2025/07/10 by Nesrine Fourati, Fourati, Nesrine, Alisa Barkar +7 · 1 voice
Computer Science · Psychology · Social Sciences · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Innovative Teaching Methods #Innovative Teaching and Learning Methods #cs.AI #cs.CL #cs.HC
paper · pdf · doi:10.48550/arxiv.2507.07930
openalex publication_date 2025/07/10 · arxiv published 2025/07/10 · arxiv updated 2025/07/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Background: Public speaking is a vital professional skill, yet it remains a source of significant anxiety for many individuals. Traditional training relies heavily on expert coaching, but recent advances in AI has led to novel types of commercial automated public speaking feedback tools. However, most research has focused on prototypes rather than commercial applications, and little is known about how public speaking experts perceive these tools. Objectives: This study aims to evaluate expert opinions on the efficacy and design of commercial AI-based public speaking training tools and to propose guidelines for their improvement. Methods: The research involved 16 semi-structured interviews and 2 focus groups with public speaking experts. Participants discussed their views on current commercial tools, their potential integration into traditional coaching, and suggestions for enhancing these systems. Results and Conclusions: Experts acknowledged the value of AI tools in handling repetitive, technical aspects of training, allowing coaches to focus on higher-level skills. However they found key issues in current tools, emphasising the need for personalised, understandable, carefully selected feedback and clear instructional design. Overall, they supported a hybrid model combining traditional coaching with AI-supported exercises.