LEADER 04378nam 22006975 450 001 9910349437703321 005 20220314161011.0 010 $a3-030-31620-3 024 7 $a10.1007/978-3-030-31620-4 035 $a(CKB)4100000009751216 035 $a(MiAaPQ)EBC5969459 035 $a(DE-He213)978-3-030-31620-4 035 $a(PPN)260303526 035 $a(EXLCZ)994100000009751216 100 $a20191031d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Phenotyping and Mobile Sensing $eNew Developments in Psychoinformatics /$fedited by Harald Baumeister, Christian Montag 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (xx, 291 pages) $cillustrations 225 1 $aStudies in Neuroscience, Psychology and Behavioral Economics,$x2196-6605 311 $a3-030-31619-X 327 $aMobile Sensing and Digital Phenotyping: Privacy and Ethics -- Mobile Sensing and Digital Phenotyping in Psycho-Social Sciences -- Mobile Sensing and Digital Phenotyping in Health Sciences. 330 $aThis book offers a snapshot of cutting-edge applications of mobile sensing for digital phenotyping in the field of Psychoinformatics. The respective chapters, written by authoritative researchers, cover various aspects related to the use of these technologies in health, education, and cognitive science research. They share insights both into established applications of mobile sensing (such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns) and emerging trends. Machine learning and deep learning approaches are discussed, and important considerations regarding privacy risks and ethical issues are assessed. In addition to essential background information on various technologies and theoretical methods, the book also presents relevant case studies and good scientific practices, thus addressing researchers and professionals alike. To cite Thomas R. Insel, who wrote the foreword to this book: ?Patients will only use digital phenotyping if it solves a problem, perhaps a digital smoke alarm that can prevent a crisis. Providers will only use digital phenotyping if it fits seamlessly into their crowded workflow. If we can earn public trust, there is every reason to be excited about this new field. Suddenly, studying human behavior at scale, over months and years, is feasible.?. 410 0$aStudies in Neuroscience, Psychology and Behavioral Economics,$x2196-6605 606 $aBiomedical engineering 606 $aHealth psychology 606 $aUser interfaces (Computer systems) 606 $aHealth informatics 606 $aBiomedical Engineering/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/B24000 606 $aHealth Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y12020 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 606 $aEnginyeria biomèdica$2thub 608 $aLlibres electrònics$2thub 615 0$aBiomedical engineering. 615 0$aHealth psychology. 615 0$aUser interfaces (Computer systems). 615 0$aHealth informatics. 615 14$aBiomedical Engineering/Biotechnology. 615 24$aHealth Psychology. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aHealth Informatics. 615 7$aEnginyeria biomèdica 676 $a150.2854 676 $a150.285 702 $aBaumeister$b Harald$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMontag$b Christian$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349437703321 996 $aDigital Phenotyping and Mobile Sensing$92079144 997 $aUNINA