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Related Experiment Video

Updated: Jun 4, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

AmI in good care? Developing design principles for ambient intelligent domotics for elderly.

Michiel Meulendijk1, Lidwien Van De Wijngaert, Sjaak Brinkkemper

  • 1Department of Information and Computing Sciences, Utrecht University, the Netherlands. m.meulendijk@alumni.cs.uu.nl

Informatics for Health & Social Care
|February 5, 2011
PubMed
Summary

Elderly individuals are more likely to adopt ambient intelligence (AmI) and domotics for independent living when they perceive tangible benefits. Psychological well-being, not physical condition, significantly influences their acceptance of smart home technology.

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Last Updated: Jun 4, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

  • Gerontology
  • Human-Computer Interaction
  • Smart Home Technology

Background:

  • Ambient Intelligence (AmI) and domotics offer solutions for elderly independence.
  • Older adults exhibit reluctance towards adopting technological aids for independent living.
  • Understanding adoption motivations is crucial for effective technology design.

Purpose of the Study:

  • Investigate elderly motivations for adopting AmI and domotics.
  • Propose design principles tailored to elderly preferences and experiences.
  • Identify factors influencing technology acceptance in older adults.

Main Methods:

  • Qualitative investigation of elderly motivations.
  • Analysis of preferences and experiences with AmI domotics.
  • Exploration of perceived psychological and physical impacts.

Main Results:

  • Elderly users are more receptive to tangible problems associated with AmI domotics than intangible ones.
  • Perceived psychological quality of life significantly influences technology adoption.
  • Physical conditions showed no noticeable impact on acceptance.

Conclusions:

  • Design principles for AmI domotics should prioritize tangible benefits and address user concerns.
  • Focus on enhancing psychological well-being is key to promoting adoption among the elderly.
  • Future research should explore strategies to bridge the gap between perceived benefits and actual user experience.