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JeL project data from Fun Palace June 25, 2019
Federated Research Data Repository / dépôt fédéré de données de recherche
Riecke, Bernhard E.; Stepanova, Ekaterina; Desnoyers-Stewart, John; Pasquier, Philippe — 2020-04-23 This data set contains data in relation to an exhibition of immersive installation JeL. One part of the data is a survey of 12 participants who have interacted with JeL and agreed to complete a post experience questionnaire (Interactive_Exhibit_Survey.csv). The other part of the data contains the breathing data recordings from pairs of participants interacting with the installation throughout the night (JeL_2019-06-25_19-16-47.csv). This data was collected on June 25th, 2019 at Centre for Digital Media during the Fun Palace Carnival of Mixed Realities. Content type is survey data and respiration data and software used was Survey Monkey. Source of data was attendees of Fun Palace Carnival of Mixed Realities. Confidentiality declaration: all data is de-identified. This dataset was originally deposited in the Simon Fraser University institutional repository.
SFU Research Data (FRDR) Logo
The Pulse Breath Water System: Exploring Breathing as an Embodied Interaction for Enhancing the Affective Potential of VR
Federated Research Data Repository / dépôt fédéré de données de recherche
Pasquier, Philippe; Prpa, Mirjana; Tatar, Kıvanç; Riecke, Bernhard E. — 2017-01-09 We study Pulse Breath Water, an immersive virtual environment (VE) with affect estimation in sound. We employ embodied interaction between a user and the system through the user's breathing frequencies mapped to the system's behaviour. In this study we investigate how two different mappings (metaphoric, and "reverse") of embodied interaction design might enhance the affective properties of the presented system. We build on previous work in embodied cognition, embodied interaction, and affect estimation in sound by examining the impact of affective audiovisuals and two kinds of interaction mapping on the user's engagement, affective states, and overall experience. The insights gained through questionnaires and semi-structured interviews are discussed in the context of participants' lived experience and the limitations of the system to be addressed in future work. Content type is respiratory sensor data synched with audio and format of files is .mubu (see MAX Sound Box Library by IRCAM). Software used was MAX 7 by Cycling74. Confidentiality declaration: The data is anonymous. This dataset was originally deposited in the Simon Fraser University institutional repository.

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(Author: Pasquier, Philippe)

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