TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Pins, Dominik
A1  - Jakobi, Timo
A1  - Boden, Alexander
A1  - Alizadeh, Fatemeh
A1  - Wulf, Volker
T1  - Alexa, We Need to Talk: A Data Literacy Approach on Voice Assistants
T2  - Ju, Oehlberg et al. (Eds.): DIS '21: Designing Interactive Systems Conference 2021, Virtual Event, USA, 28 June - 2 July, 2021
N2  - 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.
KW  - Data visualization
KW  - Voice Assistants
KW  - Data literacy
SN  - 978-1-4503-8476-6
SB  - 978-1-4503-8476-6
U6  - https://doi.org/10.1145/3461778.3462001
DO  - https://doi.org/10.1145/3461778.3462001
SP  - 495
EP  - 507
S1  - 13
PB  - Association for Computing Machinery
CY  - New York, NY, USA
ER  -