Data and analysis underlying the research into the Artificial-Social-Agent Questionnaire: Establishing the long and short questionnaire versions

We present a technical report, data and analysis underlying the study on establishing the Artificial Social Agent (ASA) Questionnaire. The ASA Questionnaire is an instrument for evaluating human interaction with an ASA, resulted from multi-year efforts involving more than 100 Intelligent Virtual Agent (IVA) researchers worldwide. It has 19 measurement constructs constituted by 90 items, which capture more than 80% of the constructs identified in empirical studies published in the IVA conference 2013-2018. This paper reports on construct validity analysis, specifically convergent and discriminant validity of initial 131 instrument items that involved 532 crowd-workers who were asked to rate human interaction with 14 different ASAs. The analysis included several factor analysis models, and resulted in the selection of 90 items for inclusion of the long version of the ASA questionnaire. In addition, a representative item of each construct or dimension was select to create a 24-item short version of the ASA questionnaire. Whereas the long version is suitable for a comprehensive evaluation of human-ASA interaction, the short version allows quick analysis and description of the interaction with the ASA. To support reporting ASA questionnaire results, we also put forward an ASA chart. The chart provides a quick overview of agent profile.

本研究围绕人工社交智能体（Artificial Social Agent, ASA）问卷的编制展开工作，本文提供了支撑该研究的技术报告、原始数据与分析结果。ASA问卷是用于评估人类与人工社交智能体交互体验的标准化工具，其编制历经多年研究，集结了全球超过100名智能虚拟体（Intelligent Virtual Agent, IVA）领域研究者参与。该问卷包含19个测量构念，共90个题项，覆盖了2013-2018年IVA学术会议收录的实证研究中所识别出的80%以上的构念。本文针对该问卷的构念效度展开分析，重点探讨了初始131个问卷题项的会聚效度与区分效度。本次分析共招募532名众包工作者，要求其对人类与14款不同人工社交智能体的交互体验进行评分。本次分析采用了多种因子分析模型，最终筛选出90个题项，形成ASA问卷的长版本。此外，研究团队从每个测量构念或维度中选取代表性题项，构建了包含24个题项的ASA问卷短版本。长版本问卷适用于对人类-智能体交互开展全面评估，而短版本问卷则可实现对交互体验的快速分析与描述。为便于ASA问卷结果的汇报与展示，研究团队还提出了ASA可视化图表，可快速呈现智能体的整体画像。