Lab’s paper led by Morteza Behrooz tiled Story Quality as a Matter of Perception: Using Word Embeddings to Estimate Cognitive Interest has been accepted for ORAL presentation at the AIIDE conference 2019 to be held in Atlanta, GA from October 8-12.
Storytelling is a capable tool for interactive agents and better stories can enable better interactions. Many existing automated evaluation techniques are either focused on textual features that are not necessarily reflective of perceived interestingness (e.g. coherence), or are domain-specific, relying on a priori semantics models (e.g. in a game). However, the effectiveness of storytelling depends both on its versatility to adapt to new domains and the perceived interestingness of its generated stories. In this paper, drawing from cognitive science literature, we propose and evaluate a method for estimating cognitive interest in stories based on the level of predictive inference they cause during perception.
This paper continues the thread of determining measures of interestingness in mundane event sequences when they are communicated as narratives.
Investigating the Use of Word Embeddings to Estimate Cognitive Interest in Stories, proceedings of the Annual Conference of the Cognitive Science Society, 2019 (forthcoming)
Cognitive and Experiential Interest in Abstract Visual Narrative, proceedings of the Annual Conference of the Cognitive Science Society, 2018
Modeling Social Interestingness in Conversational Stories, in proceedings of the Australasian Computer Science Week Multi-Conference, 2018.