Work

Empirically Studying Participatory Sense-Making in Abstract Drawing with a Co-Creative Cognitive Agent

Year: 2016

Type: conference-paper

Abstract: This paper reports on the design and evaluation of a co-creative drawing partner called the Drawing Apprentice, which was designed to improvise and collaborate on abstract sketches with users in real time. The system qualifies as a new genre of creative technologies termed "casual creators" that are meant to creatively engage users and provide enjoyable creative experiences rather than necessarily helping users make a higher quality creative product. We introduce the conceptual framework of participatory sense-making and describe how it can help model and understand open-ended collaboration. We report the results of a user study comparing human-human collaboration to human-computer collaboration using the Drawing Apprentice system. Based on insights from the user study, we present a set of design recommendations for co-creative agents.

Source: ACM International Conference on Intelligent User Interfaces (IUI)

DOI: 10.1145/2856767.2856795

Authors: Nicholas Davis, Chih-PIn Hsiao, Kunwar Yashraj Singh, Lisa Li, Brian Magerko

Institution: Georgia Institute of Technology

Language: English

Topic: Innovative Human-Technology Interaction

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Award: HCC: Small: Social Agents and Robots for Open-Ended Domains