Improving player experience in Computer Games by using players' behavior analysis and linguistic descriptions

Rubio-Manzano, Clemente; Triviño, Gracián

doi:10.1016/j.ijhcs.2016.07.002

Cited by 16 publications

(10 citation statements)

References 20 publications

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“…On the other hand, the field of the Linguistic Description of Complex Phenomena (LDCP) theory [46] aims to automatically generate linguistic reports by using a conceptual framework based on CTP for the automatic generation of reports using natural language about a well-defined phenomenon. There are several real-life applications based on the LDCP framework, such as [10,17,36]. Finally, NLG systems [37] aims to transform databases in reports in natural language.…”

Section: Data-to-textmentioning

confidence: 99%

Explainable Hopfield Neural Networks Using an Automatic Video-Generation System

et al. 2021

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Hopfield Neural Networks (HNNs) are recurrent neural networks used to implement associative memory. They can be applied to pattern recognition, optimization, or image segmentation. However, sometimes it is not easy to provide the users with good explanations about the results obtained with them due to mainly the large number of changes in the state of neurons (and their weights) produced during a problem of machine learning. There are currently limited techniques to visualize, verbalize, or abstract HNNs. This paper outlines how we can construct automatic video-generation systems to explain its execution. This work constitutes a novel approach to obtain explainable artificial intelligence systems in general and HNNs in particular building on the theory of data-to-text systems and software visualization approaches. We present a complete methodology to build these kinds of systems. Software architecture is also designed, implemented, and tested. Technical details about the implementation are also detailed and explained. We apply our approach to creating a complete explainer video about the execution of HNNs on a small recognition problem. Finally, several aspects of the videos generated are evaluated (quality, content, motivation and design/presentation).

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Section: Data-to-textmentioning

confidence: 99%

Explainable Hopfield Neural Networks Using an Automatic Video-Generation System

et al. 2021

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“…In [31] linguistic descriptions were used for improving player experience in a computer game called YADY (Your actions define you). There are remarkable differences with respect to the present work.…”

Section: Impossibility (Or Very Difficult) Of Performing Individual P...mentioning

confidence: 99%

“…There are remarkable differences with respect to the present work. While in [31] the feedback aims to improve player experience, now the feedback aims to support the teaching-learning process.…”

Section: Impossibility (Or Very Difficult) Of Performing Individual P...mentioning

confidence: 99%

“…Then, as LDD allows us to automatically generate a human behavior player profile [31], algorithm behavior profile can be obtained. By using this idea, the students can check if the designed computer game bot has a similar behavior than the human player one.…”

Section: Project-based Learning In Artificial Intelligencementioning

confidence: 99%

“…The computational perception presented in [31] is enhanced for the problem previously presented in section 2.3. In this case, additional variables must be considered and hence the computational perceptions network must be enhanced, rules and templates must be also updated for these new requirements.…”

Section: Computational Perception Network Modulementioning

confidence: 99%

See 2 more Smart Citations

How linguistic descriptions of data can help to the teaching-learning process in higher education, case of study: artificial intelligence

Rubio-Manzano,

Senoceain

2017

Preprint

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Artificial Intelligence is a central topic in the computer science curriculum.From the year 2011 a project-based learning methodology based on computer games has been designed and implemented into the intelligence artificial course at the University of the Bío-Bío. The project aims to develop software-controlled agents (bots) which are programmed by using heuristic algorithms seen during the course. This methodology allows us to obtain good learning results, however several challenges have been founded during its implementation.In this paper we show how linguistic descriptions of data can help to provide students and teachers with technical and personalized feedback about the learned algorithms. Algorithm behavior profile and a new Turing test for computer games bots based on linguistic modelling of complex phenomena are also proposed in order to deal with such challenges.In order to show and explore the possibilities of this new technology, a

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