AI in Elder Care Quiz

Answers and explanations appear as you take the quiz.

1. What function do fall-detection systems provide in elder care?
   • Identify a possible fall event and support a timely alert to a caregiver
   • Diagnose every cause of a fall
   • Guarantee that a future fall will be prevented
   • Replace all caregiver contact
2. How can radar-based fall sensing differ from ordinary video monitoring?
   • It requires a camera image of the person
   • It can infer motion from radio reflections without recording ordinary image frames
   • It identifies a medical diagnosis from a fall
   • It guarantees complete privacy
3. What signals do wearable fall detectors commonly use?
   • Only GPS location and weather
   • Blood glucose and oxygen saturation only
   • Accelerometer and gyroscope motion measurements
   • Audio transcripts of caregiver conversations
4. What practical limitation can affect a wearable fall-detection device?
   • It always detects falls before impact
   • It requires no charging or user interaction
   • It records ordinary video continuously
   • It depends on the person wearing and maintaining the device
5. What choice should an elder-care monitoring system give its intended users?
   • Understandable ways to choose, pause, or correct monitoring
   • No control over data collection
   • Automatic sharing of all sensor data
   • Permanent recording without notice
6. What is the central design tension in elder care AI?
   • Cost versus color
   • Safety monitoring versus privacy and dignity
   • Speed versus battery size
   • Music versus silence
7. Why should an elder-care monitoring system be evaluated with intended users?
   • User feedback guarantees perfect detection
   • Only sensor specifications determine adoption
   • Comfort, consent, usability, and daily routines affect whether it is accepted and used
   • Older adults cannot provide meaningful design input
8. What is the difference between fall detection and fall-risk assessment?
   • They are identical tasks with identical labels
   • Risk assessment can only occur after a fall
   • Fall detection predicts falls months in advance
   • Detection identifies a fall event; risk assessment estimates likelihood or susceptibility