Design guidelines for human-robot interaction with assistive robot manipulation systems

被引:4
|
作者
Wilkinson A. [1 ]
Gonzales M. [1 ]
Hoey P. [2 ]
Kontak D. [3 ]
Wang D. [4 ]
Torname N. [2 ]
Sinclaire A. [1 ]
Han Z. [1 ]
Allspaw J. [1 ]
Platt R. [4 ]
Yanco H. [1 ]
机构
[1] Department of Computer Science, University of Massachusetts Lowell (UML), Lowell, 01854, MA
[2] Department of Electrical and Computer Engineering, University of Massachusetts Lowell (UML), Lowell, 01854, MA
[3] NERVE Center, University of Massachusetts Lowell (UML), Lowell, 01852, MA
[4] Khoury College of Computer Sciences, Northeastern University, Boston, 02115, MA
来源
Paladyn | 2021年 / 12卷 / 01期
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
assistive robotics; augmented reality; design guidelines; graphical user interface; human-robot interaction; tangible user interface;
D O I
10.1515/pjbr-2021-0023
中图分类号
学科分类号
摘要
The design of user interfaces (UIs) for assistive robot systems can be improved through the use of a set of design guidelines presented in this article. As an example, the article presents two different UI designs for an assistive manipulation robot system. We explore the design considerations from these two contrasting UIs. The first is referred to as the graphical user interface (GUI), which the user operates entirely through a touchscreen as a representation of the state of the art. The second is a type of novel UI referred to as the tangible user interface (TUI). The TUI makes use of devices in the real world, such as laser pointers and a projector-camera system that enables augmented reality. Each of these interfaces is designed to allow the system to be operated by an untrained user in an open environment such as a grocery store. Our goal is for these guidelines to aid researchers in the design of human-robot interaction for assistive robot systems, particularly when designing multiple interaction methods for direct comparison. © 2021 Alexander Wilkinson et al., published by De Gruyter.
引用
收藏
页码:392 / 401
页数:9
相关论文
共 50 条
  • [41] Design and Implementation of Telemarketing Robot with Emotion Identification for Human-Robot Interaction
    Arce, Diego
    Balbuena, Jose
    Menacho, Daniel
    Caballero, Luis
    Cisneros, Enzo
    Huanca, Dario
    Alvites, Marcelo
    Beltran, Cesar
    Cuellar, Francisco
    2022 SIXTH IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING, IRC, 2022, : 177 - 180
  • [42] Design of a Soft Upper Body Robot for Physical Human-Robot Interaction
    Alspach, Alexander
    Kim, Joohyung
    Yamane, Katsu
    2015 IEEE-RAS 15TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2015, : 290 - 296
  • [43] Human-robot interaction and performance in telerobotic systems
    Lumelsky, V
    2003 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-8, 2003, : 3949 - 3955
  • [44] Special Issue on Human-Robot Interaction Systems
    Hashimoto, Tomomi
    Kagawa, Yoshihito
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2011, 15 (05) : 533 - 533
  • [45] The Effect of Multiple Robot Interaction on Human-Robot Interaction
    Yang, Jeong-Yean
    Kwon, Dong-Soo
    2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAL), 2012, : 30 - 33
  • [46] Skill learning framework for human-robot interaction and manipulation tasks
    Odesanmi, Abiodun
    Wang, Qining
    Mai, Jingeng
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 79
  • [47] An Architecture for Rehabilitation Task Practice in Socially Assistive Human-Robot Interaction
    Mead, Ross
    Wade, Eric
    Johnson, Pierre
    St Clair, Aaron
    Chen, Shuya
    Mataric, Maja J.
    2010 IEEE RO-MAN, 2010, : 404 - 409
  • [48] Human-Robot Interaction System based on MR object manipulation
    Esaki, Hibiki
    Sekiyama, Kosuke
    2023 62ND ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, SICE, 2023, : 598 - 603
  • [49] Human-Robot Interaction and Collaborative Manipulation with Multimodal Perception Interface for Human
    Huang, Shouren
    Ishikawa, Masatoshi
    Yamakawa, Yuji
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON HUMAN-AGENT INTERACTION (HAI'19), 2019, : 289 - 291
  • [50] Robot Curiosity in Human-Robot Interaction (RCHRI)
    Ayub, Ali
    Scheunemann, Marcus
    Mavrogiannis, Christoforos
    Rhim, Jimin
    Dautenhahn, Kerstin
    Nehaniv, Chrystopher L.
    Hafner, Verena V.
    Polani, Daniel
    PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, : 1231 - 1233