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Natural Interaction in Intelligent Spaces: Designing for Architecture and Entertainment [chapter]

Flavia Sparacino
2009 Handbook of Multimedia for Digital Entertainment and Arts  
Thanks to wireless sensing techniques it is possible to endow a space with perceptual intelligence, and make it aware of how people use it, move in it, or react to it.  ...  This paper describes the guiding principles and modeling approaches that, according to the author, enable a robust modeling of user input and communication strategies for digital content presentation in  ...  Markov Models, a particular case of a Bayesian Networks, provides the means for people to interact with a 3-D world in a natural way.  ... 
doi:10.1007/978-0-387-89024-1_32 fatcat:xau6vzf4ynenbmwqzhgpzym5uq

Natural interaction in intelligent spaces: Designing for architecture and entertainment

Flavia Sparacino
2008 Multimedia tools and applications  
Thanks to wireless sensing techniques it is possible to endow a space with perceptual intelligence, and make it aware of how people use it, move in it, or react to it.  ...  This paper describes the guiding principles and modeling approaches that, according to the author, enable a robust modeling of user input and communication strategies for digital content presentation in  ...  Markov Models, a particular case of a Bayesian Networks, provides the means for people to interact with a 3-D world in a natural way.  ... 
doi:10.1007/s11042-007-0193-9 fatcat:k5yszxwx3fdwbjr5uy3zrnwnzy

Walk the line: Toward an efficient user model for recommendations in museums

Pierre-Edouard Osche, Sylvain Castagnos, Amedeo Napoli, Yannick Naudet
2016 2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)  
Contrary to many application domains, recommending items within a museum is not only a question of preferences. Of course, the visitors expect suggestions that are likely to interest or please them.  ...  As a work-in-progress, we propose a new representation model which includes psychological, physical and social variables so as to increase user satisfaction and enjoyment.  ...  bayesian network, a Markov chain, or an Hidden Markov Model.  ... 
doi:10.1109/smap.2016.7753389 dblp:conf/smap/OscheCNN16 fatcat:fddfzmamqrc5fma7tmxk2hwdpi

Site Experience Enhancement and Perspective in Cultural Heritage Fruition—A Survey on New Technologies and Methodologies Based on a "Four-Pillars" Approach

Agnese Augello, Ignazio Infantino, Giovanni Pilato, Gianpaolo Vitale
2021 Future Internet  
This new augmented environment can focus on the visitor, analyze his activity and behavior, and make his experience more satisfying, fulfilling and unique.  ...  It is discussed how a cultural site can be enriched, extended and transformed into an intelligent multimodal environment in this perspective.  ...  Therefore, in our vision, an artificial entity's behavior, playing the role of a guardian/guide, should be driven by the desire of interacting with the museum visitors.  ... 
doi:10.3390/fi13040092 fatcat:7g5zjidvdbhyxgubkrtkclouga

A survey of socially interactive robots

Terrence Fong, Illah Nourbakhsh, Kerstin Dautenhahn
2003 Robotics and Autonomous Systems  
We then present a taxonomy of design methods and system components used to build socially interactive robots.  ...  Deneubourg and his collaborators pioneered the first experiments on stigmergy in simulated and physical "ant-like robots" [75, 13] in the early 1990's. Since then, numerous researchers have developed  ...  Most current systems use Hidden Markov Models to stochastically determine the most probable match. An excellent introduction to speech recognition is [191] .  ... 
doi:10.1016/s0921-8890(02)00372-x fatcat:iwjtltmh65cb3icwsy2svbls54

Core Challenges of Social Robot Navigation: A Survey [article]

Christoforos Mavrogiannis, Francesca Baldini, Allan Wang, Dapeng Zhao, Pete Trautman, Aaron Steinfeld, Jean Oh
2021 arXiv   pre-print
Robot navigation in crowded public spaces is a complex task that requires addressing a variety of engineering and human factors challenges.  ...  In this survey article, we organize existing challenges into a set of categories related to broader open problems in motion planning, behavior design, and evaluation methodologies.  ...  Army Ground Vehicle Systems Center & Software Engineering Institute at Carnegie Mellon University (PWP 6-652A4 DDCD GVSC), and the Air Force Office of Scientific Research (AFOSR FA2386-17-1-4660).  ... 
arXiv:2103.05668v2 fatcat:qc2mr4ssxbahxj5p4xzqexnhye

Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces [article]

Matei Mancas, Christian Frisson, Joëlle Tilmanne, Nicolas d'Alessandro, Petr Barborka, Furkan Bayansar, Francisco Bernard, Rebecca Fiebrink, Alexis Heloir, Edgar Hemery, Sohaib Laraba, Alexis Moinet (+58 others)
2018 arXiv   pre-print
During the four weeks, students and researchers from all over the world came together in the Numediart Institute of the University of Mons to work on eight selected projects structured around intelligent  ...  kindness, their local assistance regarding logistics, their nice schedule of social events.The authors would also thanks to Radhwan and Ambroise for their sympathy and for sharing good and bad moments with  ...  low(T ) = k∈K α k · F low k (T ) (23) HMM Decoding with HTK Description In previous works, we detailed how it is possible to implement a gesture decoding system based on Hidden Markov Models (HMMs)  ... 
arXiv:1801.06349v1 fatcat:qauytivdq5axxis2xlknp3r2ne

Review: Development and Technical Design of Tangible User Interfaces in Wide-Field Areas of Application

Alice Krestanova, Martin Cerny, Martin Augustynek
2021 Sensors  
, music and arts, modeling of 3D objects, modeling in architecture, literature and storytelling, adjustable TUI solutions, and commercial TUI smart toys.  ...  Based on the review, the technical concept was divided into two main approaches: the sensory technical concept and technology based on a computer vision algorithm.  ...  Hidden Markov Models were implemented on a SMCube with a TUI.  ... 
doi:10.3390/s21134258 pmid:34206398 fatcat:4ffcndxzoncudetoyxjcqxz4hy

Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions [article]

Hrishav Bakul Barua, Theint Haythi Mg, Pradip Pramanick, Chayan Sarkar
2021 arXiv   pre-print
In this article, we investigate one such social behavior for collocated robots. Imagine a group of people is interacting with each other and we want to join the group.  ...  We discuss certain open challenges and limitations in current literature along with possible future research directions based on this framework.  ...  facilities [71] , a study of robot gaze behaviors in group conversations [143] , velocity models (while walking) [84] , SVM with motion features [108] , Hidden Markov Model (HMM) [49] . 2013 Spatial  ... 
arXiv:2108.06181v2 fatcat:walfqfi55fe4fja3imr4qu6asu

Data Musicalization

Aurora Tulilaulu, Matti Nelimarkka, Joonas Paalasmaa, Daniel Johnson, Dan Ventura, Petri Myllys, Hannu Toivonen
2018 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
sleep data, one that musicalizes on-line chat conversations to provide a perceptualization of liveliness of a discussion, and one that uses musicalization in a game-like mobile application that allows  ...  This paper is written as a tutorial for readers interested in data musicalization.  ...  matrix of a hidden Markov model.  ... 
doi:10.1145/3184742 fatcat:lf4rj3kyazguhkk5se6wqwfmxy

A Metaverse: taxonomy, components, applications, and open challenges

Sang-Min Park, Young-Gab Kim
2022 IEEE Access  
With the technological development of deep learning-based high-precision recognition models and natural generation models, Metaverse is being strengthened with various factors, from mobile-based always-on  ...  Furthermore, we describe essential methods based on three components and techniques to Metaverse's representative Ready Player One, Roblox, and Facebook research in the domain of films, games, and studies  ...  [320] proposed Hidden-Parameter Markov Decision Processes (HiP-MDPs), an explicit modeling method for this structure, to improve sample efficiency in multitasking settings.  ... 
doi:10.1109/access.2021.3140175 fatcat:fnraeaz74vh33knfvhzrynesli

Measuring what matters most: choice-based assessments for the digital age

2014 ChoiceReviews  
No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the  ...  Additionally, we wish to acknowledge their infinite patience when listening to the authors endlessly trying out pithy sentences in meetings.  ...  The development of this book and its ideas was supported by a grant from the MacArthur Foundation to James Gee, and then to the first author.  ... 
doi:10.5860/choice.51-4579 fatcat:hffx4kffwvepldnweijkaktbja

Collaborating with an Autonomous Agent to Generate Affective Music

Fabio Morreale, Antonella De Angeli
2017 Computers in Entertainment  
Robin is taught a series of basic compositional Q1 Q2 Q3 9 rules of tonal music, which are used to create original compositions in Western classical-like music.  ...  Collaborating with an autonomous agent to generate affective 23 music.  ...  A music database of 300 excerpts trained a Hidden Markov Model (HMM) that 207 feeds the system with basic statistics related to chord progressions.  ... 
doi:10.1145/2967508 fatcat:4kaljkoprvcc5nqggw5fq6gbci

Robot Controllers for Highly Dynamic Environments with Real-time Constraints

Alexander Ferrein
2010 Künstliche Intelligenz  
In Section 3.2 we present another Markov model, the hidden Markov model. Unlike in Section 3.1 we do not go into the theory of Hidden Markov models but show Bayes filtering as a solution technique.  ...  The robot Rhino was operating over several days in the Deutsche Museum, Bonn, as a museum tour-guide. It operated safely in the very crowded museum, interacting with visitors.  ... 
doi:10.1007/s13218-010-0041-3 fatcat:ltrvy7pynjbs7joc5exp2khgii

Reinforcement Learning Approaches in Social Robotics [article]

Neziha Akalin, Amy Loutfi
2021 arXiv   pre-print
Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior.  ...  Since interaction is a key component in both reinforcement learning and social robotics, it can be a well-suited approach for real-world interactions with physically embodied social robots.  ...  The human attention was estimated with a trained Hidden Markov Model (HMM) from human social cues (face direction, body direction, and voice detection).  ... 
arXiv:2009.09689v4 fatcat:6vvotvwfhjh5zbsgzmplj5wq7q
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