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Conference Papers Year : 2022

Trustworthy automation for large-scale collaboration: a proposed exploratory study

Automatisation digne de confiance de la collaboration à grande échelle : proposition d'étude exploratoire

Abstract

With collaboration happening on an ever-larger scale, problems arise. Automation is a possible technology that could help make large-scale collaborations more efficient. We interest ourselves in how automation integration can be done without introducing additional troubles and propose a research protocol to investigate the effects of automation on collaboration with regard to trust.
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Dates and versions

hal-03697875 , version 1 (17-06-2022)

Identifiers

  • HAL Id : hal-03697875 , version 1

Cite

Clélie Amiot, François Charoy, Jérôme Dinet. Trustworthy automation for large-scale collaboration: a proposed exploratory study. AutomationXP22: Engaging with Automation, Workshop at CHI'22, Apr 2022, New Orleans (Louisiana), United States. ⟨hal-03697875⟩
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