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Measuring engagement among older adults using a multidimensional approach to communication
Madeleine Jessica Radnan1, Weicong Li1, Catherine J Stevens1
1The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Penrith, NSW, Australia.
This study introduces a new multidimensional method to measure older adult engagement, analyzing verbal and non-verbal communication. This approach enhances the precision of engagement measurement in interventions for older adults, including those with dementia.
Area of Science:
- Gerontology and Cognitive Science
- Human-Computer Interaction
- Behavioral Psychology
Background:
- Accurate measurement of older adult engagement is crucial for evaluating intervention effectiveness.
- Current methods often focus on single behavioral dimensions, neglecting the complexity of engagement.
- A gap exists in analytical techniques that simultaneously quantify verbal and non-verbal communication for engagement assessment.
Purpose of the Study:
- To present a novel multidimensional technique for measuring older adult engagement.
- To develop analytical methods suitable for individuals with varying degrees of dementia.
- To enhance the precision of engagement measurement in research and clinical settings.
Main Methods:
- Developed a multidimensional analytical approach to quantify engagement.
- Measured facial movement, lexical use, and prosodic speech patterns as engagement indicators.
- Applied the technique in both dyadic reminiscence therapy and technology-driven group reminiscence therapy settings.
Main Results:
- The technique successfully quantifies both verbal and non-verbal communication dimensions of engagement.
- Illustrative examples demonstrate the application of the method in naturalistic settings with older adults.
- The approach provides indices for affective and behavioral outcomes related to engagement.
Conclusions:
- The proposed multidimensional technique offers enhanced measurement precision for older adult engagement.
- This method is adaptable for individuals with different cognitive statuses, including dementia.
- Application of these analytical techniques can advance the scientific evidence base for interventions, particularly non-pharmacological ones.
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