A neuro-cognitive approach to intelligent gaming

智能游戏的神经认知方法

• 批准号: 436702-2012
• 负责人: Jackson, Philip
• 金额: $ 4.39万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=619176
• 关键词: neuro; cognitive; approach; intelligent; gaming

People are playing games more than ever, and this trend is increasing yearly. The challenge of measuring the fun factor and capturing its components in gaming is considerable. The use of objective behavioural and psychophysiological measures that could provide continuous and dynamic data is a promising avenue to avoid the limits of more static subjective measures such as scales and questionnaires. The use of such measures as input data that would guide the course of the game could produce truly evolving and intelligent games, which are capable of maximizing the players' experience. The goal of this proposal is to combine different expertise in social and affective neuroscience (P. Jackson), and in applied cognitive sciences (S. Tremblay) with the know-how of a world leader in the gaming industry (Ubisoft) to develop an intelligent gaming system that adapts to the player's behaviour as the game progresses. Such an endeavour will benefit from the advanced technologies available to measure the players' neuro-physiological data and from recent modeling techniques that are optimally suited for capturing human dynamic behaviours. The ultimate product of this research will be a generic system that will provide brain and behaviour based adaptability suitable to different game engines and types of games, which could then be extended to other applications in the entertainment industry, as well as education (e.g., serious gaming), crisis management and healthcare (e.g., adaptive interface and decision support systems).

人们比以往任何时候都更多地玩游戏，而且这一趋势每年都在增加。在游戏中衡量乐趣因素并捕捉其组成部分的挑战是相当大的。使用能够提供连续和动态数据的客观行为和心理生理措施，是避免诸如比例尺和问卷等较为静态的主观措施限制的一个有希望的途径。使用这样的措施，如输入数据，将指导游戏的进程，可以产生真正的发展和智能的游戏，能够最大限度地提高玩家的体验。这项提议的目标是将社会和情感神经科学(P.Jackson)和应用认知科学(S.Tremblay)方面的不同专业知识与游戏行业(育碧)的世界领先者的技术诀窍结合起来，开发一种智能游戏系统，随着游戏的进展适应玩家的行为。这样的努力将受益于可用于测量玩家神经生理数据的先进技术，以及最适合捕捉人类动态行为的最新建模技术。这项研究的最终产品将是一个通用系统，它将提供适合不同游戏引擎和游戏类型的基于大脑和行为的适应性，然后可以扩展到娱乐业的其他应用程序，以及教育(例如严肃游戏)、危机管理和医疗保健(例如自适应界面和决策支持系统)。