1,452 research outputs found
Presentation Trainer, your Public Speaking Multimodal Coach
A paper describing an experiment on the Presentation TrainerThe Presentation Trainer is a multimodal tool designed to support the practice of public speaking skills, by giving the user real-time feedback about different aspects of her nonverbal communication. It tracks the user’s voice and body to interpret her current performance. Based on this performance the Presentation Trainer selects the type of intervention that will be presented as feedback to the user. This feedback mechanism has been designed taking in consideration the results from previous studies that show how difficult it is for learners to perceive and correctly interpret real- time feedback while practicing their speeches. In this paper we present the user experience evaluation of participants who used the Presentation Trainer to practice for an elevator pitch, showing that the feedback provided by the Presentation Trainer has a significant influence on learning.The underlying research project is partly funded by the METALOGUE project. METALOGUE is a Seventh Framework Programme collabo- rative project funded by the European Commission, grant agreement number: 611073 (http://www.metalogue.eu)
Practising public speaking: user responses to using a mirror versus a multimodal positive computing system
A multimodal Positive Computing system with real-time feedback for public speaking has been developed. The system uses the Microsoft Kinect to detect voice, body pose, facial expressions and gestures. The system is a real-time system, which gives users feedback on their performance while they are rehearsing a speech. In this study, we wished to compare this system with a traditional method for practising speaking, namely using a mirror. Ten participants practised a speech for sixty seconds using the system and using the mirror. They completed surveys on their experience after each practice session. Data about their performance was recorded while they were speaking. We found that participants found the system less stressful to use than using the mirror. Participants also reported that they were more motivated to use the system in future. We also found that the system made speakers more aware of their body pose, gaze direction and voice
VoiceCoach: Interactive evidence-based training for voice modulation skills in public speaking
The modulation of voice properties, such as pitch, volume, and speed, is
crucial for delivering a successful public speech. However, it is challenging
to master different voice modulation skills. Though many guidelines are
available, they are often not practical enough to be applied in different
public speaking situations, especially for novice speakers. We present
VoiceCoach, an interactive evidence-based approach to facilitate the effective
training of voice modulation skills. Specifically, we have analyzed the voice
modulation skills from 2623 high-quality speeches (i.e., TED Talks) and use
them as the benchmark dataset. Given a voice input, VoiceCoach automatically
recommends good voice modulation examples from the dataset based on the
similarity of both sentence structures and voice modulation skills. Immediate
and quantitative visual feedback is provided to guide further improvement. The
expert interviews and the user study provide support for the effectiveness and
usability of VoiceCoach.Comment: Accepted by CHI '2
Semi-Automated & Collaborative Online Training Module For Improving Communication Skills
This is the author accepted manuscript. The final version is available from ACM via the DOI in this recordThis paper presents a description and evaluation of the ROC Speak system, a platform that allows ubiquitous access to communication skills training. ROC Speak (available at rocspeak.com) enables anyone to go to a website, record a video, and receive feedback on smile intensity, body movement, volume modulation, filler word usage, unique word usage, word cloud of the spoken words, in addition to overall assessment and subjective comments by peers. Peer comments are automatically ranked and sorted for usefulness and sentiment (i.e., positive vs. negative). We evaluated the system with a diverse group of 56 online participants for a 10-day period. Participants submitted responses to career oriented prompts every other day. The participants were randomly split into two groups: 1) treatment - full feedback from the ROC Speak system; 2) control - written feedback from online peers. When judged by peers (p<.001) and independent raters (p<.05), participants from the treatment group demonstrated statistically significant improvement in overall speaking skills rating while the control group did not. Furthermore, in terms of speaking attributes, treatment group showed an improvement in friendliness (p<.001), vocal variety (p<.05) and articulation (p<.01)
Semi-Automated & Collaborative Online Training Module For Improving Communication Skills
This paper presents a description and evaluation of the ROC Speak system, a
platform that allows ubiquitous access to communication skills training. ROC
Speak (available at rocspeak.com) enables anyone to go to a website, record a
video, and receive feedback on smile intensity, body movement, volume
modulation, filler word usage, unique word usage, word cloud of the spoken
words, in addition to overall assessment and subjective comments by peers. Peer
comments are automatically ranked and sorted for usefulness and sentiment
(i.e., positive vs. negative). We evaluated the system with a diverse group of
56 online participants for a 10-day period. Participants submitted responses to
career oriented prompts every other day. The participants were randomly split
into two groups: 1) treatment - full feedback from the ROC Speak system; 2)
control - written feedback from online peers. When judged by peers (p<.001) and
independent raters (p<.05), participants from the treatment group demonstrated
statistically significant improvement in overall speaking skills rating while
the control group did not. Furthermore, in terms of speaking attributes,
treatment group showed an improvement in friendliness (p<.001), vocal variety
(p<.05) and articulation (p<.01)
A Survey of Information Technology Applications to Treat Fear of Public Speaking
Public speaking started to gain much attention when it comes to phobias, which is anxiety for new presenters. In some cases, specialists consider that avoiding the phenomenon which causes the phobia is sufficient treatment; in others, the exact opposite, being gradually exposed to the object of fear may lead to a cure. We have to start looking for other psychotherapeutic methods, innovative ones, to help people surpass their immense fears and improve their ability to give presentations. The current article presents a survey on discovering fear and anxiety when preventing and treating it and analyses their utility as tools for learning how to overcome this type of phobias, thus improving presentation ability. Using IT-based solutions for treating presented this fear, especially anxiety for new presenters. The current methods of dealing with the fear of public speaking will be reviewed, as well as Clarify the technology (tools, systems, and applications) based used for detecting and treatment. We will analyze research that studies how to detect fear and the ways to treat it, the concept behind their mechanism and the possibility of exploiting them in presentations. therefore, the paper debates these IT instruments and applications in this field. Based on the results of the survey, we will propose an appropriate mechanism for detecting degrees and types of fear when presenting presentations and their treatment
Multimodal system for public speaking with real time feedback: a positive computing perspective
A multimodal system for public speaking with real time feedback
has been developed using the Microsoft Kinect. The system has
been developed within the paradigm of positive computing which
focuses on designing for user wellbeing. The system detects body
pose, facial expressions and voice. Visual feedback is displayed to
users on their speaking performance in real time. Users can view
statistics on their utilisation of speaking modalities. The system
also has a mentor avatar which appears alongside the user avatar
to facilitate user training. Autocue mode allows a user to practice
with set text from a chosen speech
D3.1 Instructional Designs for Real-time Feedback
The main objective of METALOGUE is to produce a multimodal dialogue system that is able to implement an interactive behaviour that seems natural to users and is flexible enough to exploit the full potential of multimodal interaction. The METALOGUE system will be arranged in the context of educational use-case scenarios, i.e. for training active citizens (Youth Parliament) and call centre employees. This deliverable describes the intended real-time feedback and reflection in-action support to support the training. Real-time feedback informs learners how they perform key skills and enables them to monitor their progress and thus reflect in-action. This deliverable examines the theoretical considerations of reflection in-action, what type of data is available and should be used, the timing and type of real-time feedback and, finally, concludes with an instructional design blueprint giving a global outline of a set of tasks with stepwise increasing complexity and the feedback proposed.The underlying research project is partly funded by the METALOGUE project. METALOGUE is a Seventh Framework Programme collaborative project funded by the European Commission, grant agreement number: 611073 (http://www.metalogue.eu)
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