German ASA Questionnaire Translation - Part 1: Translation and Formative Assessment
收藏4TU.ResearchData2023-06-26 更新2026-04-23 收录
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https://data.4tu.nl/datasets/1975af9a-9b58-4dde-ae58-58e1001ef553
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资源简介:
This is the data and analysis code for the formative assessment of the German translation of the Artificial Social Agent (ASA) Questionnaire. This questionnaire can be used to characterize interactions between humans and ASAs.<br>The original English questionnaire can be found with this DOI: 10.4121/19650846.<br><strong>Studies</strong>The formative assessment consists of 3 rounds of assessing the correlation between original English questionnaire items and their German translations. English items with too low correlation scores in a round are retranslated and re-assessed in the subsequent round. The assessment consists of people who indicate having German as their first and primary language, being fluent in English, and being bilingual rating the English items and their German translations for the human-ASA interaction depicted in a 30-second video clip. The studies were run on the online crowdsourcing platform Prolific.<br>The studies have been pre-registered here: https://osf.io/adknw.<br><strong>Data</strong>For each round, we provide the ratings for the English and German questionnaire items as well as data on the characteristics of the participants (age, gender, highest completed education level from their Prolific profiles). A random identifier called "rand_id" can be used to link the data files.<br>In case of questions, please contact Nele Albers (n.albers@tudelft.nl) or Willem-Paul Brinkman (w.p.brinkman@tudelft.nl).
本数据集包含人工社交智能体(Artificial Social Agent, ASA)问卷德语译本形成性评估所需的数据与分析代码。该问卷可用于刻画人类与人工社交智能体之间的交互特征。原始英文问卷可通过以下数字对象标识符(DOI)获取:10.4121/19650846。
**研究**
本次形成性评估共开展3轮评估,用于检验英文原版问卷条目与其德语译本之间的相关性。若某一轮中部分英文条目相关性得分过低,则会对其进行重新翻译,并在下一轮评估中再次评估。本次评估的参与者需满足以下条件:以德语为母语且精通英语的双语使用者,他们需要针对一段30秒的人类与人工社交智能体交互的视频片段,对英文问卷条目及其德语译本进行评分。本研究通过在线众包平台Prolific实施。本研究已预先注册,注册链接:https://osf.io/adknw。
**数据**
每一轮评估均提供英文与德文问卷条目的评分数据,以及参与者的特征信息(年龄、性别、Prolific平台上填写的最高受教育程度)。所有数据可通过统一的随机标识符"rand_id"进行关联。如有任何疑问,请联系Nele Albers(邮箱:n.albers@tudelft.nl)或Willem-Paul Brinkman(邮箱:w.p.brinkman@tudelft.nl)。
提供机构:
Ehret, Jonathan; Bokel, Emma; Bönsch, Andrea; Khodakov, Boleslav
创建时间:
2023-06-26



