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

Daniel Rough, Benjamin Cowan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publication2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
PublisherIEEE
Pages1-2
Number of pages2
ISBN (Electronic)9781728169019
ISBN (Print)9781728169026
DOIs
Publication statusPublished - 16 Jul 2020
Event 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - Dunedin, New Zealand
Duration: 11 Aug 202014 Aug 2020
https://conf.researchr.org/home/vlhcc2020

Conference

Conference 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
CountryNew Zealand
CityDunedin
Period11/08/2014/08/20
Internet address

Keywords

  • human computer interaction
  • intelligent agents

Fingerprint Dive into the research topics of 'Poster: APIs for IPAs? Towards End-User Tailoring of Intelligent Personal Assistants'. Together they form a unique fingerprint.

  • Cite this

    Rough, D., & Cowan, B. (2020). Poster: APIs for IPAs? Towards End-User Tailoring of Intelligent Personal Assistants. In 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 1-2). IEEE. https://doi.org/10.1109/VL/HCC50065.2020.9127267