Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Public speaking, an important type of oral communication, is critical to success in both learning and career development. Hover, there is a lack of tools to efficiently and economically evaluate presenters' verbal and nonverbal behaviors. The recent advancements in automated scoring and multimodal sensing technologies may address this issue.  report a study on the development of an automated scoring model for public speaking performance using multimodal cues. A multimodal presentation corpus containing 14 subjects' 56 presentations has been recorded using a Microsoft Kinect depth camera. Task design, rubric development, and human rating re conducted according to standards in educational assessment. A rich set of multimodal features has been extracted from head poses, eye gazes, facial expressions, motion traces, speech signal, and transcripts. The model building experiment shows that jointly using both lexical/speech and visual features achieves more accurate scoring, which suggests the feasibility of using multimodal technologies in the assessment of public speaking skills.
['Lei Chen', 'Chee Wee Leong', 'Gary Feng', 'Chong Min Lee', 'Swapna Somasundaran']
I am writing a research paper on a idea Utilizing multimodal cues to automatically evaluate public speaking performance
[{"from": "human", "value": "I am writing a research paper on a idea Utilizing multimodal cues to automatically evaluate public speaking performance"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Public speaking, an important type of oral communication, is critical to success in both learning and career development. Hover, there is a lack of tools to efficiently and economically evaluate presenters' verbal and nonverbal behaviors. The recent advancements in automated scoring and multimodal sensing technologies may address this issue.  report a study on the development of an automated scoring model for public speaking performance using multimodal cues. A multimodal presentation corpus containing 14 subjects' 56 presentations has been recorded using a Microsoft Kinect depth camera. Task design, rubric development, and human rating re conducted according to standards in educational assessment. A rich set of multimodal features has been extracted from head poses, eye gazes, facial expressions, motion traces, speech signal, and transcripts. The model building experiment shows that jointly using both lexical/speech and visual features achieves more accurate scoring, which suggests the feasibility of using multimodal technologies in the assessment of public speaking skills."}]