Introducing curiosities in a conversation is a way to teach something new to
the person in a pleasant and enjoyable way. Enriching dialogues with
contextualized curiosities can improve the users' perception of a dialog system
and their overall user experience. In this paper, we introduce a set of curated
curiosities, targeting dialogues in the cooking and DIY domains. In particular,
we use real human-agent conversations collected in the context of the Amazon
Alexa TaskBot challenge, a multimodal and multi-turn conversational setting.
According to an A/B test with over 1000 conversations, curiosities not only
increase user engagement, but provide an average relative rating improvement of
9.7%.

通过加入趣味性的对话，丰富上下文的好奇心可以提升用户对于对话系统的感知和整体使用体验。本文介绍了一系列针对烹饪和 DIY 领域对话的精心挑选的趣味点，通过亚马逊 Alexa TaskBot 挑战中收集的真人与 Agent 之间的对话进行了多模式和多轮对话。根据 1000 多个对话的 A/B 测试结果，好奇点不仅增加用户参与度，而且平均提高了 9.7% 的相对评分。

好奇心的魔法师：丰富对话与有趣事实

The Wizard of Curiosities: Enriching Dialogues with Fun Facts

Everyday, more and more people are turning to online learning, which has
altered our traditional classroom method. Recording lectures has always been a
normal task for online educators, and it has lately become even more important
during the epidemic because actual lessons are still being postponed in several
countries. When recording lectures, a graphics tablet is a great substitute for
a whiteboard because of its portability and ability to interface with
computers. This graphic tablet, however, is too expensive for the majority of
instructors. In this paper, we propose a computer vision-based alternative to
the graphics tablet for instructors and educators, which functions largely in
the same way as a graphic tablet but just requires a pen, paper, and a laptop's
webcam. We call it "Do-It-Yourself Graphics Tab" or "DIY Graphics Tab". Our
system receives a sequence of images of a person's writing on paper acquired by
a camera as input and outputs the screen containing the contents of the writing
from the paper. The task is not straightforward since there are many obstacles
such as occlusion due to the person's hand, random movement of the paper, poor
lighting condition, perspective distortion due to the angle of view, etc. A
pipeline is used to route the input recording through our system, which
conducts instance segmentation and preprocessing before generating the
appropriate output. We also conducted user experience evaluations from the
teachers and students, and their responses are examined in this paper.

本文介绍了一种基于人工智能的 DIY 图形板，用于在线教育中代替昂贵的图形板，通过计算机视觉技术实现人手写字识别并在电脑屏幕上呈现，我们同时对用户体验进行了评价。