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Eliciting and Analysing Users' Envisioned Dialogues with Perfect Voice Assistants
arXiv - CS - Human-Computer Interaction Pub Date : 2021-02-26 , DOI: arxiv-2102.13508
Sarah Theres Völkel, Daniel Buschek, Malin Eiband, Benjamin R. Cowan, Heinrich Hussmann

We present a dialogue elicitation study to assess how users envision conversations with a perfect voice assistant (VA). In an online survey, N=205 participants were prompted with everyday scenarios, and wrote the lines of both user and VA in dialogues that they imagined as perfect. We analysed the dialogues with text analytics and qualitative analysis, including number of words and turns, social aspects of conversation, implied VA capabilities, and the influence of user personality. The majority envisioned dialogues with a VA that is interactive and not purely functional; it is smart, proactive, and has knowledge about the user. Attitudes diverged regarding the assistant's role as well as it expressing humour and opinions. An exploratory analysis suggested a relationship with personality for these aspects, but correlations were low overall. We discuss implications for research and design of future VAs, underlining the vision of enabling conversational UIs, rather than single command "Q&As".

中文翻译:

使用完善的语音助手来筛选和分析用户的预想对话

我们提出了一项对话启发研究,以评估用户如何通过理想的语音助手(VA)预想对话。在一项在线调查中,N = 205位参与者在日常情景中得到提示,并在他们认为完美的对话中写下了用户和VA的界线。我们通过文本分析和定性分析来分析对话,包括单词和转数,对话的社交方面,隐含的VA功能以及用户个性的影响。大多数人设想与具有互动性且不完全是功能性的VA进行对话。它很聪明,主动并且对用户有知识。关于助手的角色以及表达幽默和观点的态度各不相同。一项探索性分析表明,在这些方面与人格相关,但总体上相关性较低。
更新日期:2021-03-01
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