HAI Alice - An Information-Providing Closed-Domain Dialog Corpus

Jelte Barachia van Waterschoot; Guillaume Dubuisson Duplessis; Lorenzo  Gatti; Merijn  Bruijnes; Dirk K.J. Heylen

HAI Alice - An Information-Providing Closed-Domain Dialog Corpus

Jelte Barachia van Waterschoot, Guillaume Dubuisson Duplessis, Lorenzo Gatti, Merijn Bruijnes, Dirk K.J. Heylen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

The contribution of this paper is twofold: 1) we provide a public corpus for Human-Agent Interaction (where the agent is controlled by a Wizard of Oz) and 2) we show a study on verbal alignment in Human-Agent Interaction, to exemplify the corpus' use. In our recordings for the Human-Agent Interaction Alice-corpus (HAI Alice-corpus), participants talked to a wizarded agent, who provided them with information about the book Alice in Wonderland and its author.
The wizard had immediate and almost full control over the agent's verbal and nonverbal behavior, as the wizard provided the agent's speech through his own voice and his facial expressions were directly copied onto the agent. The agent's hand gestures were controlled through a button interface.
Data was collected to create a corpus with unexpected situations, such as misunderstandings, (accidental) false information, and interruptions. The HAI Alice-corpus consists of transcribed audio-video recordings of 15 conversations (more than 900 utterances) between users and the wizarded agent. As a use-case example, we measured the verbal alignment between the user and the agent. The paper contains information about the setup of the data collection, the unexpected situations and a description of our verbal alignment study.

Original language	English
Title of host publication	Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Editors	Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Place of Publication	Miyazaki
Publisher	European Language Resources Association (ELRA)
Pages	2746-2752
Number of pages	7
Edition	11
ISBN (Electronic)	9791095546009
Publication status	Published - 9 May 2018
Event	11th International Conference on Language Resources and Evaluation 2018 - Phoenix Seagaia Resort, Miyazaki, Japan Duration: 7 May 2018 → 12 May 2018 Conference number: 11 http://lrec2018.lrec-conf.org/en/

Conference

Conference	11th International Conference on Language Resources and Evaluation 2018
Abbreviated title	LREC 2018
Country/Territory	Japan
City	Miyazaki
Period	7/05/18 → 12/05/18
Internet address	http://lrec2018.lrec-conf.org/en/

Keywords

Corpus
Human-Agent Interaction
Wizard of Oz
Closed Domain
Information-Providing
Unexpected Situations
Verbal Alignment

Access to Document

LREC 2018 - FinalFinal published version, 1.04 MBLicence: CC BY-NC

https://hal.archives-ouvertes.fr/hal-01782261

HAI Alice-corpus
van Waterschoot, J. B. (Creator), Dubuisson Duplessis, G. (Researcher), Gatti, L. (Researcher), Bruijnes, M. (Researcher) & Heylen, D. K. J. (Supervisor), LREC, May 2018
http://lrec2018.lrec-conf.org/sharedlrs2018/429_res_1.xml
Dataset

Cite this

van Waterschoot, J. B., Dubuisson Duplessis, G., Gatti, L., Bruijnes, M., & Heylen, D. K. J. (2018). HAI Alice - An Information-Providing Closed-Domain Dialog Corpus. In N. Calzolari, K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, S. Piperidis, & T. Tokunaga (Eds.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (11 ed., pp. 2746-2752). Article 429 European Language Resources Association (ELRA). https://hal.archives-ouvertes.fr/hal-01782261

van Waterschoot, Jelte Barachia ; Dubuisson Duplessis, Guillaume ; Gatti, Lorenzo et al. / HAI Alice - An Information-Providing Closed-Domain Dialog Corpus. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). editor / Nicoletta Calzolari ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Koiti Hasida ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Hélène Mazo ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis ; Takenobu Tokunaga. 11. ed. Miyazaki : European Language Resources Association (ELRA), 2018. pp. 2746-2752

@inproceedings{27eb248359874a43bd6f55ee6ac3a39e,

title = "HAI Alice - An Information-Providing Closed-Domain Dialog Corpus",

abstract = "The contribution of this paper is twofold: 1) we provide a public corpus for Human-Agent Interaction (where the agent is controlled by a Wizard of Oz) and 2) we show a study on verbal alignment in Human-Agent Interaction, to exemplify the corpus' use. In our recordings for the Human-Agent Interaction Alice-corpus (HAI Alice-corpus), participants talked to a wizarded agent, who provided them with information about the book Alice in Wonderland and its author.The wizard had immediate and almost full control over the agent's verbal and nonverbal behavior, as the wizard provided the agent's speech through his own voice and his facial expressions were directly copied onto the agent. The agent's hand gestures were controlled through a button interface.Data was collected to create a corpus with unexpected situations, such as misunderstandings, (accidental) false information, and interruptions. The HAI Alice-corpus consists of transcribed audio-video recordings of 15 conversations (more than 900 utterances) between users and the wizarded agent. As a use-case example, we measured the verbal alignment between the user and the agent. The paper contains information about the setup of the data collection, the unexpected situations and a description of our verbal alignment study.",

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author = "{van Waterschoot}, {Jelte Barachia} and {Dubuisson Duplessis}, Guillaume and Lorenzo Gatti and Merijn Bruijnes and Heylen, {Dirk K.J.}",

year = "2018",

month = may,

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editor = "Nicoletta Calzolari and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H{\'e}l{\`e}ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga",

booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)",

publisher = "European Language Resources Association (ELRA)",

edition = "11",

note = "11th International Conference on Language Resources and Evaluation 2018, LREC 2018 ; Conference date: 07-05-2018 Through 12-05-2018",

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van Waterschoot, JB, Dubuisson Duplessis, G, Gatti, L, Bruijnes, M & Heylen, DKJ 2018, HAI Alice - An Information-Providing Closed-Domain Dialog Corpus. in N Calzolari, K Choukri, C Cieri, T Declerck, S Goggi, K Hasida, H Isahara, B Maegaard, J Mariani, H Mazo, A Moreno, J Odijk, S Piperidis & T Tokunaga (eds), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). 11 edn, 429, European Language Resources Association (ELRA), Miyazaki, pp. 2746-2752, 11th International Conference on Language Resources and Evaluation 2018, Miyazaki, Japan, 7/05/18. <https://hal.archives-ouvertes.fr/hal-01782261>

HAI Alice - An Information-Providing Closed-Domain Dialog Corpus. / van Waterschoot, Jelte Barachia; Dubuisson Duplessis, Guillaume; Gatti, Lorenzo et al.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). ed. / Nicoletta Calzolari; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Koiti Hasida; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Hélène Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis; Takenobu Tokunaga. 11. ed. Miyazaki: European Language Resources Association (ELRA), 2018. p. 2746-2752 429.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - HAI Alice - An Information-Providing Closed-Domain Dialog Corpus

AU - van Waterschoot, Jelte Barachia

AU - Dubuisson Duplessis, Guillaume

AU - Gatti, Lorenzo

AU - Bruijnes, Merijn

AU - Heylen, Dirk K.J.

N1 - Conference code: 11

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Y1 - 2018/5/9

N2 - The contribution of this paper is twofold: 1) we provide a public corpus for Human-Agent Interaction (where the agent is controlled by a Wizard of Oz) and 2) we show a study on verbal alignment in Human-Agent Interaction, to exemplify the corpus' use. In our recordings for the Human-Agent Interaction Alice-corpus (HAI Alice-corpus), participants talked to a wizarded agent, who provided them with information about the book Alice in Wonderland and its author.The wizard had immediate and almost full control over the agent's verbal and nonverbal behavior, as the wizard provided the agent's speech through his own voice and his facial expressions were directly copied onto the agent. The agent's hand gestures were controlled through a button interface.Data was collected to create a corpus with unexpected situations, such as misunderstandings, (accidental) false information, and interruptions. The HAI Alice-corpus consists of transcribed audio-video recordings of 15 conversations (more than 900 utterances) between users and the wizarded agent. As a use-case example, we measured the verbal alignment between the user and the agent. The paper contains information about the setup of the data collection, the unexpected situations and a description of our verbal alignment study.

AB - The contribution of this paper is twofold: 1) we provide a public corpus for Human-Agent Interaction (where the agent is controlled by a Wizard of Oz) and 2) we show a study on verbal alignment in Human-Agent Interaction, to exemplify the corpus' use. In our recordings for the Human-Agent Interaction Alice-corpus (HAI Alice-corpus), participants talked to a wizarded agent, who provided them with information about the book Alice in Wonderland and its author.The wizard had immediate and almost full control over the agent's verbal and nonverbal behavior, as the wizard provided the agent's speech through his own voice and his facial expressions were directly copied onto the agent. The agent's hand gestures were controlled through a button interface.Data was collected to create a corpus with unexpected situations, such as misunderstandings, (accidental) false information, and interruptions. The HAI Alice-corpus consists of transcribed audio-video recordings of 15 conversations (more than 900 utterances) between users and the wizarded agent. As a use-case example, we measured the verbal alignment between the user and the agent. The paper contains information about the setup of the data collection, the unexpected situations and a description of our verbal alignment study.

KW - Corpus

KW - Human-Agent Interaction

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KW - Unexpected Situations

KW - Verbal Alignment

M3 - Conference contribution

SP - 2746

EP - 2752

BT - Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

A2 - Calzolari, Nicoletta

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Hasida, Koiti

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Hélène

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

A2 - Tokunaga, Takenobu

PB - European Language Resources Association (ELRA)

CY - Miyazaki

T2 - 11th International Conference on Language Resources and Evaluation 2018

Y2 - 7 May 2018 through 12 May 2018

ER -

van Waterschoot JB, Dubuisson Duplessis G, Gatti L, Bruijnes M, Heylen DKJ. HAI Alice - An Information-Providing Closed-Domain Dialog Corpus. In Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T, editors, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). 11 ed. Miyazaki: European Language Resources Association (ELRA). 2018. p. 2746-2752. 429

HAI Alice - An Information-Providing Closed-Domain Dialog Corpus

Abstract

Conference

Keywords

Access to Document

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Datasets

HAI Alice-corpus

Cite this