SonifyIt: Towards Transformative Sound for All Robots

被引:8
作者
Zhang, Brian J. [1 ]
Sigafoos, Noel [1 ]
Moffit, Rabecka [1 ]
Syed, Ibrahim [2 ]
Adams, Lili S. [1 ]
Fick, Jason [2 ]
Fitter, Naomi T. [1 ]
机构
[1] Oregon State Univ, Collaborat Robot & Intelligent Syst CoRIS Inst, Corvallis, OR 97331 USA
[2] Oregon State Univ, Mus Dept, Corvallis, OR 97331 USA
关键词
Audio user interfaces; human-robot interaction; open source software; sonification;
D O I
10.1109/LRA.2022.3193228
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Transformative robot sound yields perceptual, functional, and social benefits in human-robot interactions, but broader research and implementation related to this topic is impeded by the lack of a common sound generation system for robots. Such a system could enable a wide array of situated robot sound studies, smoother collaborations with sound designers than current state of the art methods, and broader adoption of transformative robot sound. Based on other successful open-source projects in the robotics community, we integrated Robot Operating System, a popular robotics middleware, and Pure Data, a visual programming language for multimedia, to enable live sound synthesis and sample playback for robots. This sound generation system synthesized sound in an in-the-wild pilot study with positive qualitative results. Furthermore, an online within-subjects survey study with N=96 showed that the proposed sound system made the robot seem warmer, happier, and more energetic. This work benefits robotics researchers by providing the current sound system as a validated artifact and demonstrating its potential impact on broader robotics applications. We plan to develop this software into an open-source package: SonifyIt.
引用
收藏
页码:10566 / 10572
页数:7
相关论文
共 30 条
[1]   Non-normal data: Is ANOVA still a valid option? [J].
Blanca, Maria J. ;
Alarcon, Rafael ;
Arnau, Jaume ;
Bono, Roser ;
Bendayan, Rebecca .
PSICOTHEMA, 2017, 29 (04) :552-557
[2]   The Robotic Social Attributes Scale (RoSAS): Development and Validation [J].
Carpinella, Colleen M. ;
Wyman, Alisa B. ;
Perez, Michael A. ;
Stroessner, Steven J. .
PROCEEDINGS OF THE 2017 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'17), 2017, :254-262
[3]   Effects of Robot Sound on Auditory Localization in Human-Robot Collaboration [J].
Cha, Elizabeth ;
Fitter, Naomi T. ;
Kim, Yunkyung ;
Fong, Terrence ;
Mataric, Maja J. .
HRI '18: PROCEEDINGS OF THE 2018 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2018, :434-442
[4]  
Core Team R., 2021, Initial condition sensi
[5]   Sound Synthesis for Communicating Nonverbal Expressive Cues [J].
de Gorostiza Luengo, Javier Fernandez ;
Alonso Martin, Fernando ;
Castro-Gonzalez, Alvaro ;
Angel Salichs, Miguel .
IEEE ACCESS, 2017, 5 :1941-1957
[6]   EMPIRICAL COMPARISON OF ANOVA F-TEST, NORMAL SCORES TEST AND KRUSKAL-WALLIS TEST UNDER VIOLATION OF ASSUMPTIONS [J].
FEIRWALS.BJ ;
TOOTHAKER, LE .
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1974, 34 (04) :789-799
[7]   Perceptual Evaluation of Blended Sonification of Mechanical Robot Sounds Produced by Emotionally Expressive Gestures: Augmenting Consequential Sounds to Improve Non-verbal Robot Communication [J].
Frid, Emma ;
Bresin, Roberto .
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2022, 14 (02) :357-372
[8]   Evaluating Effect Size in Psychological Research: Sense and Nonsense [J].
Funder, David C. ;
Ozer, Daniel J. .
ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, 2019, 2 (02) :156-168
[9]   Sound over Matter: The Effects of Functional Noise, Robot Size and Approach Velocity in Human-Robot Encounters [J].
Joosse, Michiel ;
Lohse, Manja ;
Evers, Vanessa .
HRI'14: PROCEEDINGS OF THE 2014 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2014, :184-185
[10]   The analysis of repeated measurements: A quantitative research synthesis [J].
Keselman, JC ;
Lix, LM ;
Keselman, HJ .
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 1996, 49 :275-298