[2O4-J-7] Agents: human interaction

[2O4-J-7-02] Drawing interaction between human and recurrent neural network

Web-based large-scale data collection for training and its analysis

〇Hikaru Yanagida¹, Shingo Murata^2,3, Kentaro Katahira⁴, Shinsuke Suzuki⁵, Tetsuya Ogata¹, Yuichi Yamashita⁶ (1. Department of Intermedia Art and Science, School of Fundamental Science and Engineering, Waseda University, 2. Principles of Informatics Research Division, National Institute of Informatics, 3. Department of Informatics, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies (SOKENDAI), 4. Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, 5. Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, 6. Department of Functional Brain Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry)

Keywords:Human-Agent interaction, Recurrent Neural Network, crowdsourcing

To investigate human interactive behavior, we designed a drawing interaction task between a human and a recurrent neural network (RNN). This study especially collected a large-scale dataset of drawing for training an RNN and self-report psychiatric questionnaires on the web. We visualized the drawing data and analyzed the questionnaire items collected from 1,035 participants. We found correlations between different psychiatric symptoms and the existence of three-factor solutions on the correlation matrix of all the questionnaires.