Rosalind W Picard
Biographic Data
| ID | 5118870 |
|---|---|
| NAME | Rosalind W Picard |
| GIVEN NAMES | Rosalind W |
| FAMILY NAME | Picard |
| SIGNATURE | PICARD R W |
| AFFILIATIONS | Massachusetts Institute of Technology |
| ORCID | 0000-0002-5661-0022 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors
Background: While preliminary evidence suggests that sensors may be employed to detect presence of low mood it is still unclear whether they can be leveraged for measuring depression symptom severity. This study evaluates the feasibility and performance of assessing depressive symptom severity by using behavioral and physiological features obtained from wristband and smartphone sensors. Method: Participants were thirty-one individuals with Major …
Establishing and maintaining long-term human-computer relationships
This research investigates the meaning of “human-computer relationship” and presents techniques for constructing, maintaining, and evaluating such relationships, based on research in social psychology, sociolinguistics, communication and other social sciences. Contexts in which relationships are particularly important are described, together with specific benefits (like trust) and task outcomes (like improved learning) known to be associated with…
Affective Social Quest
Affective Computing
According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can …
Affective computing
According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can …
No prominent works on this page.
Affective Computing
According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can …
Affective computing
According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can …
Affective Social Quest
Establishing and maintaining long-term human-computer relationships
This research investigates the meaning of “human-computer relationship” and presents techniques for constructing, maintaining, and evaluating such relationships, based on research in social psychology, sociolinguistics, communication and other social sciences. Contexts in which relationships are particularly important are described, together with specific benefits (like trust) and task outcomes (like improved learning) known to be associated with…
Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors
Background: While preliminary evidence suggests that sensors may be employed to detect presence of low mood it is still unclear whether they can be leveraged for measuring depression symptom severity. This study evaluates the feasibility and performance of assessing depressive symptom severity by using behavioral and physiological features obtained from wristband and smartphone sensors. Method: Participants were thirty-one individuals with Major …
Computer Science (4 works) · Psychology (4 works) · Cognitive psychology (2 works) · Mental Health Research Topics (2 works) · Social Psychology (2 works) · AI in Service Interactions (1 work) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Applied Psychology (1 work) · Autism Spectrum Disorder Research (1 work) · Behavioral and Psychological Studies (1 work)