Research project

VA-PEPR: Voice Assistants – People Experiences, Practices and Routines

No other technology is spreading as rapidly in the home as voice assistants (VAs). The interdisciplinary project shall increase the general awareness about the social, societal and philosophical implications of VAs and contribute to guidelines and policy recommendations concerning the development, design and deployment of VAs, including how to deal with users’ concerns about privacy and data security associated with the use of VAs.

Siri, Alexa, Google Assistant and Cortana have conquered living rooms, bedrooms and kitchens by becoming accessible via smart speakers such as Amazon Echo, Apple HomePod and Google Home.

The few existing surveys about the use of VAs in Switzerland have been conducted by consultants, tech companies or providers and have primarily a business perspective. Insights into the use of VAs in home settings are badly missing.

The project will conduct an interdisciplinary study on how people shape and organize their domestic lives in the presence of VAs. It will investigate the impact VAs have on everyday practices and routines as well as on the interaction and social relationships between the members of a household.

The study will generate novel insights into the emerging issues associated with VA use in Switzerland and beyond. It will advance the state of the art through its focus on the domestic set-up, user experience, and ethical issues. The scientific findings will be translated into guidance for users, developers, designers and service providers in business and industry. In collaboration with the Mozilla Foundation, the research team will continuously share and discuss its findings with an international community of experts.

Project-Homepage: https://sites.hslu.ch/va-pepr/en/

 

Installation in Form einer grossen Wand, mit welcher die Spracherkennung mit Künstlicher Intelligenz dargestellt und selbst erlebt werden kann.
«Voice Matters» heisst die interaktive Installation, die digitale Sprachtechnologien mit den Fähigkeiten eines Large Language Models kombiniert. Sie wird hier im Rahmen des «Inspiration Day» der Ehemaligen-Organisation alumniOST präsentiert. Bild: Donato Caspari.
ein Hörtrichter als Symbol für das Mikrofon, welche im Zusammenhang mit Spracherkennung unauffällig Daten aufzeichnet
Ein Hörtrichter als Symbol für das Mikrofon, welche im Zusammenhang mit Spracherkennung unauffällig Daten aufzeichnet.

Duration: 01.01.2020 - 31.12.2023

Funding:

Swiss National Science Foundation, Sinergia

Partner:

Hochschule Luzern, Northumbria University Newcastle, Mozilla Foundation