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Pervasive sensing for social connectedness

Pervasive sensing for social connectedness

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Global population ageing is an emerging challenge of the twenty-first century. In an era of pervasive computing (i.e. the proliferation of ever-present smart devices), governments, companies, and academic institutions are working together to develop and promote cutting-edge initiatives that sustain the quality of life and address the complexities and opportunities of an ageing world. In this chapter, we propose a user-centred approach within a multidisciplinary framework, which incorporates human-computer interaction, social science, signal processing, and pervasive computing, to inspire the design of a bidirectional context-aware system to support social connectedness between the elderly and their caregivers. Following a review of previous works on socio-technical awareness systems and human activity recognition models, we describe our user-driven methodological approach and demonstrate the value and potential benefits of bidirectional activity-based peripheral systems within ambient assisted living environments.

Chapter Contents:

  • Abstract
  • 3.1 Introduction
  • 3.1.1 Social isolation and loneliness as risk factors
  • 3.1.2 Ambient assisted living
  • 3.2 A user-centred approach for designing systems to support social connectedness
  • 3.2.1 A user-centred design process
  • 3.3 Context-aware systems for social connectedness
  • 3.4 Pervasive sensing and models for HAR
  • 3.5 A case study evaluating the HMM-SVM model
  • 3.6 Context-aware connectedness systems
  • 3.7 Experimental results
  • 3.7.1 Perceptions on context-aware solutions for social connectedness
  • 3.7.2 HAR-based activity displays for social connectedness
  • 3.8 Challenges
  • 3.9 Conclusion
  • Acknowledgements
  • References
  • Further reading
  • Data set
  • Biographies

Inspec keywords: user centred design; assisted living; ubiquitous computing; social sciences; human computer interaction; medical signal processing; geriatrics

Other keywords: bidirectional context-aware system; social connectedness; social science; user-centred approach; pervasive sensing; smart devices; signal processing; bidirectional activity-based peripheral systems; user-driven methodological approach; human-computer interaction; global population ageing; socio-technical awareness systems; ambient assisted living environments; pervasive computing; human activity recognition models; elderly caregivers; quality of life; multidisciplinary framework

Subjects: Mobile, ubiquitous and pervasive computing; User interfaces; Digital signal processing; Social and behavioural sciences computing; Biology and medical computing

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