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
  • [1] Towards Assistive Human-Robot Micro Manipulation
    Bergstrom, Niklas
    Huang, Shouren
    Yamakawa, Yuji
    Senoo, Taku
    Ishikawa, Masatoshi
    2016 IEEE-RAS 16TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2016, : 1188 - 1195
  • [2] A HUMAN-ROBOT INTERACTION CONTROL ARCHITECTURE FOR AN INTELLIGENT ASSISTIVE ROBOT
    Ficocelli, Maurizio
    Nejat, Goldie
    Jhin, Greg Minseok
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, VOL 7, PTS A AND B, 2010, : 937 - 946
  • [3] Human-Robot Interaction and User Manipulation
    Bertolini, Andrea
    Carli, Rachele
    PERSUASIVE TECHNOLOGY (PERSUASIVE 2022), 2022, 13213 : 43 - 57
  • [4] Assistive Robots for Healthcare and Human-Robot Interaction
    D'Onofrio, Grazia
    Sancarlo, Daniele
    SENSORS, 2023, 23 (04)
  • [5] Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human-Robot Interaction Research
    Chita-Tegmark, Meia
    Scheutz, Matthias
    INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2021, 13 (02) : 197 - 217
  • [6] Neural impedance adaption for assistive human-robot interaction
    Rahimi, Hamed N.
    Howard, Ian
    Cui, Lei
    NEUROCOMPUTING, 2018, 290 : 50 - 59
  • [7] The MOBOT Human-Robot Interaction - Showcasing Assistive HRI
    Fotinea, Stavroula-Evita
    Efthimiou, Eleni
    Goulas, Theodore
    Dimou, Athanasia-Lida
    Tzafestas, Costas
    Pitsikalis, Vassilis
    20TH PAN-HELLENIC CONFERENCE ON INFORMATICS (PCI 2016), 2016,
  • [8] A Human-Robot Interaction Perspective on Assistive and Rehabilitation Robotics
    Beckerle, Philipp
    Salvietti, Gionata
    Unal, Ramazan
    Prattichizzo, Domenico
    Rossi, Simone
    Castellini, Claudio
    Hirche, Sandra
    Endo, Satoshi
    Ben Amor, Heni
    Ciocarlie, Matei
    Mastrogiovanni, Fulvio
    Argall, Brenna D.
    Bianchi, Matteo
    FRONTIERS IN NEUROROBOTICS, 2017, 11
  • [9] A Multimodal Human-Robot Interaction Manager for Assistive Robots
    Abbasi, Bahareh
    Monaikul, Natawut
    Rysbek, Zhanibek
    Di Eugenio, Barbara
    Zefran, Milos
    2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2019, : 6756 - 6762
  • [10] MULTIMODAL HUMAN ACTION RECOGNITION IN ASSISTIVE HUMAN-ROBOT INTERACTION
    Rodomagoulakis, I.
    Kardaris, N.
    Pitsikalis, V.
    Mavroudi, E.
    Katsamanis, A.
    Tsiami, A.
    Maragos, P.
    2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 2702 - 2706