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2024 Vol. 30, No. 1
Published: 2024-02-29
 
3 A Human-Intelligence Interaction Framework based on Intention Recognition
XU Hao-kui, ZHENG Xu-tao, ZHAO Yang,TANG Ning,ZHOU Ji-fan,SHEN Mo-we
The development of artificial intelligence has brought a series of new challenges to Human-Computer Interaction (HCI). There is an urgent need to design new interaction methods between humans and intelligent systems. The present paper analyzes three key issues brought about by the development of intelligent systems to HCI, and points out that the new interaction between humans and intelligent systems should aim to be close to human-human interaction. Through summarizing the current research and theories on human social interaction, an interaction framework based on intention recognition is proposed. The framework has the potential to improve interaction efficiency and solve challenges brought by the development of intelligence. Finally, the current paper discusses the relationship between new and traditional interaction frameworks, and provides a new direction for theoretical research on new interaction design.
2024 Vol. 30 (1): 3- [Abstract] ( 617 ) PDF (463 KB)  ( 1053 )
11 Initial Trust Based on Intuitive Judgment: Heuristic Cues and Influencing Factors
SHEN Yin-qi，XIE Yun-zi，WU Ji-xia
Initial trust is the beginning of many important relationships, and it is also the form of trust that most studies focus on. The uncertain nature that the lack of reliable cues makes the initial trust often rely on the intuition. Initial trust based on intuitive judgment can obtain heuristic cues from trustors themselves and trust objects, and it is also affected by individual and situational factors. In the future, we can further deepen studies on heuristic cues, expand studies on influencing factors of intuitive initial trust, as well as combine heuristic cues and influencing factors to improve the accuracy of initial trust.
2024 Vol. 30 (1): 11- [Abstract] ( 557 ) PDF (442 KB)  ( 771 )
23 Active Inference of Digital Niche: Predictive Mind in Metaverse
LIU Lin-shu，YE Hao-sheng
Predictive mind theories based on the architecture of Active Inference have the potential to give a normative formal description of the dynamic coupling between man and media from the perspective of cognitive science, thereby revealing the essence of “metaverse” that has been deemed as the terminal point of Internet revolution. According the predictive mind theories, information media which is grounded, embodied and with greatly rich content will eventually become the cognitive niche or even the ecological niche of the Internet users’ digital living, supporting a new form of sense-making in the dynamics of man-media interaction, comparing to that in the physical world. At a larger spatiotemporal scale, under all these grand transitions lies the implicit theme of seesaw battle between man and media for the role of leading dancer in Active Inference.
2024 Vol. 30 (1): 23- [Abstract] ( 411 ) PDF (623 KB)  ( 620 )
33 Neurocognitive mechanism of emotion regulation of social pain: Current status and prospects
MO Li-cheng，LI Yi-wei ZHANG，Dan-dan
Negative emotional experience caused by the breakdown or damage of social relationships is called social pain. Social pain not only brings us disastrous emotional experience, but is also a major cause of many mental disorders. Uncovering the neurocognitive mechanism of emotion regulation of social pain, improves the theory of emotion regulation and helps relive social pain in patients with mental disorders. Based on the review of the literatures on the emotion regulation of non-social and social pain, this paper points out the unsolved problems in this field, and provides feasible research ideas and suggestions.
2024 Vol. 30 (1): 33- [Abstract] ( 658 ) PDF (579 KB)  ( 752 )
44 Characteristic of Reciprocal Behavior in Children with Autism: From the Perspective of Self-Other Distinction
ZHANG Jing，LIN Qing，CHEN Li-fu，SUN Qing-zhou，YANG Fu-yi
Reciprocity refers to the principle of behavior in which individual rewards others in a similar way for everything they have done for them. The existing hypothesis of mindblindness and extreme male brain have been extensively explored for the characteristics of reciprocal behavior of children with autism, but there are many contradictions or inconsistencies. By introducing the perspective of self-other distinction, the explanation of egocentricity bias and altercentric bias is proposed from the weak central coherence theory, which helps to reconcile contradictions and make suggestions. In the future, it is necessary to further investigate the potential role of imitation and inhibitory control, explore the regulation of the self-other perspective on the reciprocal behavior under separation conditions and develop ecological intervention models for children with autism.
2024 Vol. 30 (1): 44- [Abstract] ( 499 ) [PDF (0 KB)  ( 341 )
56 Misophonia: Clinical Psychological Characteristics and Neural Mechanisms
XU Tian-yu，XU Hui-yan，PING Xian-jie，CHEN Wei
Misophonia is a specific emotional psychological disorder that leads to negative emotions, physiological arousal and abnormal behaviors in response to certain everyday sounds, and seriously affects the physical and psychological development and social adjustment of patients. Misophonia overlaps with psychosomatic disorders such as obsessive-compulsive disorder in symptoms, but it shows unique neurological characteristics in insula, orbitofrontal cortex and motor cortex. Further brain imaging revealed abnormal functional connections between the audiovisual cortex, limbic system, autonomic nervous system, insula and motor cortex in misophonia. The intense world theory and hyper-mirroring model provide the clinical psychological and neural mechanism explanation for misophonia in the abnormal aspects of attentional system, perceptual system, emotional system and perception-action connection system. On this basis, new ideas were provided for perfecting and constructing the treatment of misophonia from the perspectives of revising cognition, remodeling neural activity and improving functional connectivity of brain regions by distinguishing the unimodal intervention and multimodal intervention.
2024 Vol. 30 (1): 56- [Abstract] ( 544 ) PDF (674 KB)  ( 2961 )
68 Relationship between Perceived Discrimination and Behavior adaptation among the Left-Behind Children: Personal Growth Initiative as a Mediator and Moderator
FAN Xing-hua，ZHU Su-ping，HUANG Ya-dan，XU Jie-yu，FANG Xiao-yi
This study examined the mediating and moderating effects of personal growth initiative on the relationship between perceived discrimination and behavioral adaptation(prosocial behavior and delinquency) among left-behind children. After granted permission, 2436 left-behind children were requested to complete a series of self-report inventories to measure their perceived discrimination, prosocial behavior, delinquency and personal growth initiative. The result showed that:(1) perceived discrimination is negatively correlated with prosocial behavior, and positively correlated with delinquency. (2) PGI plays a mediating role in the prediction of perceived discrimination on behavioral adaptation. (3) PGI moderates the impacts of perceived discrimination on prosocial behavior and delinquency.
2024 Vol. 30 (1): 68- [Abstract] ( 543 ) PDF (846 KB)  ( 876 )
77 The relationship between music training experience and the spatial representation of rhythm change: A test based on SMARC effect
CHEN Rui，CHEN Yu-tian，LI Peng，ZHANG Shu-qi，CHEN Qi-yi
This study aimed to investigate the influence of musical training experience on the SMARC effect of individuals in near/far directions. Eye movement technique and a set of materials with increasing or decreasing rhythm from a drum set were adopted in this study. Results showed that, compared with the subjects without music training experience, subjects under music training experience performed longer fixation duration to the far distance with the gradually increasing rhythm, and have an advantage in response to the near position when under the gradually slowing rhythm. This study revealed that music training experience can promote the formation of rhythm SMARC effect in the far and near spatial orientation of individuals.
2024 Vol. 30 (1): 77- [Abstract] ( 368 ) PDF (998 KB)  ( 356 )
86 Longitudinal Item Response Times Models for Assessing Change in Latent Processing Speed
CHEN qi-peng，ZHAN pei-da
In psychological and behavioral studies, measuring change over time is essential to a developmental study. These changes can be captured by longitudinal latent variable models. With the spread of computerized assessment, learning, and experimental systems, it has become common to collect process data, such as reaction or response times (RTs), in addition to traditional item response accuracy (RA) data. RT data is used as a complement to RA data, describes the total time taken by individuals to solve problems, and can be used to analyze the latent processing speed of individuals. However, existing longitudinal models mainly focus on longitudinal RA data and pay little attention to longitudinal RT data. While most of the existing RT models are limited to analyzing cross-sectional RT data and cannot track the development of students' latent processing speed over time. To this end, in this study, four longitudinal RT models based on two commonly used longitudinal modeling methods (i.e., multivariate normal distribution modeling and latent growth curve modeling) were proposed to achieve objective assessing of individual latent processing speed change. The measurement models are consistent across the four models, with differences mainly in the structural model, which describes how the latent processing speed changes over time. Overall, the proposed four modeling approaches, which are extensions of the lognormal RT model (van der Linden, 2006) in the longitudinal setting from the perspective of structural equation modeling, can provide the development trajectories of latent processing speed. The results of the empirical study and simulation study mainly indicated that the four longitudinal RT models proposed in this paper have practical applicability and good psychometric properties, which not only enrich the analysis methods of longitudinal RT data in psychological and educational measurement but also expand the application scope of longitudinal latent variable models.
2024 Vol. 30 (1): 86- [Abstract] ( 389 ) PDF (1082 KB)  ( 440 )
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