Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues: Scenarios & Dialogues

The data is the scenarios and dialogues used in the focus groups underlying the paper "Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues: An exploratory focus group study" by Pei-Yu Chen, Myrthe Tielman, Dirk Heylen, Catholijn Jonker, and Birna van Riemsdijk. The goal of this paper is to explore what potential users like or dislike about certain aspects of the dialogues and identify dimensions that are important for designing good alignment dialogues.<br><strong>Study</strong>We performed an exploratory focus group user study, in which we showed participants six scenarios with different variants of how we envision such alignment dialogues might look like. The scenarios and dialogues are in textual form. After they finished reading, we asked them to discuss and compare the dialogues, and then we moved on to the next scenario and discussion. The process continued until all six scenarios were discussed. For the structure of the discussion, we prepared the following questions to guide the participants:Which version of the dialogue do you prefer, or which part of which dialogue do you prefer? Why?Is there a certain part of the dialogue that you particularly like/not like? Why? How would you want to do it instead?Which dialogue is more ‘intelligent’, as in has more capability in providing support?Do you feel one dialogue is more supportive than the other?After which dialogue do you think the agent would be more ‘on the same page’ as you?<br><strong>Data &amp; analysis</strong>We transcribed the focus group sessions and analyzed the transcriptions using inductive thematic analysis with the addition of triangulation with literature.

本数据集包含的是Pei-Yu Chen、Myrthe Tielman、Dirk Heylen、Catholijn Jonker与Birna van Riemsdijk发表的论文《通过人机智能体对齐对话获取用户模型更新所需语义知识：一项探索性焦点小组研究》（Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues: An exploratory focus group study）所依托的焦点小组访谈所用场景与对话文本。本研究的目标是探索潜在用户对各类对话相关维度的好恶倾向，并识别出设计优质对齐对话的关键维度。<br><strong>研究实施</strong>我们开展了一项探索性焦点小组用户研究，向参与者展示了6个场景，每个场景均配有我们设想的此类对齐对话的不同版本。所有场景与对话均以文本形式呈现。参与者阅读完毕后，需对对话展开讨论与对比，随后进入下一场景及对应讨论环节，该流程持续至全部6个场景均完成讨论。为规范讨论流程，我们预先准备了以下引导性问题：<br>你更偏好哪一版本的对话，或是对话中的哪一部分？理由是什么？<br>是否存在你格外喜爱或反感的对话片段？理由为何？你倾向于采用何种替代方案？<br>哪一段对话更具“智能性”，即其提供支持的能力更强？<br>你是否认为某一段对话比其他对话更具支持性？<br>你认为在哪一段对话中，智能体与你更能达成共识？<br><strong>数据与分析</strong>我们对所有焦点小组访谈的录音进行了转写，并结合文献三角验证法，采用归纳式主题分析法对转写文本展开分析。