首页|Reports Outline Robotics Study Findings from University of Southern Florida (Robotic Safety and Hygiene Attributes: Visitors’ Intention To Receive Robot-delivered Hospitality Services)
Reports Outline Robotics Study Findings from University of Southern Florida (Robotic Safety and Hygiene Attributes: Visitors’ Intention To Receive Robot-delivered Hospitality Services)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingfrom Tampa, Florida, by NewsRx jour nalists, research stated, “This study aims to investigate tourists’intentions t o use hotel service robots with a focus on safety and hygiene. It examines the i mpact ofperceived safety, health awareness and service assurance on consumer en gagement and robot usage.”Financial support for this research came from Faculty of Informatics and Managem ent of the Universityof Hradec Kralove (FIM UHK).The news correspondents obtained a quote from the research from the University o f Southern Florida,“Design/methodology/approach-Survey data from 275 participan ts with experience in robotic service wereanalyzed using structural equation mo deling (SEM). The study used purposive sampling and collected datavia the Proli fic platform, using SEM and SmartPLS Ver. 3.0 for analysis. Results indicate cus tomersprioritize safety and hygiene, valuing effective service responses and cl eanliness. Perceived robotic safetyand service assurance positively influence p ersonal engagement, with a preference for service robots amongfemale guests. Re search limitations/implications-While emphasizing the importance of safety and s erviceassurance in hotel robotics, the study acknowledges limitations in person alization and conclusive use ofservice robots. Originality/value-This research contributes to understanding the role of perceived safety inservice robot usage , highlighting the significance of user trust and comfort in human-robot interac tions.”
TampaFloridaUnited StatesNorth and Central AmericaEmerging TechnologiesHealth and MedicineHygieneMachine LearningNano-robotRobotRoboticsRobotsUniversity of Southern Florida