With a Flick of the Eye: Assessing Gaze-Controlled Human-Computer Interaction

被引:0
|
作者
Koesling, Hendrik [1 ]
Zoellner, Martin [1 ]
Sichelschmidt, Lorenz [2 ]
Ritter, Helge [1 ]
机构
[1] Univ Bielefeld, Fac Technol, D-4800 Bielefeld, Germany
[2] Univ Bielefeld, Fac Linguist & Literary Studies, Bielefeld, Germany
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Gaze-controlled user interfaces appear to be a viable alternative to manual mouse control in human-computer interaction. Eye movements, however, often occur involuntarily and fixations do not necessarily indicate an intention to interact with a particular element of a visual display. To address this so-called Midas-touch problem, we investigated two methods of object/action selection using volitional eye movements, fixating versus blinking, and evaluated error rates, response times, response accuracy and user satisfaction in a text-typing task. Results show significantly less errors for the blinking method while task completion times do only vary between methods when practice is allowed. In that case, the fixation method is quicker than the blinking method. Also, participants rate the fixation method higher for its ease of use and regard it as less tiring. In general, blinking appears more suited for sparse and non-continuous input (e.g., when operating ticket vending machines), whereas fixating seems preferable for tasks requiring more rapid and continuous selections (e.g., when using virtual keyboards). We could demonstrate that the quality of the selection method does not rely on efficiency measures (e.g., error rate or task completion time) alone: user satisfaction measures must certainly be taken into account as well to ensure user-friendly interfaces and, furthermore, gaze-controlled interaction methods must be adapted to specific applications.
引用
收藏
页码:83 / +
页数:2
相关论文
共 50 条
  • [1] Toward Optimization of Gaze-Controlled Human-Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients
    Meena, Yogesh Kumar
    Cecotti, Hubert
    Wong-Lin, Kongfatt
    Dutta, Ashish
    Prasad, Girijesh
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (04) : 911 - 922
  • [2] HUMAN-COMPUTER INTERACTION USING EYE-GAZE INPUT
    HUTCHINSON, TE
    WHITE, KP
    MARTIN, WN
    REICHERT, KC
    FREY, LA
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1989, 19 (06): : 1527 - 1534
  • [3] Eye center localization and gaze gesture recognition for human-computer interaction
    Zhang, Wenhao
    Smith, Melvyn L.
    Smith, Lyndon N.
    Farooq, Abdul
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2016, 33 (03) : 314 - 325
  • [4] Human-computer interaction models and their application in an eye-gaze input system
    Zhao, QJ
    Tu, DW
    Gao, DM
    Wang, RS
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 2274 - 2278
  • [5] Combining Eye Gaze Input With a Brain-Computer Interface for Touchless Human-Computer Interaction
    Zander, Thorsten O.
    Gaertner, Matti
    Kothe, Christian
    Vilimek, Roman
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2011, 27 (01) : 38 - 51
  • [6] Improving Human-Computer Interaction by Gaze Tracking
    Janko, Zsolt
    Hajder, Levente
    3RD IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM 2012), 2012, : 131 - 136
  • [7] Gaze tracking for multimodal human-computer interaction
    Stiefelhagen, R
    Yang, J
    1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 2617 - 2620
  • [8] Eye Tracking for Cultural Heritage: a Gaze-controlled System for Handless Interaction with Artworks
    Cantoni, Virginio
    Merlano, Lorenzo
    Nugrahaningsih, Nahumi
    Porta, Marco
    COMPUTER SYSTEMS AND TECHNOLOGIES, COMPSYSTECH'16, 2016, : 307 - 314
  • [9] Gender and gaze gesture recognition for human-computer interaction
    Zhang, Wenhao
    Smith, Melvyn L.
    Smith, Lyndon N.
    Farooq, Abdul
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2016, 149 : 32 - 50
  • [10] Voluntary eye movements in human-computer interaction
    Surakka, V
    Illi, M
    Isokoski, P
    MIND'S EYE: COGNITIVE AND APPLIED ASPECTS OF EYE MOVEMENT RESEARCH, 2003, : 473 - 491