Alibasa et al., 2023 - Google Patents
Predicting mood from digital footprints using frequent sequential context patterns featuresAlibasa et al., 2023
View PDF- Document ID
- 13519225584549313083
- Author
- Alibasa M
- Calvo R
- Yacef K
- Publication year
- Publication venue
- International Journal of Human–Computer Interaction
External Links
Snippet
Understanding the relationship between technology and wellbeing is important in order to raise awareness and to improve interaction designs with digital technologies. Most studies used the time spent and frequency information of digital technology usage, very few …
Classifications
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06F17/30994—Browsing or visualization
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