如何建立聊天机器人与用户间的数字治疗联盟：关系线索的作用

近年来,研究者们将“治疗联盟”(Therapeutic Alliance,TA)的概念与在线自助干预(Internet-based Self-help Interventions,ISIs)相结合,以解决ISIs中用户参与度较低的问题。这种在数字环境中形成的TA,被称之为“数字治疗联盟”(Digital Therapeutic Alliance, DTA)。随着人工智能的迅速发展,聊天机器人可模拟人类指导,相对于传统ISIs程序更易于与用户建立关系,可通过友好、尊重、倾听、鼓励、真诚、理解、信任这几个关系线索来促进DTA的发展,为解决用户低参与度的问题提供了一种新思路。未来的研究可从影响因素、ISIs技术迭代、测量规范、实验操纵等方面对DTA作进一步的探索。     

Revisiting the past and back to the future: Horizons of cognition and emotion research

ABSTRACT

To commemorate that Cognition & Emotion was established three decades ago, we asked some distinguished scholars to reflect on past research on the interface of cognition and emotion and prospects for the future. The resulting papers form the Special Issue on Horizons in Cognition and Emotion Research. The contributions to Horizons cover both the field in general and a diversity of specific topics, including affective neuroscience, appraisal theory, automatic evaluation, embodied emotion, emotional disorders, emotion-linked attentional bias, emotion recognition, emotion regulation, lifespan development, motivation, and social emotions. We hope that Horizons will spark constructive debates, while offering guidance for the future growth and development of research on the interface between cognition and emotion. Finally, we provide an update on how Cognition & Emotion has fared over the past year, and announce some changes in editorial policies and the editorial board.     

Authenticity: a mediator in the relationship between attachment style and affective functioning

Attachment has been show to exhibit a strong effect on emotional well-being throughout an individual’s lifetime. This study examined individuals’ authenticity as a potential mediating variable in the relationship between insecure attachment and affective functioning. Authenticity was examined from multiple perspectives to better define its role as a mediating variable. Results showed that avoidant attachment is a predictor of affective functioning, and that authenticity acts as a mediating variable in this relationship. Anxious attachment showed no direct relationship with affective functioning, yet evidence was found for an indirect pathway from anxious attachment through authenticity on affective functioning. The differing results by attachment style support Mikulincer, Shaver, and Pereg’s theory suggesting a two-part model of emotional response style, wherein individuals with avoidant attachment deactivate emotion and individuals with anxious attachment show hyper-activation when coping with emotion. The study examines the construct of authenticity and its importance in affective functioning. Implications for therapists working with clients are made that highlight the importance of authentic relationships in therapy and life.     

Shame,guilt, and facial emotion processing: initial evidence for a positive relationship between guilt-proneness and facial emotion recognition ability

Shame and guilt are closely related self-conscious emotions of negative affect that give rise to divergent self-regulatory and motivational behaviours. While guilt-proneness has demonstrated positive relationships with self-report measures of empathy and adaptive interpersonal functioning, shame-proneness tends to be unrelated or inversely related to empathy and is associated with interpersonal difficulties. At present, no research has examined relationships between shame and guilt-proneness with facial emotion recognition ability. Participants (N?=?363) completed measures of shame and guilt-proneness along with a facial emotion recognition task which assessed the ability to identify displays of anger, sadness, happiness, fear, disgust, and shame. Guilt-proneness was consistently positively associated with facial emotion recognition ability. In contrast, shame-proneness was unrelated to capacity for facial emotion recognition. Findings provide support for theory arguing that guilt and empathy operate synergistically and may also help explain the inverse relationship between guilt-proneness and propensity for aggressive behaviour.     

Analyzing temporal patterns of infant sleep and negative affective behavior: a comparison between different statistical models

Objective

Variability in infant sleep and negative affective behavior (NAB) is a developmental phenomenon that has long been of interest to researchers and clinicians. However, analyses and delineation of such temporal patterns were often limited to basic statistical approaches, which may prevent adequate identification of meaningful variation within these patterns. Modern statistical procedures such as additive models may detect specific patterns of temporal variation in infant behavior more effectively.

Method

Hundred and twenty-one mothers were asked to record different behaviors of their 4–44 weeks old healthy infants by diaries for three days consecutively. Circadian patterns as well as individual trajectories and day-to-day variability of infant sleep and NAB were modeled with generalized linear models (GLMs) including a linear and quadratic polynomial for time, a GLM with a polynomial of the 8th order, a GLM with a harmonic function, a generalized linear mixed model (GLMM) with a polynomial of the 8th order, a generalized additive model, and a generalized additive mixed model (GAMM).

Results

The semi-parametric model GAMM was found to fit the data of infant sleep better than any other parametric model used. GLMM with a polynomial of the 8th order and GAMM modeled temporal patterns of infant NAB equally well, although the GLMM exhibited a slightly better model fit while GAMM was easier to interpret. Besides the well-known evening clustering in infant NAB we found a significant second peak in NAB around midday that was not affected by the constant decline in the amounts of NAB across the 3-day study period.

Conclusion

Using advanced statistical procedures (GAMM and GLMM) even small variations and phenomena in infant behavior can be reliably detected. Future studies investigating variability and temporal patterns in infant variables may benefit from these statistical approaches.     

Two-month-olds' attention and affective response to maternal still face: a comparison between term and preterm infants in Taiwan

Maternal still face is a robust experimental procedure designed to examine infants’ sensitivity to social contingency and reactivity to its violation. To extend earlier research on the still-face effect on term infants in Western cultures, the present study compared Taiwanese term and preterm infants’ attention and affective response to and recovery from a modified maternal still-face procedure that used an additional still-face reengagement sequence at 2 months of age (corrected age for preterm infants). Infants’ gaze and facial affect were coded from videos. Results showed that preterm infants were as sensitive as term infants to the interruption to social contingency. Both groups of infants reacted with decreased gaze and positive affect across episodes, together with a decreased latency to gaze aversion and an increased latency to positive affect. Both term and preterm infants also demonstrated a W-shaped pattern of decline-followed-by-recovery in their latency to negative affect. However, compared to term infants, preterm infants became distressed faster and stayed in a negative affective state longer after the first exposure to maternal still face. Effects of prematurity on infant attention and affect regulation were discussed. Implications of preterm infants’ heightened affective negativity to mild stress for intervention studies were also addressed.     

Towards a better understanding of the association between motor skills and executive functions in 5- to 6-year-olds: The impact of motor task difficulty

Different lines of evidence suggest an association between motor skills and executive functions (EFs) in kindergarten children. Comparatively little is known about the specific nature of this relationship. In the present study, using a within-subjects design, a sample of 124 five- to six-year-old children completed 12 fine and gross motor tasks of varying nominal difficulty and three EFs tasks. We assumed that difficult motor tasks are less automated than easy motor tasks. Therefore, EFs should be involved more strongly in difficult compared to easy motor tasks. Firstly, results replicated the association between motor skills and EFs. Secondly, results provided a new and differentiated perspective on the evidence of this link. Performance on both easy and difficult fine motor tasks was significantly related to EFs. However, only performance on the difficult, but not on the easy gross motor tasks was significantly correlated with EFs. The findings demonstrate that the challenges and demands inherent in any motor task influence the magnitude of the motor–EFs link. That is, difficult (i.e., less automated) motor tasks require EFs more substantially than easy (i.e., more automated) motor tasks. Results will be discussed with regard to further candidate processes underlying the motor–EFs link.