Affect and believability in game characters:a review of the use of affective computing in games

Virtual agents are important in many digital environments. Designing a character that highly engages users in terms of interaction is an intricate task constrained by many requirements. One aspect that has gained more attention recently is the effective dimension of the agent. Several studies have addressed the possibility of developing an affect-aware system for a better user experience. Particularly in games, including emotional and social features in NPCs adds depth to the characters, enriches interaction possibilities, and combined with the basic level of competence, creates a more appealing game. Design requirements for emotionally intelligent NPCs differ from general autonomous agents with the main goal being a stronger player-agent relationship as opposed to problem solving and goal assessment. Nevertheless, deploying an affective module into NPCs adds to the complexity of the architecture and constraints. In addition, using such composite NPC in games seems beyond current technology, despite some brave attempts. However, a MARPO-type modular architecture would seem a useful starting point for adding emotions

Affective games:a multimodal classification system

Affective gaming is a relatively new field of research that exploits human emotions to influence gameplay for an enhanced player experience. Changes in player’s psychology reflect on their behaviour and physiology, hence recognition of such variation is a core element in affective games. Complementary sources of affect offer more reliable recognition, especially in contexts where one modality is partial or unavailable. As a multimodal recognition system, affect-aware games are subject to the practical difficulties met by traditional trained classifiers. In addition, inherited game-related challenges in terms of data collection and performance arise while attempting to sustain an acceptable level of immersion. Most existing scenarios employ sensors that offer limited freedom of movement resulting in less realistic experiences. Recent advances now offer technology that allows players to communicate more freely and naturally with the game, and furthermore, control it without the use of input devices. However, the affective game industry is still in its infancy and definitely needs to catch up with the current life-like level of adaptation provided by graphics and animation

Papers, Please and the systemic approach to engaging ethical expertise in videogames

Papers, Please, by Lucas Pope (2013), explores the story of a customs inspector in the fictional political regime of Arstotzka. In this paper we explore the stories, systems and moral themes of Papers, Please in order to illustrate the systemic approach to designing videogames for moral engagement. Next, drawing on the Four Component model of ethical expertise from moral psychology, we contrast this systemic approach with the more common scripted approach. We conclude by demonstrating the different strengths and weaknesses that these two approaches have when it comes to designing videogames that engage the different aspects of a player’s moral expertise

Personality AI Development

This project is about exploring various methods to create game A.I.s with different personalities. A Japanese themed game Action Role Playing Game is also made for testing the A.I.s. We used three algorithms: behavior tree, behavior tree with utility based decision maker, and finite state machine, and made four A.I.s each with personality of: aggressive, bullying, cowardly and tricky. All the A.I.s is put into an NPC monster called Nue in our game: Yokai World and a test were conducted with 16 play testers to see each personality’s recognizability and believability