Evaluation of Affective Intervention Process in Development of Affect-aware Educational Video Games

Szwoch, Mariusz

doi:10.15439/2016f529

Cited by 5 publications

(3 citation statements)

References 15 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Extreme arousal levels, both high and low, are associated with higher location variance and transition time, which means more frequent movement as compared to the neutral state. In the case of high arousal, the patterns of movement locations, measured with circadian movement (6), are more regular [83].…”

Section: Feature Evaluationmentioning

confidence: 99%

“…In recent years, there has been increasing interest in the automatic recognition of emotions and taking into account the emotional state of a person in various applications in many fields. Solutions implementing the automated recognition of emotions are used, among others, in marketing, systems monitoring driver tiredness, e-learning, healthcare, education [6], entertainment [7,8], software engineering [9,10], etc. Many different approaches to emotion recognition have been developed, which use more and more advanced algorithms achieving increasing effectiveness.…”

Section: Emotion Recognitionmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

Kołakowska

Szwoch

2020

Sensors

Self Cite

View full text Add to dashboard Cite

In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones, the variety of their built-in sensors, as well as the availability of cloud computing services have made them an environment in which the task of recognising emotions can be performed at least as effectively. This is possible and particularly important due to the fact that smartphones and other mobile devices have become the main computer devices used by most people. This article provides a systematic overview of publications from the last 10 years related to emotion recognition methods using smartphone sensors. The characteristics of the most important sensors in this respect are presented, and the methods applied to extract informative features on the basis of data read from these input channels. Then, various machine learning approaches implemented to recognise emotional states are described.

show abstract

Section: Feature Evaluationmentioning

confidence: 99%

Section: Emotion Recognitionmentioning

confidence: 99%

A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

Kołakowska

Szwoch

2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Research has also shown that children who play educational video games could improve their skills more easily compared to those who did not play educational video games [14].…”

Section: Background On Serious Gamesmentioning

confidence: 99%

A serious game for children with speech disorders and hearing problems

Nasiri

Shirmohammadi

Rashed

2017

2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH)

View full text Add to dashboard Cite

Electronics and Computer Engineering"Creativity, problem solving, critical and analytical thinking, decision making, risk taking, all found in game-based learning.". Mark Grundel A Serious Game for Children with Speech Disorders and Hearing ProblemsNahid Nasiri AbstractSpeech impediment affecting children with hearing difficulties and speech disorders requires speech therapy and much practice to overcome. In fact, speech therapy via serious games gives an opportunity to children with speech disorders and hearing problems to overcome their problems. As far as children are more inclined to play games, so we intend to learn them by entertainments like serious games. In this thesis, we have designed and implemented a serious game that can be used both as a therapy and as a tool to measure the performance of children with speech impediments in which children will learn to speak specific words that they are expected to know before the age of 7. And then we will teach them how to make sentences. The game consists of three steps. The first step provides information for parents or therapists to decide if their child needs speech therapy or not. In the second step, the child starts to learn specific words while playing the game. The third step aims to measure the performance of the child and evaluate how much the child has learned at the end of the game. The game has an avatar which can be controlled by the child through speech, with the objective of moving the avatar around the environment to earn coins. The avatar is controlled by both voice commands such as Jump, Ahead, Back, Left, Right, and arrow keys of the keyboard. The child will be guided by an arrow during the game instead of getting help from a therapist or a teacher to guide the child to the next goal. This allows the child to practice longer hours, compared to clinical approaches under the supervision of a therapist, which are time-limited. Our preliminary performance measurements indicate an improvement of 40% for children who play our game at least 5 times and a specific period of time.

show abstract

Using Affective Computing to Automatically Adapt Serious Games for Rehabilitation

Aranha

Silva

Chaim

et al. 2017

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)

View full text Add to dashboard Cite

Evaluation of Affective Intervention Process in Development of Affect-aware Educational Video Games

Cited by 5 publications

References 15 publications

A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

A serious game for children with speech disorders and hearing problems

Using Affective Computing to Automatically Adapt Serious Games for Rehabilitation

Contact Info

Product

Resources

About