An attention-based approach to symbol acquisition

被引:0
|
作者
Kozima, H [1 ]
Ito, A [1 ]
机构
[1] Commun Res Lab, Nishi Ku, Kobe, Hyogo 6512401, Japan
关键词
pre-verbal communication; language acquisition; attention-sharing; behavior-sharing; human-robot interaction;
D O I
10.1109/ISIC.1998.713829
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We developed a semiotico-psychological model of symbol acquisition which is based on attentional interaction with others. Recent studies on developmental disorders of communication abilities suggest that "attention-sharing" plays an indispensable role in infants' acquisition of symbols and other social conventions. Attention-sharing is the activity of paying one's attention to someone else's attentional target. We hypothesize that (1) attention-sharing enables an infant to observe caregivers' behavior, i.e. stimuli (what they are perceiving from the target) and responses (what they are doing in response to the stimuli), and that (2) observation of adults' behavior, or indirect experience, leads to "behavior-sharing", in which the infant and the adults mutually interpret the function of their shared behavior. The shared behavior (significant) and shared interpretation (signifie') function as a symbol (signe) that is socially shared in the community.
引用
收藏
页码:852 / 856
页数:5
相关论文
共 50 条
  • [31] A selective attention-based contextual perception approach for a humanoid robot
    Yanrong JIANG
    [J]. Control Theory and Technology, 2007, (03) : 244 - 252
  • [32] Attention-based robot control
    Kasderidis, S
    Taylor, JG
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2003, 2774 : 615 - 621
  • [33] An Attention-based Recommendation Algorithm
    Chu, Yan
    Qi, Shuhao
    Yang, Yue
    Shan, Chenqi
    Wang, Lina
    Wang, Zhengkui
    [J]. 2019 IEEE INTL CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, BIG DATA & CLOUD COMPUTING, SUSTAINABLE COMPUTING & COMMUNICATIONS, SOCIAL COMPUTING & NETWORKING (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2019), 2019, : 1505 - 1510
  • [34] Attention-based texture segregation
    Papathomas, TV
    Gorea, A
    Feher, A
    Conway, TE
    [J]. PERCEPTION & PSYCHOPHYSICS, 1999, 61 (07): : 1399 - 1410
  • [35] DeepLIR: Attention-based approach for Mask-Based Lensless Image Reconstruction
    Poudel, Arpan
    Nakarmi, Ukash
    [J]. 2024 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WORKSHOPS, WACVW 2024, 2024, : 431 - 439
  • [36] Attention-Based Graph Evolution
    Fan, Shuangfei
    Huang, Bert
    [J]. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2020, PT I, 2020, 12084 : 436 - 447
  • [37] Visual Attention-based Watermarking
    Oakes, Matthew
    Bhowmik, Deepayan
    Abhayaratne, Charith
    [J]. 2011 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2011, : 2653 - 2656
  • [38] Attention-based color correction
    Stentiford, Fred W. M.
    Walker, Matt D.
    [J]. HUMAN VISION AND ELECTRONIC IMAGING XI, 2006, 6057
  • [39] Attention-based video streaming
    Dikici, Cagatay
    Bozma, H. Isil
    [J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2010, 25 (10) : 745 - 760
  • [40] Attention-based visual processes
    Cavanagh, P
    [J]. CANADIAN PSYCHOLOGY-PSYCHOLOGIE CANADIENNE, 1996, 37 (01): : 59 - 59