Explaining the background and significance of AI-enabled augmented reality exhibition guide systems (AAEGS) in museums
Highlighting the importance and potential impact of AI-enabled augmented reality exhibition guide systems in Chinese museums
The characteristics of AAEGS influence the complex dynamics of museum visitors' acceptance of the system, with cognitive and affective engagement acting as key mediators.
RQ: What factors do drive museum visitors’ acceptance of AI-enabled augmented reality exhibition guide systems?
uses the Elaboration Likelihood Model (ELM) as a theoretical framework(non-use of persuasive messages).AAEGS attributes: informatization, personalization, and interactivity are independent variables.
Empirical research, quantitative methods, A questionnaire was used, with a Likert scale 7-point scale. Data analysis using smartPLM
Outlining the structure and organization of the paper
Define acceptance, the concept in this paper. Related Research Developments. Give the theoretical basis and personal critical perspectives.
Introduces ELM and describes the theoretical foundations and rationale of this paper. The role of this theory in this paper, leading to cognitive and emotional involvement.
Definition of involvement, Hypothesis 1: Cognitive Involvement has a positive effect on AAEGS acceptance.
Hypothesis 2: Affective Involvement has a positive effect on AAEGS acceptance.
Definitions of these three attributes. Why they are AAEGS core attributes. Why informational, personalization is the central route. Interactivity is the peripheral route.
Hypothesis 3: Informativeness has a positive effect on cognitive involvement.
Hypothesis 4: Personalization has a positive effect on cognitive involvement.
Hypothesis 5: Personalization has a positive effect on affective involvement.
Hypothesis 6: Interactivity has a positive effect on cognitive involvement.
Hypothesis 7: Interactivity has a positive effect on affective involvement.
Describing the overall research design and methodology
Explaining the process of collecting data for the research,using random sampling to garner responses from a diverse cohort of 400 participants. "Questionnaire Star," online survey
Describing the data analysis techniques used in the research
Explaining how participants were selected for the study
Providing demographic information about the participants
Presenting the participants' perception and attitudes towards AI-enabled augmented reality exhibition guide systems
Identifying the key factors that influence the acceptance of AI-enabled augmented reality exhibition guide systems in Chinese museums
Comparing the advantages and disadvantages of AI-enabled augmented reality exhibition guide systems with traditional audio guides or paper brochures
Discussing the implications of the research findings for museum management and exhibition design
Providing recommendations and strategies for improving the acceptance and adoption of AI-enabled augmented reality exhibition guide systems in Chinese museums
Summarizing the main findings and results of the research
Highlighting the contributions and implications of the research for the field of museum studies and technology
Discussing the limitations of the research and suggesting directions for future research