{"ID":2833163,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.05203","arxiv_id":"2512.05203","title":"Integrating Wearable Data into Process Mining: Event, Case and Activity Enrichment","abstract":"In this short paper, we explore the enrichment of event logs with data from wearable devices. We discuss three approaches: (1) treating wearable data as event attributes, linking them directly to individual events, (2) treating wearable data as case attributes, using aggregated day-level scores, and (3) introducing new events derived from wearable data, such as sleep episodes or physical activities. To illustrate these approaches, we use real-world data from one person, matching health data from a smartwatch with events extracted from a digital calendar application. Finally, we discuss the technical and conceptual challenges involved in integrating wearable data into process mining for personal productivity and well-being.","short_abstract":"In this short paper, we explore the enrichment of event logs with data from wearable devices. We discuss three approaches: (1) treating wearable data as event attributes, linking them directly to individual events, (2) treating wearable data as case attributes, using aggregated day-level scores, and (3) introducing new...","url_abs":"https://arxiv.org/abs/2512.05203","url_pdf":"https://arxiv.org/pdf/2512.05203v1","authors":"[\"Vinicius Stein Dani\",\"Xixi Lu\",\"Iris Beerepoot\"]","published":"2025-12-04T19:15:22Z","proceeding":"cs.DB","tasks":"[\"cs.DB\",\"cs.CY\"]","methods":"[]","has_code":false}