EAGER: Augmenting Human Creativity Through Human-Robot Interaction

很少有人会不同意创造力在人类生活中的重要性。科学依赖于创造性的头脑。当今各国的经济生存能力也是如此。这项拨款的目标是在人机交互方面开辟一个新的前沿，从而通过人机交互来增强人类的创造力。这种可能性可以通过在社交机器人中嵌入复杂的搜索功能和人工智能软件来实现，然后社交机器人与用户进行对话，决定搜索的关键术语，过滤结果（基于用户独特和长期的历史记录），并决定在人机对话的特定节点提出哪些结果。智力价值：有四个总体目标：(1)概念化创造力领域，并在人机交互中产生创造力方法。(2)开发人机交互模式，建立(a)人们与社交机器人之间的先前社会关系，使人们愿意与机器人一起进行创作，以及(b)与机器人之间的互动是为了创作过程本身。(3)开展与ATR公司的人形机器人Robovie互动培养创造力的试点研究。(4)进行一项正式的研究，用ATR的人形机器人Robovie测试新形式的创造力。更广泛的影响：本研究将(1)导致本科生和研究生的指导；(2)扩大女性在HCI中的参与；(3)促进日本领先实验室的专家知识向美国转移。更广泛地说，(4)在未来3-10年内，这种形式的人机交互可能会提供一种全新的方式，让人们产生新的知识，从而有助于促进科学以及一些人文学科的指数级增长，因此，这种对HRI的新愿景可能是变革性的。

Few would disagree about the importance of creativity in human lives. Science depends on the creative mind. So does the economic viability of nations today. The goal of this grant is to open up a new frontier in human-robot interaction whereby it becomes possible to augment human creativity through human-robot interaction. This possibility could emerge by embedding sophisticated search functions and AI software in a social robot, which then engages in dialog with the user, decides on key terms for a search, filters the results (based on unique and long-standing histories of the user), and decides which results to bring forward at specific junctions in the human-robot dialog. Intellectual Merit: There are four overarching goals: (1) To conceptualize the creativity domain and to generate creativity methods in human-robot interaction. (2) To develop human-robot interaction patterns that set up (a) people's prior social relationships with a social robot such that people are open to creating with the robot, and (b) the interactions with the robot for the creative process itself. (3) Piloting research toward fostering creativity in interaction with ATR's humanoid robot, Robovie. And (4) conducting a formal research study to test new forms of creativity with ATR's humanoid robot, Robovie.Broader Impacts: This research will (1) lead to the mentoring of undergraduate and graduate students; (2) broaden the participation of females in HCI; and (3) promote the transfer of expert knowledge from a leading Japanese laboratory to the United States. More broadly, (4) this new vision for HRI could be transformative insofar as over the next 3-10 years this form of human-robot interaction could provide an entirely new way that people generate new knowledge, and thereby help promote exponential growth in the sciences, as well as in some of the humanities.