陳美伶

【HCI/UX 研究】Siri語音助理互動研究[HCI/UX Research] Siri Voice Assistant Interactive Research

By 陳美伶, April 30, 2019

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【HCI/UX 研究】Siri語音助理互動研究
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■研究背景 由於AI語音助理的低透明度,使用者難以全面了解該如何使用,導致使用者的心智模型難以和系統真正功能契合。 ■研究方法 在此研究中,我們使用質性量化混合的研究方法:包含使用性測試(Usability Testing)、放聲思考法(Think-aloud),探討「個人使用經驗」和「AI科技知識」如何影響和語音助理間的互動。 ■研究結果 透過統計數據分析、主題分析(Thematic Analysis)我們了解到: 1. 擁有AI科技知識者,會主動推測分析語音助理的背後運作原理,使用更精簡、關鍵字導向的語句。 2. 擁有越多使用經驗的人,更傾向將語音助理擬人化、當成生活的聊天夥伴。 3. 商業廣告可能會導致使用者過度期待,但隨著使用時間越長,使用者越能找到和語音助理間的「獨特互動模式」。 ACM Library連結:https://dl.acm.org/citation.cfm?id=3180362 論文下載:https://meiling.csie.io/publication/iui2018.pdf
■ Research Background Due to the low transparency of the AI voice assistant, it is difficult for the user to fully understand how to use it, which makes the user's mental model difficult to match the true function of the system. ■ Research Methods In this study, we used qualitative and quantitative hybrid research methods: including Usability Testing and Think-aloud to explore how “personal experience” and “AI technology knowledge” affect Interaction with the voice assistant. ■ Research results Through statistical analysis, thematic analysis (Thematic Analysis) we learned: 1. Those who have AI technology knowledge will actively speculate on the operation behind the analysis of voice assistants, using more streamlined, keyword-oriented statements. 2. The more people who have experience, the more inclined to anthropomorphize the voice assistant as a chat partner of life. 3. Commercial advertising may cause users to expect too much, but as the usage time increases, the more users can find the "unique interaction mode" with the voice assistant. ACM Library link: https://dl.acm.org/citation.cfm?id=3180362 Paper download: https://meiling.csie.io/publication/iui2018.pdf

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