Addressing accountability in highly autonomous virtual assistants

Fernando Galdon, Stephen Jia Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Building from a survey specifically developed to address the rising concerns of highly autonomous virtual assistants; this paper presents a multi-level taxonomy of accountability levels specifically adapted to virtual assistants in the context of Human-Human-Interaction (HHI). Based on research findings, the authors recommend the integration of the variable of accountability as capital in the development of future applications around highly automated systems. This element inserts a sense of balance in terms of integrity between users and developers enhancing trust in the interactive process. Ongoing work is being dedicated to further understand to which extent different contexts affect accountability in virtual assistants.

Original languageEnglish
Title of host publicationHuman Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019
EditorsTareq Ahram, Redha Taiar, Serge Colson, Arnaud Choplin
PublisherSpringer-Verlag
Pages10-14
Number of pages5
ISBN (Print)9783030256289
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes
Event1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019 - Nice, France
Duration: 22 Aug 201924 Aug 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1018
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019
Country/TerritoryFrance
CityNice
Period22/08/1924/08/19

Keywords

  • Accountability
  • Automation
  • Autonomy
  • Highly automated systems
  • Human factors
  • Human-systems integration
  • Systems engineering
  • Trust
  • Virtual assistant

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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