Physiologically Driven Storytelling: Concept and Software Tool

Abstract

Figure 1: A story is rendered with PIF while physiological signals are monitored and analyzed in the background to comprehend the reader's experience. The detection of specific states can be used to automatically change the story and augment reading experience as the interactive story unfolds.

Co-Design with Myself: A Brain-Computer Interface Design Tool that Predicts Live Emotion to Enhance Metacognitive Monitoring of Designers

“…Nonetheless, those studies offer creative ideas about how biofeedback could be perceivable and suggest how perceiving biofeedback could benefit metacognitive awareness. Other applications of biofeedback have been explored such as modulating breathing [73], enhancing storytelling, promoting communication [30,81] and gaming [39,65]. One interesting study in the sleep facilitation context discussed design strategies that we found adaptable to our study in the design context [82].…”

PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single- and Multi-User Studies

“…Interventional studies have examined how real-time physiological computing can be used in several contexts, including health monitoring (e.g., stress [24], diabetes [25]), training healthful practices (e.g., respiration [26]), educating children in anatomy [27], communicating affective states between people during chats [28] or VR gameplay [29], sensing passenger comfort in smart cars [30,31], and personalizing content through adaptive narratives (e.g., interactive storytelling [32], adjustable cultural heritage experiences [33], synchronized content between multiple users [34]). Illustrative studies with passive use of physiological computing include assessing user's mental states (e.g., stress, workload and attention) [5,10,35,36], exploring user experiences [37][38][39][40], or objective comparisons with subjective reports [41].…”

PhysioKit: Open-source, Low-cost Physiological Computing Toolkit for Single and Multi-user Studies

“…Interventional physiological computing studies require real-time processing of physiological signals, which is then used to influence interaction with the self, with others, or with technology. Interventional studies have examined how real-time physiological computing can be used in several contexts including health monitoring (e.g., stress [49], diabetes [58]), training healthful practices (e.g., respiration [51]), educating children in anatomy [20], communicating affective states between people during chats [87] or VR gameplay [23], sensing passenger comfort in smart cars [24,67], and personalizing content through adaptive narratives (e.g., interactive storytelling [33], adjustable cultural heritage experiences [47], synchronized content between multiple users [74]).…”