Intelligent Technology for an Aging Population: The Use of AI to Assist Elders with Cognitive Impairment

By Martha E. Pollack. 2005

566 citations recorded by the source corpus.

Subfields: Human-Computer Interaction, Medical & Health AI

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Human-Computer Interaction

1. Diane Joyce Cook
2. Rajiv Khosla
3. Qiang Yang
4. Alan K. Mackworth
5. Mei-Tai Chu
6. Sebastian Stein
7. Marcel Heerink
8. Sajal K. Das

In Medical & Health AI

1. Diane Joyce Cook
2. Qiang Yang
3. Alan K. Mackworth
4. Sebastian Stein
5. Marcel Heerink
6. Sajal K. Das
7. Stephen J. McKenna

Citations in the corpus

• Sensor-Based Abnormal Human-Activity Detection (2008, background): “If a safe and smart house can be instrumented with a sensor network, the occupants would have a better chance to live safely and independently [21], especially when they suffer from life-threatening diseases such as Parkinson's Disease or Alzheimer's disease.”
• How smart are our environments? An updated look at the state of the art (2007, background): “Pollack [68] categorizes such assistive technology as meeting the goals of assurance (making sure the individual is safe and performing routine activities), support (helping individual compensate for impairment), and assessment (determining physical or cognitive status).”
• Agents, Bodies, Constraints, Dynamics, and Evolution (2009, methodology): “26 AI MAGAZINE Finally, assistive technology for the disabled and aging is being pioneered by researchers such as Martha Pollack (2005) and Henry Kautz (Liu et al. 2006).”
• Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model (2010, unknown): “These systems are expected to enable elderly people to live independently and make more efficient use of human care services [2].”
• Socially Assistive Robots in Elderly Care: A Mixed-Method Systematic Literature Review (2014, background): “Pearl is an autonomous robot developed to aid the elderly as part of the Nursebot project at Carnegie Melon University (Pollack, 2005).”
• Combining embedded accelerometers with computer vision for recognizing food preparation activities (2013, background): “Ubiquitous computing has great potential in addressing the challenges of an aging population by providing automatic situated support for people with cognitive impairments [7, 8, 20].”
• Assistive social robots in elderly care: a review (2009, background): “ICT-technology and robotics are developing quickly nowadays, resulting in products that have the potential to play an important role in assisting elderly [3].”