Sensation and emotion: Linguistic manifestations of affective differentiation in sensory modalities
Zhong, Yin; Kathleen Ahrens
Human sensory and emotional systems contribute to cognitive processing in reflecting internal bodily experiences and representing the external world. A proliferation of behavioral and neurological studies has tapped into the effects of sensorimotor and affective information in semantic processing (e.g., Newcombe et al., 2012; Pulvermüller, 2005). Despite that considerable evidence of recruiting sensorimotor mechanisms in language comprehension has been posited, the interaction between sensorimotor and affective systems coded in semantic processing is still an underexplored topic. It is also important to note that emotions are weighed differently across sensory modalities—taste and smell are claimed to be the most “emotional senses” (Mantel et al., 2021). This neurological finding is further attested in the English lexical repository, given that taste and smell lexicons were found to contain more emotional contents than the lexicons of other senses (Winter, 2016). This study aggregated perceptual strengths across six sensory channels (i.e., vision, hearing, taste, smell, touch, and interoception) (Zhong et al., 2022) into affective ratings (i.e., valence and arousal) (Xu et al., 2021) to investigate the interaction between sensory modalities and emotional valence-arousal dimensions in Chinese. Our findings suggested that smell and interoception, considered the two sensations directly linked to emotional processing, are more emotional and can elicit higher arousal levels than words associated with other senses. This study demonstrates the differentiation of emotional information across different sensory modalities and provides further insights into the interplay between sensation and emotion as manifested in the language.
Smart Communications: Boosting Mental Health Literacy
Lai, K.K.; Chan, Gary Shueng Han; LAI-REEVE, Sara; Wong, Lee Long Shaun
The prevalent public health measures against the spread of the COVID-19 disease like social distancing guidelines are necessary but they can make us feel isolated and lonely. Young people are even more vulnerable. The World Health Organization (WHO) has repeatedly issued warnings over youth mental health. Medical professionals have acknowledged the existence of COVID-induced stress and its insidious creep into the fabric of student life. Sadly, open discussions on mental health issues are often viewed as a form of weakness, if not a taboo, among students. Our exploratory project aims to re-socialize students through a collaborative mobile app (StudyBird) to boost mental health literacy and its support networks on campus. The concept of StudyBird is similar to a taxi-hiring app which connects randomly available students (both local and international students) to perform their shared social/sports/learning activities together. Once students shared their locations and activities, the system will automatically match the closest students with similar shared activities together. Without the interference of the human preferences (e.g. staying with your own kin), our app promotes and allows students from diverse cultural backgrounds to meet and mingle with one another. The preliminary results from the three test groups (n=29) indicated positive user feedback, especially about enlarging their social networks in their trusted environment, i.e. our campus. Activity matching in the app and stability of our app is yet to improve. Data analytics has been performed continuously by applying machine learning technology to the data on backend to help students predict their learning progress.
Syntactic complexity and writing quality in students’ technical writing
Wu, Kam Yin
Talking about infertility and its treatment: (dis)empowerment of metaphors in online communication
Ahrens, K.; Deng, Y.; Zhong, Yin
The impact of Project-based learning (PBL) on the writing ability of advanced Chinese learners
Wu, Bingjie; Liang, Xin; Luo, Jing
出经入史:杜佑《通典》经学思想研究之缘起
刘璐, Lo
淺白易懂融會貫通的華語學生語法 — 簡介劍橋學生中文語法
鍾隱, Yin; Huang, C.R.; Zhu, Y.
A Conversation about CORE1402 with Kin Tang and Liza Yew
MELICAN, Mark Anthony
Video: CLE Minicast - Kin and Liza.mp4
Audio: CORE1402.mp4
A Conversation on Scholarship with Lulu and Piotr
MELICAN, Mark Anthony
A Conversation on Scholarship with Piotr and Lulu.mp4
Corpus-based Teaching and Learning of Chinese with Emma Rao, hosted by Karina Suen
MELICAN, Mark Anthony
Video: CORE1413 Emma Rao with Karina Suen.mp4
Audio: CORE1413.mp4