Toward a model of computational attention based on expressive behavior: applications to cultural heritage scenarios

Our project goals consisted in the development of attention-based analysis of human expressive behavior and the implementation of real-time algorithm in EyesWeb XMI in order to improve naturalness of human-computer interaction and context-based monitoring of human behavior. To this aim, perceptual-model that mimic human attentional processes was developed for expressivity analysis and modeled by entropy. Museum scenarios were selected as an ecological test-bed to elaborate three experiments that focus on visitor profiling and visitors flow regulation

Towards a multi-layer architecture for multi-modal rendering of expressive actions

International audienceExpressive content has multiple facets that can be conveyed by music, gesture, actions. Different application scenarios can require different metaphors for expressiveness control. In order to meet the requirements for flexible representation, we propose a multi-layer architecture structured into three main levels of abstraction. At the top (user level) there is a semantic description, which is adapted to specific user requirements and conceptualization. At the other end are low-level features that describe parameters strictly related to the rendering model. In between these two extremes, we propose an intermediate layer that provides a description shared by the various high-level representations on one side, and that can be instantiated to the various low-level rendering models on the other side. In order to provide a common representation of different expressive semantics and different modalities, we propose a physically-inspired description specifically suited for expressive actions

Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review

Research on affective communication for socially assistive robots has been conducted to enable physical robots to perceive, express, and respond emotionally. However, the use of affective computing in social robots has been limited, especially when social robots are designed for children, and especially those with autism spectrum disorder (ASD). Social robots are based on cognitiveaffective models, which allow them to communicate with people following social behaviors and rules. However, interactions between a child and a robot may change or be different compared to those with an adult or when the child has an emotional deficit. In this study, we systematically reviewed studies related to computational models of emotions for children with ASD. We used the Scopus, WoS, Springer, and IEEE-Xplore databases to answer different research questions related to the definition, interaction, and design of computational models supported by theoretical psychology approaches from 1997 to 2021. Our review found 46 articles; not all the studies considered children or those with ASD.This research was funded by VRIEA-PUCV, grant number 039.358/202

From expressive gesture to sound: the development of an embodied mapping trajectory inside a musical interface

This paper contributes to the development of a multimodal, musical tool that extends the natural action range of the human body to communicate expressiveness into the virtual music domain. The core of this musical tool consists of a low cost, highly functional computational model developed upon the Max/MSP platform that (1) captures real-time movement of the human body into a 3D coordinate system on the basis of the orientation output of any type of inertial sensor system that is OSC-compatible, (2) extract low-level movement features that specify the amount of contraction/expansion as a measure of how a subject uses the surrounding space, (3) recognizes these movement features as being expressive gestures, and (4) creates a mapping trajectory between these expressive gestures and the sound synthesis process of adding harmonic related voices on an in origin monophonic voice. The concern for a user-oriented and intuitive mapping strategy was thereby of central importance. This was achieved by conducting an empirical experiment based on theoretical concepts from the embodied music cognition paradigm. Based on empirical evidence, this paper proposes a mapping trajectory that facilitates the interaction between a musician and his instrument, the artistic collaboration between (multimedia) artists and the communication of expressiveness in a social, musical context

Staging Transformations for Multimodal Web Interaction Management

Multimodal interfaces are becoming increasingly ubiquitous with the advent of mobile devices, accessibility considerations, and novel software technologies that combine diverse interaction media. In addition to improving access and delivery capabilities, such interfaces enable flexible and personalized dialogs with websites, much like a conversation between humans. In this paper, we present a software framework for multimodal web interaction management that supports mixed-initiative dialogs between users and websites. A mixed-initiative dialog is one where the user and the website take turns changing the flow of interaction. The framework supports the functional specification and realization of such dialogs using staging transformations -- a theory for representing and reasoning about dialogs based on partial input. It supports multiple interaction interfaces, and offers sessioning, caching, and co-ordination functions through the use of an interaction manager. Two case studies are presented to illustrate the promise of this approach.Comment: Describes framework and software architecture for multimodal web interaction managemen

An information assistant system for the prevention of tunnel vision in crisis management

In the crisis management environment, tunnel vision is a set of bias in decision makers’ cognitive process which often leads to incorrect understanding of the real crisis situation, biased perception of information, and improper decisions. The tunnel vision phenomenon is a consequence of both the challenges in the task and the natural limitation in a human being’s cognitive process. An information assistant system is proposed with the purpose of preventing tunnel vision. The system serves as a platform for monitoring the on-going crisis event. All information goes through the system before arrives at the user. The system enhances the data quality, reduces the data quantity and presents the crisis information in a manner that prevents or repairs the user’s cognitive overload. While working with such a system, the users (crisis managers) are expected to be more likely to stay aware of the actual situation, stay open minded to possibilities, and make proper decisions