Graphical models for social behavior modeling in face-to face interaction

International audienceThe goal of this paper is to model the coverbal behavior of a subject involved in face-to-face social interactions. For this end, we present a multimodal behavioral model based on a Dynamic Bayesian Network (DBN). The model was inferred from multimodal data of interacting dyads in a specific scenario designed to foster mutual attention and multimodal deixis of objects and places in a collaborative task. The challenge for this behavioral model is to generate coverbal actions (gaze, hand gestures) for the subject given his verbal productions, the current phase of the interaction and the perceived actions of the partner. In our work, the structure of the DBN was learned from data, which revealed an interesting causality graph describing precisely how verbal and coverbal human behaviors are coordinated during the studied interactions. Using this structure, DBN exhibits better performances compared to classical baseline models such as Hidden Markov Models (HMMs) and Hidden Semi-Markov Models (HSMMs). We outperform the baseline in both measures of performance, i.e. interaction unit recognition and behavior generation. DBN also reproduces more faithfully the coordination patterns between modalities observed in ground truth compared to the baseline models

Training Effects of Adaptive Emotive Responses From Animated Agents in Simulated Environments

Humans are distinct from machines in their capacity to emote, stimulate, and express emotions. Because emotions play such an important role in human interactions, human-like agents used in pedagogical roles for simulation-based training should properly reflect emotions. Currently, research concerning the development of this type of agent focuses on basic agent interface characteristics, as well as character building qualities. However, human-like agents should provide emotion-like qualities that are clearly expressed, properly synchronized, and that simulate complex, real-time interactions through adaptive emotion systems. The research conducted for this dissertation was a quantitative investigation using 3 (within) x 2 (between) x 3 (within) factorial design. A total of 56 paid participants consented to complete the study. Independent variables included emotion intensity (i.e., low, moderate, and high emotion), levels of expertise (novice participant versus experienced participant), and number of trials. Dependent measures included visual attention, emotional response towards the animated agents, simulation performance score, and learners\u27 perception of the pedagogical agent persona while participants interacted with a pain assessment and management simulation. While no relationships were indicated between the levels of emotion intensity portrayed by the animated agents and the participants\u27 visual attention, emotional response towards the animated agent, and simulation performance score, there were significant relationships between the level of expertise of the participant and the visual attention, emotional responses, and performance outcomes. The results indicated that nursing students had higher visual attention during their interaction with the animated agents. Additionally, nursing students expressed more neutral facial expression whereas experienced nurses expressed more emotional facial expressions towards the animated agents. The results of the simulation performance scores indicated that nursing students obtained higher performance scores in the pain assessment and management task than experienced nurses. Both groups of participants had a positive perception of the animated agents persona

As cinemáticas e narrativas de jogos digitais: implicações para o design de jogos

Game cinematics integrating filming techniques, cutscenes, and animations are likely to have a pivotal role in the player experience, emotional attachment, and relatedness to the game narrative content. In recent years, the avoidance of cuts to generate a seamless and connected game experience has challenged older patterns on storytelling in games and find new ways of intertwining gameplay with the narrative. However, a one-size-fits-all strategy may not be applied when considering different storytelling purposes, structures, and language used in diversified game genres. The purpose of this research is to examine the contributions of cinematics to affect game story comprehension, especially in young adults. A multi-stage development research method is applied, encompassing the following activities: (1) identification of requirements to develop game cinematics based on the literature review and interviews with 16 scholars and industry professionals in Game UX, and cinematic development; (2) Development of a Game Cinematics experiment for the game Mutation Madness, using first- and third- perspectives; and a (3) Comparative evaluation of game cinematics in terms of experience and narrative comprehension. The cinematics developed are tested with 46 young adults to assess the effect of the Point Of View (POV) camera on visual attention and story comprehension in Mutation Madness, using an eye- tracking experiment. The results suggest that third- perspective in game cinematics constitute omniscient knowledge of the story, evoking the sense of time and focusing on the story agents, while first- perspective visually guides the player to the game events happening in the time of gameplay. This research contributes to the Communication Sciences and Technologies field by presenting a set of best practices developing game cinematics.As cinemáticas de jogos que integram técnicas de filmagem, cutscenes, e animações, tendem a ter um papel central na experiência do jogador, envolvimento emocional, e relação com a narrativa. Nos últimos anos, os padrões mais antigos inerentes ao processo de contar histórias nos jogos têm sido desafiados pela ausência de cortes e interrupções na experiência, de modo a garantir a interconexão e o entrelaçar da jogabilidade com a narrativa. No entanto, a adoção de uma estratégia de dimensão única pode não atender a diferentes propósitos da narrativa, estruturas e linguagem utilizadas em diferentes géneros de jogos. O objetivo desta investigação é compreender o modo como as cinemáticas podem afetar a compreensão de histórias de jogos, especialmente em jovens adultos. O método de investigação de desenvolvimento é aplicado, subdividido nas seguintes etapas: (1) Identificação de requisitos para desenvolver cinemáticas de jogos com base na revisão da literatura e entrevista a 16 académicos e profissionais da indústria em experiência de jogo, e desenvolvimento de cinemáticas; (2) Desenvolvimento de cinemáticas do jogo Mutation Madness, com recurso à primeira e terceira perspetiva; e (3) Avaliação comparativa das cinemáticas de jogo em termos de experiência e compreensão da narrativa. As cinemáticas desenvolvidas são testadas por 46 jovens adultos, recorrendo à metodologia eye-tracking, para avaliar o efeito da perspetiva da câmara [Point Of View (POV)] na atenção visual e na compreensão da narrativa do jogo Mutation Madness. Os resultados sugerem que a cinemática em que é adotada a terceira perspetiva no jogo proposto contribui para um conhecimento omnisciente da história, evocando o sentido do tempo e concentrando-se nos agentes da história, enquanto a primeira perspetiva orienta visualmente o jogador para os eventos do jogo que acontecem no tempo da jogabilidade. Esta investigação contribui para a área das Ciências da Tecnologia da Comunicação ao apresentar um conjunto de melhores práticas para desenvolver as cinemáticas nos jogos.Mestrado em Comunicação Multimédi

Agents for educational games and simulations

This book consists mainly of revised papers that were presented at the Agents for Educational Games and Simulation (AEGS) workshop held on May 2, 2011, as part of the Autonomous Agents and MultiAgent Systems (AAMAS) conference in Taipei, Taiwan. The 12 full papers presented were carefully reviewed and selected from various submissions. The papers are organized topical sections on middleware applications, dialogues and learning, adaption and convergence, and agent applications