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Smartphones, wearables, and in-home sensors can quantify mobility, physiology, speech, and social interaction markers of constructs relevant to AD\/ADRD. Available research indicates potential but is largely at the proof-of-concept stage. In this Commentary, we discuss several roadblocks to future translation of passive sensing in measuring subjective experiences in AD\/ADRD, including technical implementation, data harmonization, validation, ethical and privacy principles. Addressing these challenges could lead to transformative applications to care for AD\/ADRD, enabling precise monitoring of behavioral symptoms and related treatment targets, ultimately improving quality of life for persons with AD\/ADRD and their caregivers.<\/jats:p>","DOI":"10.2196\/71920","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T19:10:08Z","timestamp":1762197008000},"page":"e71920-e71920","source":"Crossref","is-referenced-by-count":0,"title":["Digital Measurement of Subjective Experiences in Alzheimer Disease and Related Dementias (AD\/ADRD)"],"prefix":"10.2196","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1841-6229","authenticated-orcid":false,"given":"Colin","family":"Depp","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6468-5510","authenticated-orcid":false,"given":"Jason","family":"Holden","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2040-7951","authenticated-orcid":false,"given":"Eric","family":"Granholm","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,11,18]]},"reference":[{"issue":"4","key":"R1","doi-asserted-by":"publisher","DOI":"10.2196\/34638","article-title":"Loneliness and social isolation detection using passive sensing techniques: scoping review","volume":"10","author":"Qirtas","journal-title":"JMIR Mhealth Uhealth"},{"key":"R2","doi-asserted-by":"publisher","DOI":"10.3389\/fdgth.2021.662811","article-title":"Wearable, environmental, and smartphone-based passive sensing for mental health monitoring","volume":"3","author":"Sheikh","journal-title":"Front Digit Health"},{"issue":"7","key":"R3","doi-asserted-by":"publisher","DOI":"10.2196\/29840","article-title":"Predicting depressive symptom severity through individuals\u2019 nearby bluetooth device count data collected by mobile phones: preliminary longitudinal study","volume":"9","author":"Zhang","journal-title":"JMIR Mhealth Uhealth"},{"issue":"1","key":"R4","doi-asserted-by":"publisher","DOI":"10.2196\/19046","article-title":"Examining the correlation between depression and social behavior on smartphones through usage metadata: empirical study","volume":"9","author":"Wang","journal-title":"JMIR Mhealth Uhealth"},{"issue":"7","key":"R5","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1093\/jamia\/ocaa057","article-title":"Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: a BiAffect iOS study","volume":"27","author":"Vesel","journal-title":"J Am Med Inform Assoc"},{"key":"R6","doi-asserted-by":"publisher","DOI":"10.2147\/CIA.S253236","article-title":"Home-based cognitively assistive robots: maximizing cognitive functioning and maintaining independence in older adults without dementia","author":"Van Patten","journal-title":"Clin Interv Aging"},{"issue":"18","key":"R7","doi-asserted-by":"publisher","first-page":"5022","DOI":"10.3390\/s20185022","article-title":"Machine-learning analysis of voice samples recorded through smartphones: the combined effect of ageing and gender","volume":"20","author":"Asci","journal-title":"Sensors (Basel)"},{"key":"R8","doi-asserted-by":"crossref","unstructured":"Du C Graham S Depp C Nguyen T . 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