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Trauma-informed care approach in developing companion robots: a preliminary observational study.
1The School of Management, Hadassah Academic College, Jerusalem, Israel.
Companion robots designed with Trauma-Informed Care (TIC) principles can improve engagement for elderly trauma survivors. Key themes for acceptance include safety, trust, self-compassion, and self-efficacy in technology interactions.
Area of Science:
- Gerontology
- Human-Computer Interaction
- Psychology
Background:
- Trauma, particularly Post-Traumatic Stress Disorder (PTSD), significantly impacts the mental and physical health of aging populations.
- Tailored technological solutions are needed to address the complex needs of elderly trauma survivors.
- Integrating psychological care principles into technology design is crucial for this demographic.
Purpose of the Study:
- To explore the integration of Trauma-Informed Care (TIC) principles in designing companion robots for elderly trauma survivors.
- To identify user needs, barriers, and coping strategies for technology engagement among trauma survivors.
- To inform the development of assistive robotics that are sensitive to the experiences of trauma.
Main Methods:
- Conducted two focus groups with 12 Holocaust survivors who interacted with a social robot.
- Employed thematic analysis of transcripts to identify key TIC-related themes.
- Explored longitudinal experiences of trauma, resilience, and aging in relation to robot interaction.
Main Results:
- Trauma survivors encounter communication and technology use challenges.
- Establishing safe and trusting environments is critical for effective robot engagement.
- Self-compassion and self-efficacy are vital for overcoming initial engagement barriers.
Conclusions:
- Incorporating TIC principles is essential for developing companion robots that meet the needs of trauma survivors.
- User-centered design emphasizing stability and empathy is key for assistive robotics.
- This research contributes to digital mental health and aging technologies by advocating for scalable, sensitive robotic solutions.
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