@inproceedings{sun-etal-2016-appdialogue,
title = "{A}pp{D}ialogue: Multi-App Dialogues for Intelligent Assistants",
author = "Sun, Ming and
Chen, Yun-Nung and
Hua, Zhenhao and
Tamres-Rudnicky, Yulian and
Dash, Arnab and
Rudnicky, Alexander",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1499",
pages = "3127--3132",
abstract = "Users will interact with an individual app on smart devices (e.g., phone, TV, car) to fulfill a specific goal (e.g. find a photographer), but users may also pursue more complex tasks that will span multiple domains and apps (e.g. plan a wedding ceremony). Planning and executing such multi-app tasks are typically managed by users, considering the required global context awareness. To investigate how users arrange domains/apps to fulfill complex tasks in their daily life, we conducted a user study on 14 participants to collect such data from their Android smart phones. This document 1) summarizes the techniques used in the data collection and 2) provides a brief statistical description of the data. This data guilds the future direction for researchers in the fields of conversational agent and personal assistant, etc. This data is available at \url{http://AppDialogue.com}.",
}
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%0 Conference Proceedings
%T AppDialogue: Multi-App Dialogues for Intelligent Assistants
%A Sun, Ming
%A Chen, Yun-Nung
%A Hua, Zhenhao
%A Tamres-Rudnicky, Yulian
%A Dash, Arnab
%A Rudnicky, Alexander
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F sun-etal-2016-appdialogue
%X Users will interact with an individual app on smart devices (e.g., phone, TV, car) to fulfill a specific goal (e.g. find a photographer), but users may also pursue more complex tasks that will span multiple domains and apps (e.g. plan a wedding ceremony). Planning and executing such multi-app tasks are typically managed by users, considering the required global context awareness. To investigate how users arrange domains/apps to fulfill complex tasks in their daily life, we conducted a user study on 14 participants to collect such data from their Android smart phones. This document 1) summarizes the techniques used in the data collection and 2) provides a brief statistical description of the data. This data guilds the future direction for researchers in the fields of conversational agent and personal assistant, etc. This data is available at http://AppDialogue.com.
%U https://aclanthology.org/L16-1499
%P 3127-3132
Markdown (Informal)
[AppDialogue: Multi-App Dialogues for Intelligent Assistants](https://aclanthology.org/L16-1499) (Sun et al., LREC 2016)
ACL
- Ming Sun, Yun-Nung Chen, Zhenhao Hua, Yulian Tamres-Rudnicky, Arnab Dash, and Alexander Rudnicky. 2016. AppDialogue: Multi-App Dialogues for Intelligent Assistants. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3127–3132, Portorož, Slovenia. European Language Resources Association (ELRA).