LifeLine dialogues with Roberta

A. Lopez, A. Ratni, T.N. Trong, J.M. Olaso, S. Montenegro, M. Lee, F. Haider, S. Schlogl, G. Chollet, K. Jokinen, D. Petrovska-Delacretaz, H. Sansen, M.I. Torres

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

This paper describes work on dialogue data collection and dialogue
system design for personal assistant humanoid robots undertaken
at eNTERFACE 2016. The emphasis has been on the system's speech capabilities
and dialogue modeling of what we call LifeLine Dialogues, i.e.
dialogues that help people tell stories about their lives. The main goal
behind this type of application is to help elderly people exercise their
speech and memory capabilities. The system further aims at acquiring a
good level of knowledge about the person's interests and thus is expected
to feature open-domain conversations, presenting useful and interesting
information to the user. The novel contributions of this work are: (1) a

exible spoken dialogue system that extends the Ravenclaw-type agentbased
dialogue management model with topic management and multimodal
capabilities, especially with face recognition technologies, (2) a
collection of WOZ-data related to initial encounters and presentation
of information to the user, and (3) the establishment of a closer conversational
relationship with the user by utilizing additional data (e.g.
context, dialogue history, emotions, user goals, etc.).
TaalEngels
TitelFuture and Emerging Trends in Language Technology. Machine Learning and Big Data
SubtitelSecond International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers
RedacteurenJosé F. Quesada, Francisco-Jesús Martín Mateos, Teresa López Soto
Plaats van productieCham
UitgeverijSpringer
Hoofdstuk6
Pagina's73-85
Aantal pagina's13
ISBN van elektronische versie978-3-319-69365-1
ISBN van geprinte versie978-3-319-69364-4
DOI's
StatusGepubliceerd - 29 okt 2017
EvenementSecond International Workshop Future and Emerging Trends in Language Technology - Seville , Spanje
Duur: 30 nov 20162 dec 2016

Congres

CongresSecond International Workshop Future and Emerging Trends in Language Technology
Verkorte titelFETLT 2016
LandSpanje
StadSeville
Periode30/11/162/12/16

Vingerafdruk

Face recognition
Systems analysis
Robots
Data storage equipment

Trefwoorden

    Citeer dit

    Lopez, A., Ratni, A., Trong, T. N., Olaso, J. M., Montenegro, S., Lee, M., ... Torres, M. I. (2017). LifeLine dialogues with Roberta. In J. F. Quesada, F-J. M. Mateos, & T. López Soto (editors), Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers (blz. 73-85). Cham: Springer. DOI: 10.1007/978-3-319-69365-1_6
    Lopez, A. ; Ratni, A. ; Trong, T.N. ; Olaso, J.M. ; Montenegro, S. ; Lee, M. ; Haider, F. ; Schlogl, S. ; Chollet, G. ; Jokinen, K. ; Petrovska-Delacretaz, D. ; Sansen, H. ; Torres, M.I./ LifeLine dialogues with Roberta. Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers. redacteur / José F. Quesada ; Francisco-Jesús Martín Mateos ; Teresa López Soto. Cham : Springer, 2017. blz. 73-85
    @inproceedings{32106d8d68fa4171baa1ffb6795fd906,
    title = "LifeLine dialogues with Roberta",
    abstract = "This paper describes work on dialogue data collection and dialoguesystem design for personal assistant humanoid robots undertakenat eNTERFACE 2016. The emphasis has been on the system's speech capabilitiesand dialogue modeling of what we call LifeLine Dialogues, i.e.dialogues that help people tell stories about their lives. The main goalbehind this type of application is to help elderly people exercise theirspeech and memory capabilities. The system further aims at acquiring agood level of knowledge about the person's interests and thus is expectedto feature open-domain conversations, presenting useful and interestinginformation to the user. The novel contributions of this work are: (1) aexible spoken dialogue system that extends the Ravenclaw-type agentbaseddialogue management model with topic management and multimodalcapabilities, especially with face recognition technologies, (2) acollection of WOZ-data related to initial encounters and presentationof information to the user, and (3) the establishment of a closer conversationalrelationship with the user by utilizing additional data (e.g.context, dialogue history, emotions, user goals, etc.).",
    keywords = "dialogue system, speech input, agent-based dialogue management, topic trees",
    author = "A. Lopez and A. Ratni and T.N. Trong and J.M. Olaso and S. Montenegro and M. Lee and F. Haider and S. Schlogl and G. Chollet and K. Jokinen and D. Petrovska-Delacretaz and H. Sansen and M.I. Torres",
    year = "2017",
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    editor = "Quesada, {Jos{\'e} F.} and Mateos, {Francisco-Jes{\'u}s Mart{\'i}n } and {L{\'o}pez Soto}, Teresa",
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    Lopez, A, Ratni, A, Trong, TN, Olaso, JM, Montenegro, S, Lee, M, Haider, F, Schlogl, S, Chollet, G, Jokinen, K, Petrovska-Delacretaz, D, Sansen, H & Torres, MI 2017, LifeLine dialogues with Roberta. in JF Quesada, F-JM Mateos & T López Soto (redactie), Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers. Springer, Cham, blz. 73-85, Seville , Spanje, 30/11/16. DOI: 10.1007/978-3-319-69365-1_6

    LifeLine dialogues with Roberta. / Lopez, A.; Ratni, A.; Trong, T.N.; Olaso, J.M.; Montenegro, S.; Lee, M.; Haider, F.; Schlogl, S.; Chollet, G.; Jokinen, K.; Petrovska-Delacretaz, D.; Sansen, H.; Torres, M.I.

    Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers. redactie / José F. Quesada; Francisco-Jesús Martín Mateos; Teresa López Soto. Cham : Springer, 2017. blz. 73-85.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    TY - GEN

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    AU - Lee,M.

    AU - Haider,F.

    AU - Schlogl,S.

    AU - Chollet,G.

    AU - Jokinen,K.

    AU - Petrovska-Delacretaz,D.

    AU - Sansen,H.

    AU - Torres,M.I.

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    N2 - This paper describes work on dialogue data collection and dialoguesystem design for personal assistant humanoid robots undertakenat eNTERFACE 2016. The emphasis has been on the system's speech capabilitiesand dialogue modeling of what we call LifeLine Dialogues, i.e.dialogues that help people tell stories about their lives. The main goalbehind this type of application is to help elderly people exercise theirspeech and memory capabilities. The system further aims at acquiring agood level of knowledge about the person's interests and thus is expectedto feature open-domain conversations, presenting useful and interestinginformation to the user. The novel contributions of this work are: (1) aexible spoken dialogue system that extends the Ravenclaw-type agentbaseddialogue management model with topic management and multimodalcapabilities, especially with face recognition technologies, (2) acollection of WOZ-data related to initial encounters and presentationof information to the user, and (3) the establishment of a closer conversationalrelationship with the user by utilizing additional data (e.g.context, dialogue history, emotions, user goals, etc.).

    AB - This paper describes work on dialogue data collection and dialoguesystem design for personal assistant humanoid robots undertakenat eNTERFACE 2016. The emphasis has been on the system's speech capabilitiesand dialogue modeling of what we call LifeLine Dialogues, i.e.dialogues that help people tell stories about their lives. The main goalbehind this type of application is to help elderly people exercise theirspeech and memory capabilities. The system further aims at acquiring agood level of knowledge about the person's interests and thus is expectedto feature open-domain conversations, presenting useful and interestinginformation to the user. The novel contributions of this work are: (1) aexible spoken dialogue system that extends the Ravenclaw-type agentbaseddialogue management model with topic management and multimodalcapabilities, especially with face recognition technologies, (2) acollection of WOZ-data related to initial encounters and presentationof information to the user, and (3) the establishment of a closer conversationalrelationship with the user by utilizing additional data (e.g.context, dialogue history, emotions, user goals, etc.).

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    Lopez A, Ratni A, Trong TN, Olaso JM, Montenegro S, Lee M et al. LifeLine dialogues with Roberta. In Quesada JF, Mateos F-JM, López Soto T, redacteurs, Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers. Cham: Springer. 2017. blz. 73-85. Beschikbaar vanaf, DOI: 10.1007/978-3-319-69365-1_6