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Presentation Trainer, your Public Speaking Multimodal Coach

Published: 09 November 2015 Publication History

Abstract

The 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.

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ICMI '15: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction
November 2015
678 pages
ISBN:9781450339124
DOI:10.1145/2818346
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 09 November 2015

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Author Tags

  1. immediate feedback
  2. multimodal interfaces
  3. presentation training.
  4. public speaking
  5. sensors

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  • Research-article

Funding Sources

  • Seventh Framework Programme collaborative project funded by

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ICMI '15
Sponsor:
ICMI '15: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
November 9 - 13, 2015
Washington, Seattle, USA

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ICMI '15 Paper Acceptance Rate 52 of 127 submissions, 41%;
Overall Acceptance Rate 453 of 1,080 submissions, 42%

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  • (2024)Multimodal and immersive systems for skills development and educationBritish Journal of Educational Technology10.1111/bjet.13483Online publication date: 15-May-2024
  • (2024)Beyond hard workout: A multimodal framework for personalised running training with immersive technologiesBritish Journal of Educational Technology10.1111/bjet.13445Online publication date: 26-Feb-2024
  • (2024)EcoScript: A Real-Time Presentation Supporting Tool using a Speech Recognition Model2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI)10.1109/IRI62200.2024.00031(96-101)Online publication date: 7-Aug-2024
  • (2024)Virtual Reality on Public Speaking Phobia mitigationProcedia Computer Science10.1016/j.procs.2024.06.416239(2251-2259)Online publication date: 2024
  • (2024)PublicVR: a virtual reality exposure therapy intervention for adults with speech anxietyVirtual Reality10.1007/s10055-024-00998-x28:2Online publication date: 30-Apr-2024
  • (2023)Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI InteractionACM Transactions on Computer-Human Interaction10.1145/351160530:5(1-45)Online publication date: 23-Sep-2023
  • (2023)‘Um, so like, is this how I speak?’: design implications for automated visual feedback systems on speechBehaviour & Information Technology10.1080/0144929X.2023.2271997(1-20)Online publication date: 9-Nov-2023
  • (2023)Automatic evaluation-feedback system for automated social skills trainingScientific Reports10.1038/s41598-023-33703-013:1Online publication date: 26-Apr-2023
  • (2023)Detecting Public Speaking Stress via Real-Time Voice Analysis in Virtual Reality: A ReviewInnovation-Driven Business and Sustainability in the Tropics10.1007/978-981-99-2909-2_7(117-152)Online publication date: 5-Aug-2023
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