New assessment systems for residential treatment,management, research,and evaluation: A symposium

An introduction and overview are presented to new observational assessment systems for ongoing assessment and monitoring of both staff and resident (client or patient) functioning in residential treatment programs for emotionally disturbed and mentally retarded adults.Preparation of articles and the research and development on which the articles are based was supported, in part, by Public Health Service Grants MH-15553 and MH-25464 from the National Institute of Mental Health, and by grants from the Joyce Foundation and the Illinois Department of Mental Health and Developmental Disabilities.A symposium presented at the 87th Annual Meetings of the American Psychological Association, New York City, September 1979.     

Systems use to objectify program evaluation,clinical, and management decisions

The utility of the observational assessment systems at different levels — from local clinical to systemwide management — is outlined. An overview is provided of TSBC information applied to individualized problem identification and programming/monitoring, discharge and competency determinations, and both absolute and comparative program evaluation. The utility of SRIC information for prgoramming/monitoring and for staff training and evaluation is outlined in addition to the applied uses of the information of the assessment systems in combination. Once implemented, the continuous data from the systems allow for empirically based self-corrective improvements in the quality of mental health services while automatically providing a basis for legal documentation and accurate cost/effectiveness comparisons of mental health programs.Preparation of this article and the research and development on which the article is based were supported, in part, by Public Health Service Grants MH-15553 and MH-25464 from the National Institute of Mental Health, and by grants from The Joyce Foundation and the Illinois Department of Mental Health and Developmental Disabilities.Presented at the 87th Annual Meetings of the American Psychological Association, New York City, September 1979, as part of a symposium on New assessment systems for residential treatment, management, research, and evaluation.     

COMPARING TREATMENT TACTICS WITH A HYPERACTIVE PRESCHOOL CHILD: STIMULANT MEDICATION AND PROGRAMMED TEACHER INTERVENTION1

Two treatment tactics, food and praise contingent on appropriate play and varying doses of methylphenidate (Ritalin), were evaluated for their effects on a preschool child's activity changes. In addition, other social, verbal, and academic behaviors were monitored to examine possible side effects of the two treatment tactics. Fewer free-play activity changes occurred during contingent reinforcement phases while medication had variable effects: increasing attention to tasks but, at higher doses, decreasing intelligibility of speech and responsiveness to mands. The study outlines a replicable model for comparing medication with alternative behavioral strategies to control hyperactivity and enhance skill development.     

树大招风：社交焦虑者的正性评价恐惧

正性评价恐惧是社交焦虑能够有效鉴别于抑郁症的核心特征。正性评价恐惧是指对他人给予的积极评价感到恐惧, 并因此而担忧的一种情绪反应。正性评价恐惧不仅会使社交焦虑者表现出否认积极认知、回避关注及情绪消极化等特点, 还会通过去正性化思维和解释偏向进一步加剧其认知偏差并抑制其正性情绪, 从而维持和加剧个体的社交焦虑症状。未来研究应关注正性评价恐惧在教育和咨询中的应用, 以及本土倡导谦虚文化背景下正性评价恐惧特点的研究。     

自动观点采择：内隐心智化与潜心智化的争议

自动观点采择现象已有很多研究证实, 但其产生机制还存在争议。目前存在内隐心智化与潜心智化两种观点：前者认为自动观点采择是自发采择他人视角的领域特殊加工; 而后者提出自动观点采择实质为反射性注意定向、位置的空间编码等领域一般加工, 模拟了心智化在社会环境中的作用。在内隐心智化和潜心智化可独立或共同运行的基础上, 提出了内隐心智化和潜心智化协同作用模型。未来研究应借助先进的技术手段研究多样的被试群体, 探索自动观点采择的作用机制。     

社会评价影响错误后调整效应

现有研究主要采用结果评价或结果反馈的方式考察评价对错误后调整效应的影响,但是任务前的社会评价怎样影响错误后调整效应尚不清楚。本研究采用社会评价任务,以错误后反应时和错误后正确率为指标,在两个实验中考察正性和负性评价对错误后调整效应的影响。结果发现,实验1和实验2中正性和负性评价条件下错误后减慢效应差异均不显著,说明正性和负性评价对错误后调整的作用是一致的,且不受实验任务的影响。在实验1中通过和无评价条件比较发现,评价条件下的正确后反应显著慢于无评价条件,但是评价条件下的错误后反应与无评价条件无差异,说明社会评价加速了个体错误后调整。而且在实验2中发现高低自我效能组个体错误后调整效应差异不显著,说明当前结果不受个体自我效能感的影响。因此,当前研究说明任务前的社会评价促进了个体错误后行为调整,但是错误后调整效应不受社会评价效价的影响。     

情感计算技术如何推动犯罪风险评估工具的发展？

摘 要 随着近年来人工智能深度学习技术的发展,情感计算与人格计算技术日渐成熟,在许多实际应用场景中取得了良好的表现,当前人工智能情感计算技术应用于犯罪风险评估领域,能够有效解决目前主流的风险评估工具难以解决的个体内差异性的预测因子评估问题以及被测评参与者因社会赞许性而导致结果失真的问题。本文在详细阐述目前主流评估工具的局限性基础上,详细阐述了以情感计算技术为支撑的动态风险评估工具的设计思路、目前已有的技术方案以及设计细节的理论依据,在此基础上最后提出以人工智能技术为支撑的新型评估工具的未来发展方向。     

左侧眶额皮层在自动情绪调节下注意选择中的作用：来自经颅直流电刺激的证据

前人研究表明自动情绪调节能够自上而下地影响情绪及情绪性注意过程。近来有研究提示自动情绪调节与眶额皮层(orbitofrontal cortex, OFC)有关。也有研究表明左侧OFC的激活影响负性注意偏向。本研究采用经颅直流电刺激技术, 考察阈下启动情绪控制目标条件下, 抑制左侧眶额皮层兴奋性是否影响负性注意偏向。结果发现, 使用阴极刺激抑制左侧OFC活动可以加快被试对与恐惧刺激位置一致的探测点的反应。该结果提示左侧眶额皮层是自动情绪调节下情绪性注意选择相关的重要脑区。