Emotion in Human-Computer Interaction

Peter, Christian; Urban, Bodo

doi:10.1007/978-1-4471-2804-5_14

Cited by 28 publications

(22 citation statements)

References 31 publications

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“…We consider that it is possible to generate an automatic method that evaluates these three aspects. The first aspect is easily evaluated through the student's achievements, the second aspect requires to know the emotional state of the player [6] or it can be inferred by the analysis of the data usage [7]. The proposed approach is an effort towards a direct evaluation of the material quality.…”

Section: Related Workmentioning

confidence: 99%

Entropy of Eye Fixations: a Tool for Evaluation of Learning Objects

Lara–Alvarez¹,

Mitre‐Hernandez²,

Alvarado-Hernandez³

2016

RCS

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Learning objects (LOs) are important information resources that support traditional learning methods. To evaluate the impact, effectiveness, and usefulness of learning objects it is necessary a theoretically, reliable, and valid evaluation tool. This paper presents a metric to compare the design of LOs, it uses the information provided by visual fixations measured from a small focus group. We conducted an experiment with children of elementary school (n=23). Results showed that images with higher values of the proposed metric were faster to read (Mean = 0.629 min/image) than those images of LO selected randomly (Mean = 0.782 min/image). The metric is useful to optimize the fluency, this is an important step through obtain a fully automated tool to evaluate LOs.

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Section: Related Workmentioning

confidence: 99%

Entropy of Eye Fixations: a Tool for Evaluation of Learning Objects

Lara–Alvarez¹,

Mitre‐Hernandez²,

Alvarado-Hernandez³

2016

RCS

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“…Os aspectos emocionais vêm sendo estudados há muito tempo na área da Psicologia (LICHTENSTEIN et al, 2008). No entanto, somente nos últimos anos, houve um aumento significativo de pesquisas sobre o tema na área de Computação Afetiva (KLEIN; MOON; PICARD, 2002;BAILENSON et al, 2008;GONÇALVES et al, 2011;ZHOU et al, 2011;PETER;URBAN, 2012;LIKAMWA et al, 2013). Uma das divisões básicas da Computação Afetiva é a Interação Humano-Computador (IHC) (PICARD, 1997;PICARD, 2004), a área que estuda como os dispositivos computacionais podem reconhecer, modelar e responder as emoções humanas (dentre outros aspectos) e expressá-las mediante uma interface/interação computacional (GONÇALVES et al, 2011).…”

Section: Contexto E Motivaçãounclassified

FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música

Mano¹

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“…Objetivos 27 os requisitos do maior número possível de indivíduos (GONÇALVES; UEYAMA, 2012; AL-VES, 2016). Devido as características de identificação de aspectos comportamentais, técnicas de Aprendizado de Máquina (Machine Learning (ML)), têm sido amplamente investigadas, tanto para a classificação de aspectos físicos (AUGUSTO et al, 2007;OMATU et al, 2009;CARVALHO et al, 2010) quanto para aspectos emocionais (KHANCHANDANI; HUSSAIN, 2009;ZHOU et al, 2011;PETER;URBAN, 2012;MANO et al, 2016a;, sendo tratadas como um problema de classificação comumente supervisionado. Contudo, recentemente, estudos têm explorado a abordagem multimodal, isto é, fusão de informações de diferentes modalidades (MANO et al, 2016b;PORIA et al, 2016;PORIA et al, 2017;GONÇALVES et al, 2017a), relatando bons resultados dessa técnica aplicada ao desafio de classificação de aspectos comportamentais.…”

Section: Lista De Ilustraçõesunclassified

Explorando Internet das Coisas e Inteligência Artificial no contexto de Saúde em Casas Inteligentes: uma abordagem física e emocional

Mano¹

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Due to the increase in the elderly population or with physical/mental limitations it is possible to observe the growth of studies in the field of Internet of Things with the objective of monitoring health and assisting in the management and improvement of the quality of life of this part of the population. In this sense, the Internet of Things approach applied in medical environments and smart homes aims to provide connectivity between the patient and the environment around them, providing mechanisms to aid in diagnosis and prevention of accidents and/or diseases. In this context the opportunity arises to explore computational systems to identify the physical and emotional state, in real time, of individuals with some limitation to monitor health; for example, identifying the behavior of the user's routine and issuing alerts to family members and/or medical staff about some abnormal event or identifying evidence of emotional disturbances. Also, based on Artificial Intelligence, it is possible for computational systems to "learn" and adapt to the context they are in, for example learning and adapting the amount of exercises and/or emotional state of the user in certain situations, combining concepts both of Internet of Things and of Artificial Intelligence. Thus, this project aims to develop and evaluate a model that can: i) identify the physical and emotional state of the user; ii) provide a mechanism that can intelligently monitor the daily activities of the user and; iii) explore the data integration approach with the use of multiple IoT sensors for better interaction between computing devices in the Health Smart Homes environment.

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Emotion in Human-Computer Interaction

Cited by 28 publications

References 31 publications

Entropy of Eye Fixations: a Tool for Evaluation of Learning Objects

Entropy of Eye Fixations: a Tool for Evaluation of Learning Objects

FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música

Explorando Internet das Coisas e Inteligência Artificial no contexto de Saúde em Casas Inteligentes: uma abordagem física e emocional

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