Eliciting and Analysing Users' Envisioned Dialogues with Perfect Voice Assistants
| Autor: | Malin Eiband, Daniel Buschek, Sarah Theres Völkel, Benjamin R. Cowan, Heinrich Hussmann |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
media_common.quotation_subject 05 social sciences Computer Science - Human-Computer Interaction 020207 software engineering 02 engineering and technology Exploratory analysis computer.software_genre Human-Computer Interaction (cs.HC) H.5.2 Qualitative analysis Human–computer interaction Voice assistant 0202 electrical engineering electronic engineering information engineering Personality 0501 psychology and cognitive sciences Conversation Purely functional Dialog system Adaptation (computer science) Psychology computer 050107 human factors media_common |
| Zdroj: | CHI |
| Popis: | 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". 15 pages, 4 figures, 3 tables, ACM CHI 2021 |
| Databáze: | OpenAIRE |
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