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This study explores citizen activism in the articulation of a politicised counter-account of Aboriginal rights. It aims to uncover the enabling factors for a successful challenge to established political norms and the obstacles to the fullest expression of a radical imagining.

Laclau and Mouffe's theory of hegemony and discourse is used to frame the movement's success in challenging the prevailing system of urbanised healthcare delivery. Empirical materials were collected through extensive ethnographic fieldwork.

The findings from this longitudinal study identify the factors that predominantly influence the transformational success of an Yaṉangu social movement, such as the institutionalisation of group identity, articulation of a discourse connected to Aboriginal rights to self-determination, demonstration of an alternative imaginary and creation of strong external alliances.

This study offers a rich empirical analysis of counter-accounting in action, drawing on Aboriginal governance traditions of non-confrontational discourse and collective accountability to conceptualise agonistic engagement. These findings contribute to the practical and theoretical construction of democratic accounting and successful citizen activism.

Since the introduction of the outstanding web AI chat system, ChatGPT, it has caused a significant impact in both academia and the business world. Many studies have started to explore its potential applications in various fields. However, there is a lack of research from the perspective of user experience. To fill this theoretical gap and provide a theoretical basis for the operation and design of related services, this study plans to develop a set of evaluation scales for AI chat system user experience and explore the relationship between various factors and user satisfaction.

This study obtained 41 evaluation indicators through literature review and user research. Subsequently, these indicators were used as questionnaire items, combined with satisfaction metrics. A total of 515 questionnaires were distributed, and factor analysis and linear regression were employed to determine the specific elements influencing user experience and the user satisfaction model.

This study found that the factors influencing user experience are usefulness, accuracy, logical inference, interactivity, growth, anthropomorphism, convenience, credibility, ease of use, creativity, and security. Among these factors, only accuracy, anthropomorphism, creativity, and security indirectly influence satisfaction through usefulness, while the rest of the factors have a direct positive impact on user satisfaction.

This study provides constructive suggestions for the design and operation of related services and serves as a reference for future theoretical research in this area.