Mapping 20 years of accessibility research in HCI: A co-word analysis

被引：5
|
作者：
Sarsenbayeva, Zhanna [1 ]
van Berkel, Niels [2 ]
Hettiachchi, Danula [3 ]
Tag, Benjamin [4 ]
Velloso, Eduardo [5 ]
Goncalves, Jorge [5 ]
Kostakos, Vassilis [5 ]
机构：
[1] Univ Sydney, Sydney, NSW 2006, Australia
[2] Aalborg Univ, Fredrik Bajers Vej 7K, DK-9220 Aalborg, Denmark
[3] RMIT Univ, 124 La Trobe St, Melbourne, Vic 3000, Australia
[4] Monash Univ, Melbourne, Vic 3800, Australia
[5] Univ Melbourne, Melbourne, Vic 3010, Australia
来源：
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES | 2023年 / 175卷
基金：
澳大利亚研究理事会; 澳大利亚国家健康与医学研究理事会;
关键词：
HCI; Accessibility; Accessibility research; Co-word analysis; Literature review; NETWORK; SCIENCE; AUTISM;
D O I：
10.1016/j.ijhcs.2023.103018
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We employ hierarchical clustering, strategic diagrams, and network core-periphery analysis to assess and visualise the intellectual progress of accessibility research within HCI in the past two decades. The study quantifies and explains the development of accessibility research and its thematic evolution based on 1,535 papers published at TACCESS, ASSETS, IJHCS, and CHI and their respective 3,470 author-assigned keywords. The novelty of this work is based on employing a quantitative methodological approach to provide an overview of accessibility research progress and insights into its driving and trending themes through the period 2001- 2021. In addition, we identify declining, emerging, and core backbone themes of accessibility research. Finally, we discuss the opportunities for research that arise from our findings. These contributions provide a roadmap for researchers working on accessibility.
引用
收藏
页数：15
相关论文
共 50 条
  • [41] Bibliometric cartography of information retrieval research by using co-word analysis
    Ding, Y
    Chowdhury, GG
    Foo, S
    INFORMATION PROCESSING & MANAGEMENT, 2001, 37 (06) : 817 - 842
  • [42] Mapping the Knowledge Structure of Research on Patient Adherence: Knowledge Domain Visualization Based Co-Word Analysis and Social Network Analysis
    Zhang, Juan
    Xie, Jun
    Hou, Wanli
    Tu, Xiaochen
    Xu, Jing
    Song, Fujian
    Wang, Zhihong
    Lu, Zuxun
    PLOS ONE, 2012, 7 (04):
  • [43] Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)
    S. Ravikumar
    Ashutosh Agrahari
    S. N. Singh
    Scientometrics, 2015, 102 : 929 - 955
  • [44] FROM TRANSLATION TO NETWORK - THE CO-WORD ANALYSIS
    CALLON, M
    COURTIAL, JP
    TURNER, WA
    BAUIN, S
    SCIENTOMETRICS, 1983, 5 (01) : 78 - 78
  • [45] The combination of content maps by co-word analysis
    Zartl, A
    Schiebel, E
    VISUALIZATION AND DATA ANALYSIS 2002, 2002, 4665 : 359 - 367
  • [46] Mapping the intellectual structure of the coronavirus field (2000-2020): a co-word analysis
    Pourhatami, Aliakbar
    Kaviyani-Charati, Mohammad
    Kargar, Bahareh
    Baziyad, Hamed
    Kargar, Maryam
    Olmeda-Gomez, Carlos
    SCIENTOMETRICS, 2021, 126 (08) : 6625 - 6657
  • [47] A Co-Word Analysis of Global Research on Knowledge Organization: 1900-2019
    Alipour, Omid
    Soheili, Faramarz
    Khasseh, Ali Akbar
    KNOWLEDGE ORGANIZATION, 2022, 49 (05): : 303 - 315
  • [48] Thematic delimitation of the Spanish research in Competitive Intelligence through co-word analysis
    Izquierdo, Hector
    Velasco, Fernando
    Luis Fernandez, Jose
    REVISTA UNISCI, 2018, (47): : 209 - 222
  • [49] Exploring Patterns in Research on International Illegal Logging Using Co-word Analysis
    Lin, Jiunn-Cheng
    Chan, Wei-Hsun
    Wu, Meng-Shan
    Lin, Zheng-Rong
    Taiwan Journal of Forest Science, 2024, 39 (04): : 259 - 270
  • [50] Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis
    Sadatmoosavi, Ali
    Tajedini, Oranus
    Esmaeili, Omid
    Zadeh, Firouzeh Abolhasani
    Khazaneha, Mahdiyeh
    JMIR CANCER, 2021, 7 (04):
12345