SlideSpecs: Automatic and Interactive Presentation Feedback Collation

Jeremy Warner, Amy Pavel, Tonya Nguyen, Maneesh Agrawala, Bjoern Hartmann
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引用次数: 1

Abstract

Presenters often collect audience feedback through practice talks to refine their presentations. In formative interviews, we find that although text feedback and verbal discussions allow presenters to receive feedback, organizing that feedback into actionable presentation revisions remains challenging. Feedback may lack context, be redundant, and be spread across various emails, notes, and conversations. To collate and contextualize both text and verbal feedback, we present SlideSpecs. SlideSpecs lets audience members provide text feedback (e.g., ‘font too small’) while attaching an automatically detected context, including relevant slides (e.g., ‘Slide 7’) or content tags (e.g., ‘slide design’). SlideSpecs also records and transcribes spoken group discussions that commonly occur after practice talks and facilitates linking text critiques to relevant discussion segments. Finally, presenters can use SlideSpecs to review all text and spoken feedback in a single contextually rich interface (e.g., relevant slides, topics, and follow-up discussions). We demonstrate the effectiveness of SlideSpecs by deploying it in eight practice talks with a range of topics and purposes and reporting our findings.
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幻灯片:自动和交互式演示反馈整理
演讲者经常通过练习演讲来收集听众的反馈,以完善他们的演讲。在形成性访谈中,我们发现,尽管文本反馈和口头讨论允许演示者接收反馈,但将这些反馈组织成可操作的演示文稿修订仍然具有挑战性。反馈可能缺乏上下文,是多余的,并且分散在各种电子邮件、笔记和对话中。为了对文本和口头反馈进行整理和语境化,我们提供幻灯片。SlideSpecs允许观众提供文本反馈(例如,“字体太小”),同时附加一个自动检测的上下文,包括相关幻灯片(例如,“幻灯片7”)或内容标签(例如,“幻灯片设计”)。slidesecs还记录和转录了通常在练习演讲后发生的口头小组讨论,并促进了将文本评论链接到相关讨论部分。最后,演示者可以使用slidesecs在一个上下文丰富的界面(例如,相关的幻灯片、主题和后续讨论)中查看所有文本和语音反馈。我们通过在一系列主题和目的的八次实践会谈中部署幻灯片演示了它的有效性,并报告了我们的发现。
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