Harmonizing Human-Robot Synergy: Exploring the Impact of Anthropomorphism on Collaboration Efficiency in the Hospitality Sector
Abstract
The integration of service robots with human-like features, or anthropomorphism, is reshaping service delivery in the hospitality industry. This study investigates how these anthropomorphic characteristics influence the efficiency of employee-robot collaboration, focusing on task completion speed, accuracy, task division ease, and adaptability. Utilizing scales adapted from established research, a self administrated survey will gather data from hospitality employees. The study will examine the relationship between robot anthropomorphism levels and collaboration efficiency, assessing task completion time, service delivery accuracy, ease of task division, and adaptability to service demands. Anticipated findings may suggest that robots with higher anthropomorphism levels enhance collaboration efficiency across measured components. The results will aim to identify the optimal anthropomorphic traits that foster effective employee-robot teamwork. This research will offer new insights into designing service robots in the hospitality industry, emphasizing the importance of human-like characteristics for improving operational outcomes and employee satisfaction with robotic collaboration.
Home Country
Turkey
College
Muma College of Business
Specialization
General Business Studies
Faculty Sponsor
Cihan Cobanoglu
Poster
Presentation Type
Event
Harmonizing Human-Robot Synergy: Exploring the Impact of Anthropomorphism on Collaboration Efficiency in the Hospitality Sector
The integration of service robots with human-like features, or anthropomorphism, is reshaping service delivery in the hospitality industry. This study investigates how these anthropomorphic characteristics influence the efficiency of employee-robot collaboration, focusing on task completion speed, accuracy, task division ease, and adaptability. Utilizing scales adapted from established research, a self administrated survey will gather data from hospitality employees. The study will examine the relationship between robot anthropomorphism levels and collaboration efficiency, assessing task completion time, service delivery accuracy, ease of task division, and adaptability to service demands. Anticipated findings may suggest that robots with higher anthropomorphism levels enhance collaboration efficiency across measured components. The results will aim to identify the optimal anthropomorphic traits that foster effective employee-robot teamwork. This research will offer new insights into designing service robots in the hospitality industry, emphasizing the importance of human-like characteristics for improving operational outcomes and employee satisfaction with robotic collaboration.
