APIs for IPAs? Towards End-User Tailoring of Intelligent Personal Assistants

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Title: APIs for IPAs? Towards End-User Tailoring of Intelligent Personal Assistants
Authors: Rough, DanielCowan, Benjamin R.
Permanent link: http://hdl.handle.net/10197/12032
Date: 14-Aug-2020
Online since: 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.
Funding Details: Trinity College Dublin (TCD)
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2020 IEEE
Keywords: Human computer interactionIntelligent agents
Other versions: https://conf.researchr.org/home/vlhcc2020
Language: en
Status of Item: Peer reviewed
Is 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: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Information and Communication Studies Research Collection

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