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APIs for IPAs? Towards End-User Tailoring of Intelligent Personal Assistants
Author(s)
Date Issued
2020-08-14
Date Available
2021-03-11T12:19:25Z
Abstract
Integrated into smartphones or smart speakers, Intelligent Personal Assistants (IPAs) have grown into the most prevalent example of speech-based interfaces today. Enabling hands-free completion of tasks such as checking the weather, playing music, or controlling smart devices, IPAs have become a central feature of millions of homes. Yet, end-users are faced with barriers to understanding their `black box' devices, and a lack of opportunity to engage in end-user development (EUD) activities. Our current work considers the state of existing tools and platforms for development of IPAs, the key challenges to be overcome, and the potential benefits of doing so.
Other Sponsorship
Trinity College Dublin (TCD)
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2020 IEEE
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Homer, M., Hermans, F., Tanimoto, S. and Anslow, C. Proceedings: 2020 IEEE Symposium on Visual Languages and Human Centric Computing (VL/HCC)
Conference Details
The 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2020), Dunedin, New Zealand, 10-14 August 2020
This item is made available under a Creative Commons License
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