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Alexa, We Need to Talk: A Data Literacy Approach on Voice Assistants

  • Voice assistants (VA) collect data about users’ daily life including interactions with other connected devices, musical preferences, and unintended interactions. While users appreciate the convenience of VAs, their understanding and expectations of data collection by vendors are often vague and incomplete. By making the collected data explorable for consumers, our research-through-design approach seeks to unveil design resources for fostering data literacy and help users in making better informed decisions regarding their use of VAs. In this paper, we present the design of an interactive prototype that visualizes the conversations with VAs on a timeline and provides end users with basic means to engage with data, for instance allowing for filtering and categorization. Based on an evaluation with eleven households, our paper provides insights on how users reflect upon their data trails and presents design guidelines for supporting data literacy of consumers in the context of VAs.

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Metadaten
Document Type:Conference Object
Language:English
Author:Dominik Pins, Timo Jakobi, Alexander Boden, Fatemeh Alizadeh, Volker Wulf
Parent Title (English):Ju, Oehlberg et al. (Eds.): DIS '21: Designing Interactive Systems Conference 2021, Virtual Event, USA, 28 June - 2 July, 2021
Number of pages:13
First Page:495
Last Page:507
ISBN:978-1-4503-8476-6
DOI:https://doi.org/10.1145/3461778.3462001
Publisher:Association for Computing Machinery
Place of publication:New York, NY, USA
Date of first publication:2021/06/28
Copyright:© 2021 Association for Computing Machinery. Abstracting with credit is permitted.
Funding:The Project is supported by funds of the Federal Ministry of Justice andConsumer Protection (BMJV) based on a decision of the Parliamentof the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the innovation support programme.
Keyword:Data literacy; Data visualization; Voice Assistants
Departments, institutes and facilities:Fachbereich Wirtschaftswissenschaften
Institut für Verbraucherinformatik (IVI)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten
Entry in this database:2021/06/30