Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
20 important questions on Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
What are examples of high-level behavioral markers? (5)
2. Fatigue
3. Depressed mood
4. Social avoidance
5. Stress
What is personal sensing?
What is the goal of personal sensing?
- Higher grades + faster learning
- Never study anything twice
- 100% sure, 100% understanding
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What is a behavioral marker?
What are the steps taken in the hierarchical model leading from data to knowledge? (4)
2. Data is converted into feature
3. Behavioral markers are defined (through machine learning)
4. A set of features and markers is used to identify clinical states
How are high-level behavioral markers commonly developed?
What is a shortcoming of personal sensing?
How is non-workday sleep used in judging someone's sleep?
What are the current challenges in personal sensing? (6)
2. The curse of variability (differences in phone usage)
3. The unknown expiration date (algorithms increasingly inaccurate & short shelf-life)
4. Balancing accuracy and visibility
5. The certainty of uncertainty (what is acceptable)
6. Privacy, ethics, and the naked truth (de-identification, as much control as possible)
What is the meaning of privacy, security, trust, and value? (4)
2. Security: protections to ensure people's choices are followed
3. Trust: data will be used appropriately
4. Value: benefit due to use of data
What are the potential applications of personal sensing? (2)
2. Behavioral intervention technologies
In what ways can mental healthcare be enhanced by the use of personal sensing? (3)
2. Accelerating access to treatment
3. Monitoring functioning during or after treatment
In what way could behavioral intervention technologies be improved?
What is the advantage of the fact that we use sensors in our daily lives?
How can raw sensor data be translated into knowledge?
What is a finding of a growing number of studies on the use of phone sensor data?
What was found about depression and mood states in bipolar disorder?
What is the main limitation regarding the evidence on the use of phone sensor data?
In what ways do machine-learning methods vary?
What is the main conclusion about personal sensing?
The question on the page originate from the summary of the following study material:
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding
