Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   analyze the effectiveness of Prevoyant, a planning-based computational model of surprise arousal suggested in our previous paper [1]. This evaluation was performed by measuring the effect of stories produced by this method on several factors contributing to surprise in narratives (e.g., expectation failures, the importance of story events, the emotional valence of a reader, and resolution) and their relation to story interest. To measure the ratings of a reader's surprise and story interest,  conducted a pilot study, where three different discourse types — Chronological, Flashback, and Flashback with Foreshadowing — re compared. A one-way ANOVA and a priori pair-wise comparisons confirmed that the mean ratings of surprise and interestingness increased at the .01 and .05 level, respectively. While the number of subjects in this study was relatively small, the significance of our results argues for support to the claim that the computational model  evaluated can effectively manipulate readers' sense of surprise in their experience of a narrative.
['Byung-Chull Bae', 'R. Michael Young']
I am writing a research paper on a idea Evaluation of a computational model of surprise arousal in narratives
[{"from": "human", "value": "I am writing a research paper on a idea Evaluation of a computational model of surprise arousal in narratives"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   analyze the effectiveness of Prevoyant, a planning-based computational model of surprise arousal suggested in our previous paper [1]. This evaluation was performed by measuring the effect of stories produced by this method on several factors contributing to surprise in narratives (e.g., expectation failures, the importance of story events, the emotional valence of a reader, and resolution) and their relation to story interest. To measure the ratings of a reader's surprise and story interest,  conducted a pilot study, where three different discourse types \u2014 Chronological, Flashback, and Flashback with Foreshadowing \u2014 re compared. A one-way ANOVA and a priori pair-wise comparisons confirmed that the mean ratings of surprise and interestingness increased at the .01 and .05 level, respectively. While the number of subjects in this study was relatively small, the significance of our results argues for support to the claim that the computational model  evaluated can effectively manipulate readers' sense of surprise in their experience of a narrative."}]