{"paper":{"title":"A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Ultra-brief text about daily concerns associates with measurable drops in physical activity and sleep quality on wearable sensors.","cross_cats":["cs.CL"],"primary_cat":"cs.HC","authors_text":"Christopher Danforth, Connie Tompkins, Johanna Hidalgo, Kathryn Stanton, Laura Bloomfield, Matthew Price, Mikaela Irene Fudolig, Peter Sheridan Dodds, Tamunotonye Harry, Yuanyuan Feng","submitted_at":"2026-05-14T04:36:29Z","abstract_excerpt":"Wearable devices capture physiological and behavioral data with increasing fidelity, but the psychological context shaping these outcomes is difficult to recover from sensor data alone, limiting passive sensing utility for digital health. We examined whether ultra-brief naturalistic concern text could serve as a scalable complement to passive sensing. In a year-long study of 458 university students (3,610 person-waves) tracked with Oura rings, participants responded bimonthly to an open-ended prompt about what concerned them most; responses had a median length of three words. We compared dicti"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Weeks dominated by academic concern framing were associated with lower physical activity; weeks characterized by emotional exhaustion language were associated with poorer sleep quality and lower heart rate variability. General pretrained embeddings outperformed domain-adapted models for most outcomes, with affective dimensions consistently associated with outcomes.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the ultra-brief open-ended text responses validly and unbiasedly capture the psychological states that influence the measured sleep and activity outcomes from wearables, without substantial self-report bias or confounding by unmeasured factors.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Ultra-brief student concern texts analyzed with NLP associate with lower physical activity during academic concern weeks and poorer sleep plus lower heart rate variability during emotional exhaustion weeks, complementing wearable sensing.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Ultra-brief text about daily concerns associates with measurable drops in physical activity and sleep quality on wearable sensors.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"3ff11f4e64dd802f19a41ab0957228096feba4d8087ba235b2dae5ac7f342324"},"source":{"id":"2605.14360","kind":"arxiv","version":1},"verdict":{"id":"36bd0e4a-2039-40c3-a16f-a76695a8f26a","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T02:25:17.008797Z","strongest_claim":"Weeks dominated by academic concern framing were associated with lower physical activity; weeks characterized by emotional exhaustion language were associated with poorer sleep quality and lower heart rate variability. General pretrained embeddings outperformed domain-adapted models for most outcomes, with affective dimensions consistently associated with outcomes.","one_line_summary":"Ultra-brief student concern texts analyzed with NLP associate with lower physical activity during academic concern weeks and poorer sleep plus lower heart rate variability during emotional exhaustion weeks, complementing wearable sensing.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the ultra-brief open-ended text responses validly and unbiasedly capture the psychological states that influence the measured sleep and activity outcomes from wearables, without substantial self-report bias or confounding by unmeasured factors.","pith_extraction_headline":"Ultra-brief text about daily concerns associates with measurable drops in physical activity and sleep quality on wearable sensors."},"references":{"count":76,"sample":[{"doi":"10.3390/s21134302","year":2021,"title":"Marco Altini and Hannu Kinnunen. 2021. The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring.Sensors21, 13 (2021), 4302. doi:10.3390/s21134302","work_id":"52257ff2-a834-41f2-9a30-075baa001526","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1037/1082-989x.8.2.129","year":2003,"title":"Razia Azen and David V. Budescu. 2003. The Dominance Analysis Approach for Comparing Predictors in Multiple Regression. Psychological Methods8, 2 (2003), 129–148. doi:10.1037/1082-989X.8.2.129","work_id":"9d2f16b4-14a2-4b71-8e12-a36fd925ff8a","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2015,"title":"Scherer, Rui Wang, Haiyi Xie, and Andrew T","work_id":"3e9232eb-2741-4208-97ef-d83ff576c297","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":1999,"title":"Bradley and Peter J","work_id":"7d637b07-e314-4195-b05f-cd3f52f8519d","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1037/0033-2909.114.3.542","year":1993,"title":"David V. Budescu. 1993. Dominance Analysis: A New Approach to the Problem of Relative Importance of Predictors in Multiple Regression.Psychological Bulletin114, 3 (1993), 542–551. doi:10.1037/0033-290","work_id":"d66838b1-c660-4421-87fc-ddbb51564821","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":76,"snapshot_sha256":"4774ed4564dbb9f8099bf3865690f0700c2d4d4bce15f53e180b77b7570d8316","internal_anchors":2},"formal_canon":{"evidence_count":2,"snapshot_sha256":"5c6cfc828dad865260c9f3ffbdfb28c3b1d688b5fc44e75159c33c38968e8bc8"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}