, Diyi, Wu, Tongshuang

arXiv.org Artificial Intelligence 

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.