AppDialogue: Multi-App Dialogues for Intelligent Assistants
Ming Sun, Yun-Nung Chen, Zhenhao Hua, Yulian Tamres-Rudnicky, Arnab Dash, Alexander Rudnicky
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.- Anthology ID:
- L16-1499
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 3127–3132
- Language:
- URL:
- https://aclanthology.org/L16-1499
- DOI:
- Cite (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).
- Cite (Informal):
- AppDialogue: Multi-App Dialogues for Intelligent Assistants (Sun et al., LREC 2016)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/L16-1499.pdf