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陳美伶
【HCI/UX 研究】Siri語音助理互動研究
【HCI/UX 研究】Siri語音助理互動研究
【HCI/UX 研究】Siri語音助理互動研究
By
陳美伶
Senior UX Researcher
・
Taiwan Province, Taiwan
Connect
■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
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陳美伶
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Published: 4월 30일 2019
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質性分析
量化分析
混合研究方法
UX研究
ux research
研究
人機互動
HCI
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