@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",
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 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
%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).