# VR Reading Revolution: Decoding User Intentions Through Task-Technology Fit and Emotional Resonance
## 3 Methodology
### Measurement of Variables  
The English scale was translated by a teacher with a high level of English proficiency in English majors, and the translation was repeated to ensure that the semantic meaning of the questionnaire items was correct. The questionnaire was in the form of a 5-point Likert scale, with 1-5 ranging from \"Strongly Disagree\" to \"Strongly Agree\". This study's measurement of virtual book forums' self-expression drew on the Authentic Self-Expression Scale for Social Networks developed by [PERSON] et al. [65], and modified some of the question items in the Chinese context to form a 3-item scale for self-expression in virtual book forums, such as \"I feel that I express aspects of myself in the VR book forums in a way I haven't expressed them in my offline exchanges\". In this study, the measurement of emotional resonance was borrowed from the mature scale of [PERSON] et al. [66], and the 3-item scale for emotional resonance was formed after the censoring process, such as \"VR reading makes me imaginative about the world\". The measurement of virtual book forums' sense of belonging in this study draws on [PERSON] et al. 's [67] Social Sense of Belonging Scale, which emphasizes the individual's perceived connection to and acceptance of other individuals in the environment, which is in line with the content of this study, and this study retains one item for each of the five dimensions of Social Identity, Social Security, Social Sense of Achievement, Social Interaction, and Social Cognition, while modifying the nomenclature to form a five-itemscale for virtual book forums' sense of belonging, such as \"I am happy to discuss social issues with my fellow readers through the VR book community.\"  
The measurement of perceived VR immersion in this study synthesizes the multifaceted connotations explored by previous scholars on VR immersion, and combines the measurement methods of [PERSON] et al. [68] and [PERSON] et al. [69] on perceived immersion to integrate the three dimensions (authenticity, functionality, and coupling) of VR immersion to ensure that its core connotations are fully observed, and finally forms a 3-item scale for VR immersion perception, e.g., \"When experiencing reading using VR technology, I was so completely immersed in it that I even forgot about the real environment around me\". The measure of task-technology fit in this study was borrowed and adapted from the research scales of [PERSON] et al. [70] and [PERSON] et al. [71]. In this paper, we streamlined the scales of the former, and finally formed a 3-item scale for task-technology fit in this study, with scales such as \"The service provided by VR Reading is appropriate\". The study of peer recommendation was based on the mature scale of [PERSON] et al. [72]. In this study, the measures of \"trust in friends\" and \"recommendation to buy\" dimensions were eliminated from the original scale, and a 3-item scale for peer recommendation was formed, with items such as \"I like to ask for product information from my friends\". The measurement of privacy and security risk in this study was based on the well-established scale of [PERSON] et al. [73]. Their study focuses on consumers' concerns about the purpose and use of user information collected by smart devices, which is very close to the topic of this study--\"I worry that VR software platforms include SteamVR, Meta Quest, and local VR ecosystems with embedded social and recommendation features will analyze my social relationships and life trajectory\". The specific situation is shown in Appendix A.  
Usage intention is a mature variable in the current research in various fields; the measurement of usage intention in this study draws on [PERSON] et al. 's [74] scale, forming a 3-item measurement scale for usage intention in this study, such as \"I will often use VR reading products\".