Title

Comparing Player Responses To Choice-Based Interactive Narratives Using Facial Expression Analysis

Keywords

Analyses and evaluation of systems; Emotion; Facial expression analysis; Interactive storytelling; Media annotation

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.

Publication Date

1-1-2018

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

11318 LNCS

Number of Pages

79-92

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-030-04028-4_6

Socpus ID

85058329279 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85058329279

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