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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: March 5, 2016
Summary Sentence:
March 7-10th Sonoma, CA
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Drawing ApprenticeThe ADAM Lab is presenting two papers at the upcoming ACM Intelligent User Interfaces (IUI) Conference. The conference is hosted in Sonoma, CA from March 7th through March 10th.
Rania Hodhod and Brian Magerko, Associate Professor of Digital Media, will be presenting “Closing the Cognitive Gap between Humans and Interactive Narrative Agents Using Shared Mental Models”.
Rania was a Postdoctoral Research Fellow at the ADAM Lab in the Georgia Tech School of Literature, Media and Communication where she researched and developed a computational model for shared mental models in digital improvisation environments, in addition to the development of a new context-based structural retrieval algorithm for cognitive scripts. In 2013, Rania joined the Entertainment Intelligence Lab in the Georgia Tech School of Interactive Computing where she researched procedural generation of computer game content, commonsense knowledge bases and computational creativity. She is an Assistant Professor at Columbus State University
Nicholas Davis (PhD candidate, HCC), Chih-PIn Hsiao (PhD candidate, Architecture), Kunwar Yashraj Singh (CS), Lisa Li (MS, HCI), and Brian Magerko will be presenting a paper entitled “Empirically Studying Participatory Sense-Making in Abstract Drawing with a Co-Creative Cognitive Agent”. This paper is a result of the project entitled Drawing Apprentice, which is led by Nicholas Davis.
The Drawing Apprentice is an enactive AI drawing partner. It is ‘enactive’ in the sense that its contributions are improvisational and based on the input of the user. There is a reciprocal feedback loop between the user and the system. The system models the user’s creative process and artistic style to determine how to collaborate through real time improvisation. As a result, the user is influenced, and perhaps even inspired, by contributions made by the Drawing Apprentice. Instead of a creative human or creative computer, we conceptualize the human-AI pair as a creative system whereby creativity emerges through an interactive and negotiated process of collaboration, experimentation, play, and learning by doing.
