Big data, smart homes and ambient assisted living.

Area of Science:

• Interdisciplinary research at the intersection of big data, smart homes, and ambient assisted living.

Background:

• The health and social care market adoption of IT solutions lags behind other sectors.
• Increasing use of big data introduces challenges and necessitates new approaches.

Purpose of the Study:

• To explore the influence of big data on smart home and ambient assisted living research.
• To identify key challenges and opportunities in this evolving field.

Main Methods:

• A scoping review of scientific literature from 2011-2014.
• Focus on publications related to smart homes, ambient assisted living, and big data.

Main Results:

• Need for a sustainable and trustworthy information chain for data transfer.
• Requirement for big data strategies and policies to manage decentralized information.
• Potential for innovative business models leveraging cloud computing, social media, and crowdsourcing.

Conclusions:

• Big data in smart homes and assisted living is crucial for IT developers and decision-makers.
• Future directions include improving data usability for managers, tailoring services, developing business models, and establishing privacy/security policies.