Physiologically Driven Storytelling: Concept and Software Tool
| Autor: | Jérémy Frey, Jessica R. Cauchard, Gilad Ostrin, May Grabli |
|---|---|
| Přispěvatelé: | Ullo, Interdisciplinay Center Herzliya - Israel (IDC), Interdisciplinay Center Herzliya, Ben-Gurion University of the Negev (BGU) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Framing (visual arts) Computer science Physiology Framing (World Wide Web) media_common.quotation_subject Computer Science - Human-Computer Interaction Interactive Fiction 02 engineering and technology Interactive storytelling Human-Computer Interaction (cs.HC) Human–computer interaction Reading (process) 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Narrative [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Affective computing 050107 human factors media_common Taxonomy Interactive fiction 05 social sciences 020207 software engineering Affective Computing Eye tracking Storytelling State (computer science) Physiological Computing |
| Zdroj: | CHI '20-SIGCHI Conference on Human Factors in Computing System CHI '20-SIGCHI Conference on Human Factors in Computing System, Apr 2020, Honolulu, United States. ⟨10.1145/3313831.3376643⟩ CHI |
| DOI: | 10.1145/3313831.3376643⟩ |
| Popis: | We put forth Physiologically Driven Storytelling, a new approach to interactive storytelling where narratives adaptively unfold based on the reader's physiological state. We first describe a taxonomy framing how physiological signals can be used to drive interactive systems both as input and output. We then propose applications to interactive storytelling and describe the implementation of a software tool to create Physiological Interactive Fiction (PIF). The results of an online study (N=140) provided guidelines towards augmenting the reading experience. PIF was then evaluated in a lab study (N=14) to determine how physiological signals can be used to infer a reader's state. Our results show that breathing, electrodermal activity, and eye tracking can help differentiate positive from negative tones, and monotonous from exciting events. This work demonstrates how PIF can support storytelling in creating engaging content and experience tailored to the reader. Moreover, it opens the space to future physiologically driven systems within broader application areas. CHI '20 - SIGCHI Conference on Human Factors in Computing System, Apr 2020, Honolulu, United States |
| Databáze: | OpenAIRE |
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