Entrain

Scurto, Hugo; Liu, Wanyu; Matuszewski, Benjamin; Bevilacqua, Frédéric; Frechin, Jean-Louis; Petrevski, Uros; Schnell, Norbert

doi:10.1145/3306306.3328004

Cited by 2 publications

(3 citation statements)

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“…Once the potential targets Θ and their probability distribution p(θ), system feedback X, user input Y and user behavior p(y|x, θ) are modeled, one can compute the actual information gain, or the information carried by the user input informing the computer of what she wants. We have applied this approach to two other areas: file retrieval [7] and collective music making [8].…”

Section: Other Applicationsmentioning

confidence: 99%

“…Entrain [8] is an intelligent agent for encouraging social interaction in collective music making. Here BIG is used to adapt a probabilistic model of individual user behavior, which is calculated based on user activity and rhythmic periodicity, and modulates music creation at both individual and collective levels via visual and auditory feedback.…”

Section: Other Applicationsmentioning

confidence: 99%

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Bayesian Information Gain to Design Interaction

Liu

Rioul

Beaudouin-Lafon

2022

Bayesian Methods for Interaction and Design

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This chapter discusses a perspective on designing interaction by quantifying information that reduces the computer's uncertainty about the user's goal. We begin with how to quantify uncertainty and information using Shannon's information-theoretic terms and how to optimize decisions under uncertainty using an expected utility function with Bayesian Experimental Design. We then describe the BIG framework -Bayesian Information Gain -where the computer "runs experiments" on the user by sending feedback that maximizes the expected gain of information by the computer, and uses the users' subsequent input to update its knowledge as interaction progresses. We demonstrate a BIG application to multiscale navigation, discuss some limitations of the BIG framework and conclude with future possibilities.

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Section: Other Applicationsmentioning

confidence: 99%

Section: Other Applicationsmentioning

confidence: 99%

Bayesian Information Gain to Design Interaction

Liu

Rioul

Beaudouin-Lafon

2022

Bayesian Methods for Interaction and Design

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“…Loop start and loop stop are rhythmically synchronous to the already running loops. A similar setup can be seen in Entrain [78], a distributed and collective musical instrument that synchronizes eight layers of sequences.…”

Section: Electro Dancementioning

confidence: 99%

SonicHoop: Using Interactive Sonification to Support Aerial Hoop Practices

Liu

Dementyev

Schwarz

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Entrain

Abstract: Figure 1: (a) Collective music making using Entrain in Coloop and (b) UIs for 3 users with their respective digital instrument.

Cited by 2 publications

References 4 publications

Bayesian Information Gain to Design Interaction

Bayesian Information Gain to Design Interaction

SonicHoop: Using Interactive Sonification to Support Aerial Hoop Practices

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