Using Affective Computing to Automatically Adapt Serious Games for Rehabilitation

Aranha, Renan Vinícius; Silva, Leonardo Souza; Chaim, Marcos Lordello; Nunes, Fátima L. S.

doi:10.1109/cbms.2017.89

Cited by 13 publications

(8 citation statements)

References 8 publications

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“…Aiming to provide greater engagement in serious games, some researchers have investigated the automatic adaptation of these applications based on the user's emotional state. In [4], an Affective Computing framework was proposed for the automatic adaptation of serious games aimed to aid motor rehabilitation processes.…”

Section: Serious Gamesmentioning

confidence: 99%

Virtual Reality, Augmented Reality and Beyond: Laboratory of Computer Applications for Health Care at University of São Paulo

Nunes¹,

Aranha

Testa

et al. 2020

Revista CI

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The Laboratory of Computer Applications for Health Care at University of São Paulo develop multidisciplinary research involving Computer Science areas and other knowledge fields such as Physiotherapy, Psychiatry, Radiology, and Cardiology. Most studies use concepts besides Computer Science, by aggregating knowledge to solve real problems. In this paper we present the main projects in Virtual Reality and Augmented Reality areas, highlighting serious games, computer-aided diagnosis and therapy, simulation and training. Besides the social and scientific impact inherent to the type of the developed research, some systems are available to health professionals in order to allow technology transfer and consequent technological and economic impact in daily activities of health tasks.

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Section: Serious Gamesmentioning

confidence: 99%

Virtual Reality, Augmented Reality and Beyond: Laboratory of Computer Applications for Health Care at University of São Paulo

Nunes¹,

Aranha

Testa

et al. 2020

Revista CI

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“…This is especially the case when the task's difficulty matches the severity of impairment of the player [35], which favors a person-centered approach. While it is possible to reduce the complexity of this system by including the therapist/trainer as the human-in-the-loop as shown by Aranha et al [33], this is not always feasible in practice due to limited availability of these professionals. Finally, the link between perceived challenge from engagement and learning outcomes are well established in the literature [34].…”

Section: Related Workmentioning

confidence: 99%

Real-time stealth intervention for motor learning using player flow-state

Tadayon

Amresh

McDaniel

et al. 2018

2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH)

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We present a novel approach to real-time adaptation in serious games for at-home motor learning. Our approach assesses and responds to the "flow-state" of players by tracking and classifying facial emotions in real-time using the Kinect camera. Three different approaches for stealth assessment and adaptation using performance and flow-state data are defined, along with a case-study evaluation of these approaches based on their effectiveness at maintaining positive affective interaction in a subject.

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“…Neste contexto, uma abordagem que apresenta-se como promissora para propiciar uma melhor experiência de uso e, consequentemente, promover a manutenção do engajamento do usuário consiste na adaptação automática de jogos sérios conforme as características do usuário. O framework EasyAffecta, proposto por Aranha et al [3], propicia a adaptação automática de jogos sérios para reabilitação motora conforme o estado emocional do usuário. A concepção do framework prevê benefícios a pacientes, fisioterapeutas e programadores.…”

Section: Introductionunclassified

Um framework para a adaptação de jogos sérios com Computação Afetiva e Computação de Personalidade

Aranha¹,

Nunes²

2020

Anais Estendidos Do Simpósio De Realidade Virtual E Aumentada (SVR Estendido 2020)

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Atividades de treinamento, ensino-aprendizagem ou de reabilitação motora podem envolver grandes desafios para os usuários. Com o intuito de tornar tais procedimentos mais atrativos e envolventes, pesquisadores têm investigado o desenvolvimento de jogos sérios, cujos objetivos vão além do entretenimento, podendo envolver aquisição de conhecimento ou habilidades. Dentre as abordagens aplicáveis a esta finalidade, destaca-se a adaptação automática do jogo conforme as características do jogador. Neste contexto, este projeto propõe o desenvolvimento de um framework que possibilite o desenvolvimento de jogos sérios automaticamente adaptáveis, conforme o estado emocional e os traços de personalidade do usuário. Espera-se que a abordagem proposta não apenas auxilie o desenvolvimento de jogos desta natureza, como também possibilite a manutenção do nível de engajamento do jogador.

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Using Affective Computing to Automatically Adapt Serious Games for Rehabilitation

Cited by 13 publications

References 8 publications

Virtual Reality, Augmented Reality and Beyond: Laboratory of Computer Applications for Health Care at University of São Paulo

Virtual Reality, Augmented Reality and Beyond: Laboratory of Computer Applications for Health Care at University of São Paulo

Real-time stealth intervention for motor learning using player flow-state

Um framework para a adaptação de jogos sérios com Computação Afetiva e Computação de Personalidade

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