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    Renewable energy in wilderness landscapes: Visitors' perspectives
    (MDPI (Basel, Switzerland), 2019-10-19) Tverijonaite E; Sæpórsdóttir AD; Ólafsdóttir R; Hall CM
    Increasing the share of renewable energy in the energy mix is of crucial importance for climate change mitigation. However, as renewable energy development often changes the visual appearance of landscapes and might affect other industries relying on them, such as nature-based tourism, it therefore requires careful planning. This is especially true in Iceland, a country rich in renewable energy resources and a popular nature-based tourism destination. The present study investigated the potential impacts on tourism of the proposed Hverfisfljót hydropower plant by identifying the main attractions of the area as well as by analyzing visitors' perceptions, preferences and attitudes, and the place meanings they assign to the landscape of the area. The data for the study were collected using onsite questionnaire surveys, interviews with visitors to the area, open-ended diaries, and participant observation. The results reveal that the area of the proposed power plant is perceived as wilderness by its visitors, who seek environmental settings related to the components of a wilderness experience. Visitors were highly satisfied with the present settings and preferred to protect the area from development to ensure the provision of currently available recreational opportunities. The results further show that the proposed Hverfisfljót hydropower plant would reduce the attractiveness of the area to its visitors, degrade their wilderness experience, and therefore strongly reduce their interest in visiting the area. Moreover, the participants perceived the already developed lowlands of the country as more suitable for renewable energy development than the undeveloped highland areas, which is in line with the principles of smart practices for renewable energy development.
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    AI-enabled augmented reality exhibition guide systems and their acceptance in Chinese museums : Master of Business Studies (Management), Massey Business School, Massey University, Manawatū, New Zealand
    (Massey University, 2024) Fu, Zuguo
    This study focuses on a survey of visitors' acceptance of AI-enabled Augmented Reality (AR) Exhibition Guide Systems (AAEGS) in a Chinese museum environment. I have studied how visitor acceptance of a museum guide system can be improved by improving the informativeness, personalisation and interactivity of the system. In this paper, I developed a model through my understanding of the Elaboration Likelihood Model (ELM) theory to show that visitors' acceptance of AAEGS is impacted by these three attributes. The mediating effects of cognitive and affective involvement in this process are also tested. In this study, a quantitative research methodology was used, I used a 7-point Likert scale questionnaire and collected visit data from 417 museum visitors to empirically validate the mdel developed in the thesis. My findings suggest that the informative, personalised and interactive features of AAEGS can impact on visitors' acceptance of AAEGS. Cognitive and affective involvement worked in the modelling of this study. I tested the mediating impact of cognitive involvement and affective involvement and found that these attributes influenced visitors' cognitive involvement and affective involvement, leading to their decide to accept AAEGS. The utilization of AI-enabled Augmented Reality (AR) Exhibition Guide Systems aids museum personnel, in comprehending how to improve visitors' immersive experience and satisfaction. This study provides a basis for future research on AI guided tours.