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The idiap wolf corpus: exploring group behaviour in a competitive role-playing game

Published: 25 October 2010 Publication History

Abstract

In this paper we present the Idiap Wolf Database. This is a audio-visual corpus containing natural conversational data of volunteers who took part in a competitive role-playing game. Four groups of 8-12 people were recorded. In total, just over 7 hours of interactive conversational data was collected. The data has been annotated in terms of the roles and outcomes of the game. There are 371 examples of different roles played over 50 games. Recordings were made with headset microphones, an 8-microphone array, and 3 video cameras and are fully synchronised. The novelty of this data is that some players have deceptive roles and the participants do not know what roles other people play.

References

[1]
C. M. Bishop. Pattern Recognition and Machine Learning. Springer, August 2006.
[2]
G. Chittaranjan and H. Hung. Are you a werewolf? detecting deceptive roles and outcomes in a conversational role-playing game. In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2010.
[3]
A. De Chevigne and H. Kawahara. Yin, a fundamental frequency estimator for speech and music. Acoustical Society of America, 2002.
[4]
W. Dong, B. Lepri, A. Cappelletti, A. S. Pentland, F. Pianesi, and M. Zancanaro. Using the influence model to recognize functional roles in meetings. In ICMI '07: Proceedings of the 9th international conference on Multimodal interfaces, pages 271--278, New York, NY, USA, 2007. ACM.
[5]
D. Gatica-Perez. Automatic nonverbal analysis of social interaction in small groups: A review. Image Vision Comput., 27(12):1775--1787, 2009.
[6]
D. Gatica-Perez, I. McCowan, D. Zhang, and S. Bengio. Detecting group interest-level in meetings. In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Philadelphia, Mar. 2005.
[7]
J. Hirschberg, S. Benus, and et. al. Distinguishing deceptive and non-deceptive speech. Proc. Eurospeech, 2005.
[8]
D. Jayagopi, H. Hung, C. Yeo, and D. GaticaPerez. Modeling dominance in group conversations from non-verbal activity cues. Special issue on Multimedia in IEEE Trans. on Audio, Speech and Language Processing.
[9]
N. Mana, B. Lepri, P. Chippendale, A. Cappelletti, F. Pianesi, P. Svaizer, and M. Zancanaro. Multimodal corpus of multi-party meetings for automatic social behavior analysis and personality traits detection. In TMR '07: Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information, pages 9--14, New York, NY, USA, 2007. ACM.
[10]
N. Morgon. mrate estimater. http://www.icsi.berkeley.edu/ftp/global/pub/speech/morgan/, Accessed 25/07/2009.
[11]
K. Otsuka, H. Sawada, and J. Yamato. Automatic inference of cross-modal nonverbal interactions in multiparty conversations: "who responds to whom, when, and how?" from gaze, head gestures, and utterances. In International conference on Multimodal Interfaces, pages 255--262, New York, NY, USA, 2007. ACM.
[12]
A. Plotkin. Werewolf party game. http://www.eblong.com/zarf/werewolf.html, Accessed August 27, 2009.
[13]
H. Salamin, S. Favre, and A. Vinciarelli. Automatic role recognition in multiparty recordings: using social affiliation networks for feature extraction. IEEE Transactions on Multimedia, 11(7):1373--1380, 2009.
[14]
A. Vinciarelli, M. Pantic, and H. Bourlard. Social signal processing: Survey of an emerging domain. Image and Vision Computing, December 2008.

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cover image ACM Conferences
MM '10: Proceedings of the 18th ACM international conference on Multimedia
October 2010
1836 pages
ISBN:9781605589336
DOI:10.1145/1873951
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 ACM 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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Published: 25 October 2010

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Author Tags

  1. corpus
  2. deception
  3. human behaviour
  4. multi-party

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MM '10
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MM '10: ACM Multimedia Conference
October 25 - 29, 2010
Firenze, Italy

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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  • (2024)The IDEA of Us: An Identity-Aware Architecture for Autonomous SystemsACM Transactions on Software Engineering and Methodology10.1145/365443933:6(1-38)Online publication date: 28-Jun-2024
  • (2024)Applications of AI-Enabled Deception Detection Using Video, Audio, and Physiological Data: A Systematic ReviewIEEE Access10.1109/ACCESS.2024.346282512(135207-135240)Online publication date: 2024
  • (2024)A semi-supervised high-quality pseudo labels algorithm based on multi-constraint optimization for speech deception detectionComputer Speech & Language10.1016/j.csl.2023.10158685(101586)Online publication date: Apr-2024
  • (2023)An Overview of Advancements in Lie Detection Technology in SpeechInternational Journal of Information Technologies and Systems Approach10.4018/IJITSA.31693516:2(1-24)Online publication date: 20-Jan-2023
  • (2023)A Semi-Supervised Speech Deception Detection Algorithm Combining Acoustic Statistical Features and Time-Frequency Two-Dimensional FeaturesBrain Sciences10.3390/brainsci1305072513:5(725)Online publication date: 26-Apr-2023
  • (2023)Detecting ulterior motives from verbal cues in group deliberationsFrontiers in Psychology10.3389/fpsyg.2023.116622514Online publication date: 24-May-2023
  • (2023)Development of a Chinese werewolf deception databaseFrontiers in Psychology10.3389/fpsyg.2022.104742713Online publication date: 9-Jan-2023
  • (2023) Mafia : An Experiential Learning Game for OB Topics Management Teaching Review10.1177/2379298123118532710:1(35-42)Online publication date: 8-Jul-2023
  • (2023)Speech Deception Detection Based on EMD and Temporal Neural NetworkComputational Intelligence and Neuroscience10.1155/2023/66708692023Online publication date: 1-Jan-2023
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