Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)). Such an exam-oriented mobile application provides customized learning opportunity with automatic feedbacks through artificial intelligence (AI) technology for users to enhance their speaking skills. This study aims to explore the attitudes of test takers on using exam-oriented mobile application to adapt in testing environment as influenced by their perceptions through the theory of Technology Acceptance Model. 235 Chinese IELTS test takers with experience of using such applications were invited to fill out an online questionnaire. Collected data were analysed through statistical method, textual analysis, word cloud approach, and sentiment analysis. Results revealed that test takers' perceived usefulness and perceived ease of use towards the exam-oriented mobile application explained their attitudes to use such an application. They also expressed the concern of personalized AI function to support speaking test adaptation. Implications for educators, test taker, and application developers are provided.