{"title":"Making Music More Inclusive with Hospiano","authors":"Chacharin Lertyosbordin, Nichaput Khurukitwanit, Teeratas Asavareongchai, Sirin Liukasemsarn","doi":"10.1145/3568294.3580184","DOIUrl":null,"url":null,"abstract":"Music brings people together; it is a universal language that can help us be more expressive and help us understand our feelings and emotions in a better manner. The \"Hospiano\" robot is a prototype developed with the goal of making music accessible to all, regardless of physical ability. The robot acts as a pianist and can be placed in hospital lobbies and wards, playing the piano in response to the gestures and facial expressions of patients (i.e. head movement, eye and mouth movement, and proximity). It has three main modes of operation: \"Robot Pianist mode\", in which it plays pre-existing songs; \"Play Along mode\", which allows anyone to interact with the music; and \"Composer mode\", which allows patients to create their own music. The software that controls the prototype's actions runs on the Robot Operating System (ROS). It has been proven that humans and robots can interact fluently via a robot's vision, which opens up a wide range of possibilities for further interactions between these logical machines and more emotive beings like humans, resulting in an improvement in the quality of life of people who use it, increased inclusivity, and a better world for future generations to live in.","PeriodicalId":36515,"journal":{"name":"ACM Transactions on Human-Robot Interaction","volume":"1 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Human-Robot Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568294.3580184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Music brings people together; it is a universal language that can help us be more expressive and help us understand our feelings and emotions in a better manner. The "Hospiano" robot is a prototype developed with the goal of making music accessible to all, regardless of physical ability. The robot acts as a pianist and can be placed in hospital lobbies and wards, playing the piano in response to the gestures and facial expressions of patients (i.e. head movement, eye and mouth movement, and proximity). It has three main modes of operation: "Robot Pianist mode", in which it plays pre-existing songs; "Play Along mode", which allows anyone to interact with the music; and "Composer mode", which allows patients to create their own music. The software that controls the prototype's actions runs on the Robot Operating System (ROS). It has been proven that humans and robots can interact fluently via a robot's vision, which opens up a wide range of possibilities for further interactions between these logical machines and more emotive beings like humans, resulting in an improvement in the quality of life of people who use it, increased inclusivity, and a better world for future generations to live in.
期刊介绍:
ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain.
THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.