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 …

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 …