研究参与者选择偏见在研讨会使用社会辅助机器人老年人及其对人口代表性的影响
Toshiharu Igarashi1, Ikuko Sugawara2, Takenobu Inoue3
1Department of Human and Engineered Environmental Studies, The University of Tokyo, Kashiwanoha 5-1-5, Chiba 277-8563, Japan.
概括
对于社会辅助机器人 (SAR) 研究的招聘方法可能会带来偏见. 机器人研讨会的参与者表现出比一般老年人群更高的外向和开放性,使他们不那么具有代表性.
科学领域:
- 老年学是指老年学的学科.
- 人与机器人的交互
- 社会机器人社会机器人社会机器人
背景情况:
- 老年人是社会辅助机器人 (SAR) 的关键人口.
- 参与者的个性特征可以影响SAR研究结果.
- 招聘方法可能引入选择偏见,影响群体的代表性.
研究的目的:
- 通过派遣将被招募到机器人研讨会的老年人与日本老年人口的性格特征进行比较.
- 检查未来SAR研究的参与者选择偏见和群体代表性.
- 评估使用派遣方法招募社会孤立个人的可行性.
主要方法:
- 一个机器人研讨会招募了20名老年人 (62-86岁) 通过在一周内派遣.
- 人格特征 (外向,开放) 与日本老年人的全国平均水平进行了比较.
- 用LSNS-6评分来评估社会孤立倾向.
主要成果:
- 与全国平均水平相比,研讨会的参与者平均表现出更高的外向 (+0.40) 和开放性 (+1.09).
- 根据招聘方法和个性特征观察到轻微的选择偏差.
- 只有一个参与者得分低于社会隔离的门,这表明通过派遣来招募这一人口群的困难.
结论:
- 发布作为招聘方法可能会吸引具有特定个性特征的参与者,可能会影响SAR研究结果.
- 目前的招聘策略可能无法有效地接触到经历社会隔离的个人.
- 对参与者招募方法的仔细验证对于SAR研究的有效性至关重要.
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