Presentation skills estimation based on video and kinect data analysis

Vanessa Echeverría; Allan Avendaño; Katherine Chiluiza; Aníbal Vásquez; Xavier Ochoa

doi:10.1145/2666633.2666641

Presentation skills estimation based on video and kinect data analysis

Vanessa Echeverría, Allan Avendaño, Katherine Chiluiza, Aníbal Vásquez, Xavier Ochoa

Administration, Leadership & Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper identifies, by means of video and Kinect data, a set of predictors that estimate the presentation skills of 448 individual students. Two evaluation criteria were predicted: eye contact and posture and body language. Machine-learning evaluations resulted in models that predicted the perfor- mance level (good or poor) of the presenters with 68% and 63% of correctly classified instances, for eye contact and postures and body language criteria, respectively. Furthermore, the results suggest that certain features, such as arms movement and smoothness, provide high significance on predicting the level of development for presentation skills. The paper finishes with conclusions and related ideas for future work.

Original language	English (US)
Title of host publication	MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014
Publisher	Association for Computing Machinery
Pages	53-60
Number of pages	8
ISBN (Electronic)	9781450304887
DOIs	https://doi.org/10.1145/2666633.2666641
State	Published - Nov 12 2014
Event	3rd Multimodal Learning Analytics Workshop and Grand Challenges, MLA 2014 - Istanbul, Turkey Duration: Nov 12 2014 → Nov 12 2014

Publication series

Name	MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014

Other

Other	3rd Multimodal Learning Analytics Workshop and Grand Challenges, MLA 2014
Country/Territory	Turkey
City	Istanbul
Period	11/12/14 → 11/12/14

Keywords

Multimodal
Presentation skills
Video features

ASJC Scopus subject areas

Computer Science Applications
Education

Access to Document

10.1145/2666633.2666641

Cite this

Echeverría, V., Avendaño, A., Chiluiza, K., Vásquez, A., & Ochoa, X. (2014). Presentation skills estimation based on video and kinect data analysis. In MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014 (pp. 53-60). (MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014). Association for Computing Machinery. https://doi.org/10.1145/2666633.2666641

Presentation skills estimation based on video and kinect data analysis. / Echeverría, Vanessa; Avendaño, Allan; Chiluiza, Katherine et al.
MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014. Association for Computing Machinery, 2014. p. 53-60 (MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Echeverría, V, Avendaño, A, Chiluiza, K, Vásquez, A & Ochoa, X 2014, Presentation skills estimation based on video and kinect data analysis. in MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014. MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014, Association for Computing Machinery, pp. 53-60, 3rd Multimodal Learning Analytics Workshop and Grand Challenges, MLA 2014, Istanbul, Turkey, 11/12/14. https://doi.org/10.1145/2666633.2666641

Echeverría V, Avendaño A, Chiluiza K, Vásquez A, Ochoa X. Presentation skills estimation based on video and kinect data analysis. In MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014. Association for Computing Machinery. 2014. p. 53-60. (MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014). doi: 10.1145/2666633.2666641

Echeverría, Vanessa ; Avendaño, Allan ; Chiluiza, Katherine et al. / Presentation skills estimation based on video and kinect data analysis. MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014. Association for Computing Machinery, 2014. pp. 53-60 (MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014).

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abstract = "This paper identifies, by means of video and Kinect data, a set of predictors that estimate the presentation skills of 448 individual students. Two evaluation criteria were predicted: eye contact and posture and body language. Machine-learning evaluations resulted in models that predicted the perfor- mance level (good or poor) of the presenters with 68% and 63% of correctly classified instances, for eye contact and postures and body language criteria, respectively. Furthermore, the results suggest that certain features, such as arms movement and smoothness, provide high significance on predicting the level of development for presentation skills. The paper finishes with conclusions and related ideas for future work.",

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Presentation skills estimation based on video and kinect data analysis

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Keywords

ASJC Scopus subject areas

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