Abstract
Interactive storytelling balances the desire to create dynamic, engaging experiences around characters and situations with the practical considerations of the cost of producing content. We describe a method for assessing player experience by analyzing player facial expressions following key content events in The Wolf Among Us by Telltale Games. Two metrics, engagement and valence, are extracted for six participants who play the first episode of the game. An analysis of the variance and distribution of responses relative to emotionally charged content events and choices suggests that content is designed around events that serve to anchor player emotions while providing the freedom to respond through emotionally-motivated choice selections and content elicitors.
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Notes
- 1.
The specific AUs used in each metric can be found at Affectiva’s website, https://developer.affectiva.com/mapping-expressions-to-emotions/.
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Murray, J.T., Robinson, R., Mateas, M., Wardrip-Fruin, N. (2018). Comparing Player Responses to Choice-Based Interactive Narratives Using Facial Expression Analysis. In: Rouse, R., Koenitz, H., Haahr, M. (eds) Interactive Storytelling. ICIDS 2018. Lecture Notes in Computer Science(), vol 11318. Springer, Cham. https://doi.org/10.1007/978-3-030-04028-4_6
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