I-Corps: Market Impact Identification of Dyadic Attribution Model for Disposition Assessment Using Online Games

公共和私人机构都需要识别可能导致潜在不良行为或最适合组织的心理属性。美国和世界各地的社区都在寻找新的方法来防止潜在的危险行为。针对我们的军事、隐私、人身安全、金融安全和国家安全的网络威胁是由人为因素引发的。使用的语言揭示了用户行为的倾向，这为了解个人潜在的稳定性、可靠性和可信度提供了一个窗口。在潜在的有害人类行为付诸行动之前识别它的能力变得越来越可行。必须解决有关当局在不良行为出现之前加强干预措施的必要性。通过测量可信度，可以减轻组织内部的威胁。通过对军人进行筛查，可以及早发现与压力有关的疾病。通过了解学生的性格，可以识别网络欺凌行为，从而保护学生。通过关注执法人员的配置，社区互动可以减少争议，提高效率。这个I-Corps团队开发了一种方法，通过分析在线交流行为来识别具有威胁性的人类性格和欺骗动机。该技术能够根据参与者的在线交流提取参与者的语言-行为特征，以建立可信度的二元归因模型。在互动游戏过程中，该技术根据在线参与者的在线对话分析他们的选择，以识别他们的交流意图。语言-行为特征将提供一个因果推理系统，该系统在递归贝叶斯推理框架中分析和更新社会行动者的可信度。这种二元归因模型的分析有可能基于信息行为来评估具有威胁性的人类性格和意图（例如，不满）。该模型的进一步应用是应用于类似的实例，例如根据在线行为识别具有自杀、谋杀、愤怒和暴力倾向的演员。有了这个产品，当局可以分析心理稳定性，并在必要时作出反应，提供咨询，使悲惨的后果可以

Both public and private agencies have a need to identify psychological attributes that can lead to potentially undesired behavior or best-fit in the organization. Communities across the US and throughout the world are looking for new approaches to protect againstpotentially dangerous behaviors. Cyber threats specific to our military, privacy, personal safety, financial security, and national security are initiated by human factors. Language used reveals the tendency of a user's behavior, which provides a window into the potential stability, dependability, and trustworthiness of an individual. The ability to identify potentially harmful human behavior before it is acted out becomes increasingly viable. The need for increased intervention measures by appropriate authorities before undesired behavior surfaces must be addressed. By measuring trustworthiness, organizational insider threats can be mitigated. By screening military personnel, stress-related disorders can be identified early on. By understanding students' disposition, cyber-bullying behavior can be recognized in order to safeguard students. By paying attention to the disposition of law enforcement personnel, community interactions can be less contentious and more effective. This I-Corps team has developed a methodology to identify threatening human disposition and deceptive motivation through analysis of online communication behaviorThis technology has the ability to extract actors' language-action features based on their online communication to establish dyadic attribution models of trustworthiness. During interactive game playing, the technology analyzes online actors' choices based on their online conversations, to discern their communicative intent. The language-action features will feed a causality reasoning system wherethe trustworthiness of the social actor is analyzed and updated in a recursive Bayesian inference framework. The analysis from this dyadic attribution model has the potential for assessing threatening human disposition and intent (e.g., disgruntled) based on information behavior. The further utilization of this model is to apply in similar instances such as identifying actors with tendencies for suicide, murder,rage, and violence based on their online behavior. With this product, the authorities can analyze psychological stability and respond when necessary to provide counseling so that tragic consequences can