Assessment Scale and Behavioral Model Construction for AI Chat Information Retrieval and Processing Service Systems Based on Behavioral Reasoning Theory—Taking ChatGPT-Like Tools as an Example

Wang, Zheng; Wang, Zhiyuan; Deng, Rong

doi:10.1080/10447318.2024.2331855

Cited by 1 publication

(3 citation statements)

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“…Stage 5 involved factor analysis. In that stage, this study referred to Wang's method [57] for constructing a user experience evaluation scale. By employing factor analysis, this study clustered evaluations of virtual try-on shoe services to summarize multiple influencing factors, which formed the specific dimensions of the user experience evaluation scale constructed in this research.…”

Section: Methodsmentioning

confidence: 99%

“…There is also a wealth of research indicating that the user experience attributes possessed by services directly affect users' attitudes and intention to use services [55,56], with positive elements positively affecting users' attitudes and behavioral intentions, and negative elements negatively affecting users' attitudes and behavioral intentions [57]. At the same time, attitude is also a key trigger for users' intention to use [46].…”

Section: Stimulus-organism-response (S-o-r) Theory Frameworkmentioning

confidence: 99%

“…Furthermore, this study expanded upon the hypotheses proposed in Section 2.2 of the Stimulus-Organism-Response (S-O-R) theory framework. Subsequently, this study integrated the methodologies and processes of Calisir [67] and Wang [57], using exploratory factor analysis to test the discriminant validity between attitude, intention to use, and user experience influencing factors. Each factor also exhibited good internal consistency among its observed variables.…”

Section: Certainty Assessmentmentioning

confidence: 99%

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A Study on the Willingness of “Generation Z” Consumers to Use Online Virtual Try-On Shopping Services Based on the S-O-R Framework

Wang,

Jiang

2024

Systems

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Virtual try-on services, which significantly reduce return rates and enhance user shopping experiences, pose a crucial question: how can user willingness to use these services be increased? Additionally, “Generation Z” consumers, known for their unique traits and significant consumption potential, have been relatively understudied in this context. To address this theoretical gap, this study employs the Stimulus–Organism–Response (S-O-R) theory as its research framework, using online virtual shoe try-on services as a case study. Focusing on “Generation Z” consumers, this study utilizes literature review, user research, factor analysis, and linear regression to establish a user experience evaluation scale and behavior model. The user experience evaluation scale identifies positive elements such as convenience, price value, visual information acquisition, emotional value, and social interaction. The negative elements include technical limitations, personalized service deficiencies, and uncertainty. In the behavior model, all elements influence user attitudes. Notably, only the negative elements directly affect users’ willingness to use the service, except social interaction among the positive elements, which positively impacts usage intention. This study also reveals that “Generation Z” consumers have novel requirements for social interaction. This research effectively addresses existing theoretical gaps and provides a foundational theory for the development of related services and technologies.

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Section: Methodsmentioning

confidence: 99%