Interactive Digital Entertainment Research Articles

Sensor based interactive digital entertainment and gamified training to alleviate basketball player fatigue

In recent years, due to the increasing number of basketball games and training activities, basketball players often face the problem of fatigue and injury. This study aims to develop an interactive digital entertainment and gamification training method to provide basketball players with more efficient training methods and enhance their training fun. Sensors can be installed in various key parts of the athlete’s body, through the use of high-precision sensor equipment, real-time acquisition of athlete action data, the use of machine learning and data mining technology, real-time analysis and modeling of sensor data to extract key information and movement patterns. Using gamified training theory to design interactive digital entertainment system, develop a series of training scenarios and gamified tasks for different technical elements, combine sensor data and motion analysis results, and provide athletes with personalized training plans and feedback mechanisms to help them improve their technical level. Through an interactive digital entertainment system, basketball players can train and compete in a virtual environment. They can complete various training tasks by interacting with the system, which will give real-time evaluation and guidance based on the athlete’s performance to help them correct mistakes, improve technique and improve training results.

Preface

Proceedings of the Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2022) preface by Stephen G. Ware and Markus Eger

Predicting User Physiological Response for Interactive Environments: An Inductive Approach

Affective reasoning holds significant potential for interactive digital entertainment, education, and training. Incorporating affective reasoning into the decision-making capabilities of interactive environments could enable them to create customized experiences that are dynamically tailored to individual users' ever changing levels of engagement, interest, and emotional state. Because physiological responses are directly triggered by changes in affect, biofeedback data such as heart rate and galvanic skin response can be used to infer affective changes. However, biofeedback hardware is intrusive and cumbersome in deployed applications. This paper proposes an inductive framework for automatically learning models of users’ physiological response from observations of user behaviors in interactive environments. These models can be used at runtime without biofeedback hardware to continuously predict users' physiological state directly from situational context in the interactive environment. Empirical studies with induced decision tree, naïve Bayes, and Bayesian Network physiological response models suggest that they may be sufficiently accurate for practical use.

Organizers

List of organizers of the Musical Metacreation workshop held at the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

Preface

Welcome to the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’12). Computer games are a staple of today’s popular culture, and have been called the preemi- nent form of entertainment of the 21st century. The computer game industry has become a multibillion- dollar commercial enterprise. Game system require- ments are an important driver of hardware and soft- ware innovation in the computer industry.

Organizers

List of organizers of the AI in the Game Design Process workshop held at the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

Organizers

List of organizers of the Intelligent Narrative Technologies workshop held at the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

Invited Talks

Abstracts of the invited talks presented at the Ninth Artificial Intelligence and Interactive Digital Entertainment Conference.

AIIDE-13 Organization

List of organizers of the Ninth Artificial Intelligence and Interactive Digital Entertainment Conference.

Organizers

List of organizers of the AIIDE-13 Doctoral Consortium held during the Ninth Artificial Intelligence and Interactive Digital Entertainment Conference.

Narrative Extraction, Processing and Generation for Interactive Fiction and Computer Games

Often, computer games require meaningful stories and complex worlds in order to successfully engage players. Developing a high-quality story and rich characters can be one of the hardest tasks in the game development process. Narrative is a key element in building game worlds for interactive digital entertainment. I am particularly interested in computational narrative algorithms that can analyze stories, model narrative, and generate plots to be used in various forms and game domains.

Sponsors

List of sponsors of the Ninth Artificial Intelligence and Interactive Digital Entertainment Conference.

Sponsors

List of sponsors of Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

Organization

List of organizers of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

Towards Computational Co-Creation in Modding Communities

Large online repositories of player-generated game content are a popular component of modern interactive digital entertainment. These add-ons are typically referred to as "mods", and the communities of co-creators that coalesce around them "modding communities". We propose a method to augment these communities with computational agents that encourage creative submissions, which we define as those that are both unexpected and valuable. We propose to combine player experience modelling, computational creativity evaluation and mixed-initiative co-creation to drive modding communities towards more fun and diverse gaming experiences.

The Current State of StarCraft AI Competitions and Bots

Real-Time Strategy (RTS) games have become an increasingly popular test-bed for modern artificial intelligence techniques. With this rise in popularity has come the creation of several annual competitions, in which AI agents (bots) play the full game of StarCraft: Broodwar by Blizzard Entertainment. The three major annual StarCraft AI Competitions are the Student StarCraft AI Tournament (SSCAIT), the Computational Intelligence in Games (CIG) competition, and the Artificial Intelligence and Interactive Digital Entertainment (AIIDE) competition. In this paper we will give an overview of the current state of these competitions, and the bots that compete in them.

Playable Experiences at the 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

This paper describes the accepted entries to the eighth Playable Experiences track to be held at the 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’20). The Playable Experiences track showcases innovative complete works that are informed, inspired, or otherwise enabled by artificial intelligence.

The 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20)

The 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20)

Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19)

This paper describes the accepted entries to the seventh Playable Experiences track to be held at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19). The Playable Experiences track showcases innovative complete works that are informed, inspired, or otherwise enabled by artificial intelligence.

StarCraft AI Competitions, Bots, and Tournament Manager Software

Real-time strategy games have become an increasingly popular test bed for modern artificial intelligence (AI) techniques. With this rise in popularity has come the creation of several annual competitions, in which AI agents (bots) play the full game of StarCraft: Broodwar by Blizzard Entertainment. The three major annual StarCraft AI Competitions are the Student StarCraft AI Tournament, the Computational Intelligence in Games competition, and the Artificial Intelligence and Interactive Digital Entertainment competition. In this paper, we will give an overview of the current state of these competitions, describe the bots that compete in them, and describe the underlying open-source Tournament Manager software that runs them.