System Feature Awareness and Retrieval Strategies in the Use of System Feature Awareness and Retrieval Strategies in the Use of Voice-Activated Devices Voice-Activated Devices

Jean-Charles Pillet (), Kevin Carillo (), Claudio Vitari () and Federico Pigni ()
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Jean-Charles Pillet: TBS - Toulouse Business School
Kevin Carillo: TBS - Toulouse Business School
Claudio Vitari: CERGAM de Toulon - Centre d'Études et de Recherche en Gestion d'Aix-Marseille/Equipe de recherche de Toulon - CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon - IAE Toulon - Institut d'Administration des Entreprises (IAE) - Toulon - UTLN - Université de Toulon, LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique
Federico Pigni: EESC-GEM Grenoble Ecole de Management

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Abstract: Users rarely take full advantage of the unprecedented possibilities offered by IT in the post-adoptive stage of use, creating a feature-use paradox. This paradox is particularly pronounced in the context of voiceactivated devices (VADs), such as smart voice assistants, as VADs require users to rely entirely on memory when interacting with them. In this setting, we theorize that users' ability to recall which system features are available is crucial for effectively engaging with VADs and can thus shed light on the feature-use paradox. We define IT Feature Awareness in the context of VADs by adapting the brand awareness concept from marketing research, and we develop a conceptual model rooted in adaptive system use theory that captures the expected impact of IT feature awareness on innovative use behaviors. We conclude this workin-progress by outlining our data collection plans and expected contribution to the post-adoptive IT use stream of the IS literature.

Keywords: Awareness; Cognition; Feature-centric; Adaptive system use; Post-adoption (search for similar items in EconPapers)
Date: 2025-08-14
Note: View the original document on HAL open archive server: https://hal.science/hal-05251795v1
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Published in AMCIS Proceedings, Aug 2025, Montréal, Canada

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