Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2023-04-03
Abstract: AI chatbots can replicate human guidance to improve user engagement and efficacy in Internet-based Self-help Interventions (ISIs), thanks to the rapid development of Artificial Intelligence (AI) technology. However, the study of chatbots’ mechanisms is still in its early stages. To deepen the rational understanding of this issue, we propose a theoretical model based on the human-computer relationship that adapts to the ISIs situation: chatbots can develop Human-Chatbot Relationships (HCRs) through the four stages of anthropomorphic attribution, utilitarian value judgment, attachment relationship development and the establishment of Digital Therapeutic Alliance (DTA) to improve user engagement. In future research, there is a need to further enrich and evaluate the key HCRs theories, construct chatbots based on the HCRs theory, examine additional variables that affect HCRs, unify operational definitions of engagement, and develop appropriate engagement measurement methods.
Subjects: Psychology >> Social Psychology Subjects: Psychology >> Cognitive Psychology Subjects: Psychology >> Psychological Measurement Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2023-01-30
Abstract: As a basic technique in natural language processing (NLP), word embedding represents a word with a low-dimensional, dense, and continuous numeric vector (i.e., word vector). Word embeddings can be obtained by using neural network algorithms to predict words from the surrounding words or vice versa (Word2Vec and FastText) or words’ probability of co-occurrence (GloVe) in large-scale text corpora. In this case, the values of dimensions of a word vector denote the pattern of how a word can be predicted in a context, substantially connoting its semantic information. Therefore, word embeddings can be utilized for semantic analyses of text. In recent years, word embeddings have been rapidly employed to study human psychology, including human semantic processing, cognitive judgment, individual divergent thinking (creativity), group-level social cognition, sociocultural changes, and so forth. We have developed the R package “PsychWordVec” to help researchers utilize and analyze word embeddings in a tidy approach. Future research using word embeddings should (1) distinguish between implicit and explicit components of social cognition, (2) train fine-grained word vectors in terms of time and region to facilitate cross-temporal and cross-cultural research, and (3) deepen and expand the application of contextualized word embeddings and large pre-trained language models such as GPT and BERT.
Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2022-10-22
Abstract: To address the issue of users’ poor engagement, researchers have recently integrated the therapeutic alliance (TA) concept with Internet-based self-help interventions (ISIs). Digital therapeutic alliance (DTA) are TAs established within a digital environment. A chatbot can replicate human guidance due to the rapid development of artificial intelligence, and it is easier to establish relationships with users than traditional ISIs. Furthermore, it may enhance DTA through amiability, respectfulness, attentiveness, encouragement, sincere comprehension, and mutual trust, which presents a novel solution to this issue. Future research can investigate DTA from the perspectives of affecting factors, technology iteration of ISIs, measurement specification, and experimental manipulation.
Subjects: Psychology >> Social Psychology Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2018-11-27
Abstract: "
Peer Review Status:Awaiting Review