Litcius/Paper detail

Improving human–robot interactions in hospitality settings

Galen Collins

2020International Hospitality Review58 citationsDOIOpen Access PDF

Abstract

Purpose Service robotics, a branch of robotics that entails the development of robots able to assist humans in their environment, is of growing interest in the hospitality industry. Designing effective autonomous service robots, however, requires an understanding of Human–Robot Interaction (HRI), a relatively young discipline dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. HRI has not yet received sufficient attention in hospitality robotic design, much like Human–Computer Interaction (HCI) in property management system design in the 1980s. This article proposes a set of introductory HRI guidelines with implementation standards for autonomous hospitality service robots. Design/methodology/approach A set of key user-centered HRI guidelines for hospitality service robots were extracted from 52 research articles. These are organized into service performance categories to provide more context for their application in hospitality settings. Findings Based on an extensive literature review, this article presents some HRI guidelines that may drive higher levels of acceptance of service robots in customer-facing situations. Deriving meaningful HRI guidelines requires an understanding of how customers evaluate service interactions with humans in hospitality settings and to what degree those will differ with service robots. Originality/value Robots are challenging assumptions on how hospitality businesses operate. They are being increasingly deployed by hotels and restaurants to boost productivity and maintain service levels. Effective HRI guidelines incorporate user requirements and expectations in the design specifications. Compilation of such information for designers of hospitality service robots will offer a clearer roadmap for them to follow.

Topics & Concepts

HospitalityRobotRoboticsService (business)Computer scienceHospitality industryHuman–computer interactionKnowledge managementSet (abstract data type)Context (archaeology)Artificial intelligenceService robotEngineering managementBusinessMarketingEngineeringTourismPolitical scienceBiologyPaleontologyProgramming languageLawAI in Service InteractionsSocial Robot Interaction and HRISharing Economy and Platforms