Towards Solving the Personalization-Privacy Paradox for Smart Personal Assistants

The digital age has yielded information systems (IS) that reduce the complexity of our everyday lives. As such, smart personal assistants (SPAs) like Amazon’s Alexa or Apple’s Siri combine the comfort of intuitive natural language interaction with the utility of personalized and situation-dependent information and service provision. These systems collect and analyze users’ personal data which raises information privacy concerns. The situational trade-off between enjoying personalization benefits and taking privacy risks is known as personalization-privacy paradox (PPP). Although approaches exist to solve the PPP by system design, SPAs novelty and technical sophistication require to research for adequate solutions. Hence, this research-in-progress report shows where we stand on our way towards solving the PPP for SPAs.