{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:48:01Z","timestamp":1782809281079,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>Global population ageing and healthcare workforce shortages have led to increasing interest in robotic technologies within long-term care(LTC) environments. Notwithstanding growing evidence on robotic acceptance, limited research has used simulation-based modelling of human-robot interaction (HRI) scenarios with healthcare professionals particularly those working with older persons, to prospectively appraise collaborative workflows, escalation protocols, and organisational readiness. This qualitative simulation study, conducted as part of the HEARTS (Human-Centred Elderly Care: Semi Humanoid Robots for Collaborative Daily Support) project, used scenario-based human-in-the-loop simulation with ten heath care professionals (HCPs) experienced in older persons\u2019 care. Eight structured HRI simulation scenarios; (i) four video-based and four discussion-based, were designed using a semi-humanoid robot (Pepper). These HRI simulation scenarios encompassed practical operational failure conditions to stress-test human-robot collaboration (HRC) dynamics and handover protocols. Participants expressed a preference for a complementary human-robot model, in which a human carer works along with the robot instead of leaving it to operate independently. Results support the feasibility and analytical usefulness of simulation-based modelling as a methodological tool for pre-implementation workflow mapping and present a state-based Human-Robot Collaboration Simulation Framework (HRCSF) identifying collaboration states, transition triggers, performance metrics, and feedback mechanisms for sustainable robotic integration in LTC environments.<\/jats:p>","DOI":"10.7148\/2026-0109","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:46Z","timestamp":1782808606000},"page":"109-117","source":"Crossref","is-referenced-by-count":0,"title":["Simulation-based modelling of human-robot collaboration in long-term care: healthcare professionals\u2019 perspectives on semi-humanoid and humanoid robots"],"prefix":"10.7148","author":[{"given":"Conrad","family":"Attard","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberta","family":"Sultana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:51Z","timestamp":1782808611000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0109_hric_ecms2026_0045.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0109","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}