I-Corps: Market Impact Identification of Dyadic Attribution Model for Disposition Assessment Using Online Games
I-Corps: Market Impact Identification of Dyadic Attribution Model for Disposition Assessment Using Online Games
批准号:
1505195
负责人:
Shuyuan Metcalfe
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-12-15 至 2016-12-31
中文摘要
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英文摘要
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
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会议论文
EAGER: Collaborative: Language-Action Causal Graphs for Trustworthiness Attribution in Computer-Mediated Communication
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批准号:1347113
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项目类别:Standard Grant
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资助金额:$12.0万
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财政年份:2013
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负责人:Shuyuan Metcalfe
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依托单位:
国内基金
海外基金
Applications of AI in Market Design
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项目类别:外国青年学者研 究基金项目
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批准年份:2024
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负责人:Manshu Khanna
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依托单位:
Exploring the Intrinsic Mechanisms of CEO Turnover and Market
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批准号:--
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项目类别:外国学者研究基金
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资助金额:--
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批准年份:2024
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负责人:HAOFEI Z
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依托单位:
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
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批准号:W2433169
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项目类别:外国学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:HAOFEI ZHANG
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依托单位: