Artificial intelligence for the measurement of vocal stereotypy

Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of resources required to conduct research and to monitor the effects of interventions in practice. To address this issue, we conducted a proof of concept examining whether artificial intelligence could measure vocal stereotypy in individuals with autism. More specifically, we used an artificial neural network with over 1,500 minutes of audio data from 8 different individuals to train and test models to measure vocal stereotypy. Our results showed that the artificial neural network performed adequately (i.e., session-by-session correlation near or above .80 with a human observer) in measuring engagement in vocal stereotypy for 6 of 8 participants. Additional research is needed to further improve the generalizability of the approach.     

Ecological Networks and Community Attachment and Support Among Recently Resettled Refugees

Interventions aimed at enhancing mental health are increasingly centered around promoting community attachment and support. However, few have examined and tested the specific ecological factors that give rise to these key community processes. Drawing from insights from the ecological network perspective, we tested whether spatial and social overlap in routine activity settings (e.g., work, school, childcare) with fellow ethnic community members is associated with individuals’ attachment to their ethnic communities and access to social resources embedded in their communities. Data on routine activity locations drawn from the Refugee Well‐Being Project (based in a city in the Southwestern United States) were used to reconstruct the ecological networks of recently resettled refugee communities, which were two‐mode networks that comprise individuals and their routine activity locations. Results indicated that respondents’ community attachment and support increased with their ecological network extensity—which taps the extent to which respondents share routine activity locations with other community members. Our study highlights a key ecological process that potentially enhances individuals’ ethnic community attachment that extends beyond residential neighborhoods.     

远距离规则的内隐学习使用了何种记忆存储器：来自神经网络模拟的证据

关于远距离规则的知识是如何被内隐学习的,研究尚未得出结论。该研究通过采用和人类被试相同的实验材料和程序,考察了简单循环网络模型（SRN）对两种汉语声调远距离规则——倒映和逆行规则的内隐学习。结果发现：1.在广泛的参数范围上,SRN能够学会倒映和逆行规则,表明模型的记忆缓冲器可以模拟人类远距离规则的内隐学习;2.SRN对倒映规则的学习比对逆行规则的学习更好,表明在功能上远距离规则的内隐学习可能优先使用了先进先出的记忆存储器及信息加工模式。该研究为探究远距离规则内隐学习的机制提供了新的证据和视角。     

The Association Between Psychological Well-Being and Problematic Use of Internet Communicative Services Among Young People

Previous studies on problematic Internet use have focused almost exclusively on the fact that presence of negative functioning, such as social anxiety, depressive symptoms, or loneliness, represents a risk factor for unhealthy use of the web. For this reason the aim of the present study was to investigate the association between psychological well-being dimensions and problematic use of Internet communicative services. In the current study 495 undergraduate students were recruited. The Italian adaptations of the Psychological Well-being Scales and the Generalized Problematic Internet Use Scale 2 (GPIUS2) were used to assess psychological well-being dimensions and generalized problematic Internet use, respectively. Psychological well-being dimensions explained a significant portion of variance for the GPIUS2 total score levels, after controlling for sex, age, and occupational status. The levels of Autonomy, Environmental Mastery, and Positive Relations with Others acted as significant negative predictors of the tendency to use the web for regulating negative feelings, compulsive use of the web, and the negative outcomes that can arise as a result. The overall findings of the present study provide preliminary evidence that low psychological well-being is associated with problematic use of Internet communicative services.