Cyber Physical Privacy for Independent Living and Ageing
Research Programme

Cyber Physical Privacy for Independent Living and Ageing

(2020-2024)
Voice Assistants Privacy Configuration Smart Home Co-Design Conversational AI
Internet of Things (IoT) Infrastructure / Systems (IS) Privacy (P) Human Computer Interaction (HCI)

Project Overview

Co-designs privacy tooling and conversational assistants that help older adults manage smart-home data while maintaining independence.

Smart home technologies offer significant benefits for older adults and vulnerable populations, enabling independent living through remote monitoring and automated assistance. However, privacy concerns significantly deter elderly adoption of these monitoring technologies. Many older adults worry about how smart devices collect and share their personal data, creating barriers to technology acceptance that could otherwise improve their quality of life.

This project addresses these concerns by augmenting existing smart home systems with improved privacy configuration mechanisms. The research pursues three main objectives: reviewing privacy-aware IoT design approaches for older people, co-designing IoT privacy solutions that support successful ageing, and creating and evaluating privacy toolkits that enhance older adult experiences. Through co-design workshops and prototypes such as a voice-enabled privacy assistant and physical privacy artifacts, the project helps residents configure data practices, understand what information is being collected, and reinforce trust between families, carers, and technology providers.

Team

Partners

Outcomes

Conference

Enhancing Privacy Awareness and Digital Skills in Smart Home Device Users with Privacy Assistant

Reem Aldhafiri, Georgina Powell, Elizabeth Smith, and Charith Perera,

Cyberpsychology Section Annual Conference, July 2023.

Conference

Voice-Enabled Privacy Assistant Towards Facilitating Successful Ageing in Smart Homes

Reem Aldhafiri, Georgina Powell, Elizabeth Smith, and Charith Perera,

IEEE PerCom Workshops, 2023, pp. 343–345.