Finding a Secure Place: A Map-Based Crowdsourcing System for People With Autism

被引：7
|
作者：
Rapp, Amon [1 ,2 ]
Cena, Federica [1 ,2 ]
Schifanella, Claudio [1 ]
Boella, Guido [1 ]
机构：
[1] Univ Torino, Dept Comp Sci, I-10149 Turin, Italy
[2] Univ Torino, ICxT ICT & Innovat Soc & Terr, I-10149 Turin, Italy
来源：
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS | 2020年 / 50卷 / 05期
关键词：
Autism; Urban areas; Human computer interaction; Crowdsourcing; Interviews; Sociology; Statistics; crowdsourcing; human-computer interaction; maps; spatiality; CHILDREN;
D O I：
10.1109/THMS.2020.2984743
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
People with autism have idiosyncratic sensory experiences, which may impact on how they live the "spaces" of their everyday life. Starting from an investigation of their conception and experience of "secure places," we defined a series of user requirements for designing technology that supports their everyday movements in the urban environment. On the basis of such requirements, we developed an interactive system that leverages crowdsourcing mechanisms to map places that are perceived as secure by the population with autism.
引用
收藏
页码：424 / 433
页数：10
相关论文
共 50 条
  • [21] Design and Evaluation of an Adaptive Mobile Map-Based Visualisation System
    van Tonder, Bradley
    Wesson, Janet
    [J]. HUMAN-COMPUTER INTERACTION - INTERACT 2009, PT I, 2009, 5726 : 839 - 852
  • [22] Development of interactive map-based tour information system for Busan
    Salman, Y. Batu
    Lee, Kyong-Hee
    Kim, Yoonjung
    Cheng, Hong-In
    Kim, Hyunjeong
    [J]. COMPUTER-HUMAN INTERACTION, 2008, 5068 : 380 - 388
  • [23] A map-based system for patch spraying weeds - weed mapping
    Perry, NH
    Lutman, PJW
    Miller, PCH
    Wheeler, HC
    [J]. BCPC CONFERENCE - WEEDS 2001, VOLS 1 AND 2, 2001, : 841 - 846
  • [24] MAP-based Online Data Association for Multiple People Tracking in Crowded Scenes
    Kim, Soo Wan
    Byeon, Moonsub
    Kim, Kikyung
    Choi, Jin Young
    [J]. 2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 1212 - 1217
  • [25] Chaotic Map-Based Anonymous User Authentication Scheme With User Biometrics and Fuzzy Extractor for Crowdsourcing Internet of Things
    Roy, Sandip
    Chatterjee, Santanu
    Das, Ashok Kumar
    Chattopadhyay, Samiran
    Kumari, Saru
    Jo, Minho
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (04): : 2884 - 2895
  • [26] Cognitive map-based system modeling for identifying interaction failure modes
    Augustine, Manu
    Yadav, Om Prakash
    Jain, Rakesh
    Rathore, Ajay
    [J]. RESEARCH IN ENGINEERING DESIGN, 2012, 23 (02) : 105 - 124
  • [27] AN EXTENDED PENETROMETER SYSTEM FOR THE MAP-BASED ASSESSMENT OF BALE DENSITY DISTRIBUTION
    Meng, F.
    Sun, Y.
    Buescher, W.
    Maack, C.
    Cheng, Q.
    Berg, A.
    Lin, J.
    Ross, F.
    Zhang, H.
    [J]. APPLIED ENGINEERING IN AGRICULTURE, 2012, 28 (03) : 449 - 455
  • [28] BISMARC: a biologically inspired system for map-based autonomous rover control
    Huntsberger, T
    Rose, J
    [J]. NEURAL NETWORKS, 1998, 11 (7-8) : 1497 - 1510
  • [29] An Interactive Map-based System for Visually Exploring and Cleaning GPS Traces
    Hendawi, Abdeltawab
    Sabbineni, Sree Sindhu
    Shen, Jianwei
    Song, Yaxiao
    Cao, Peiwei
    Zhang, Zhihong
    Krumm, John
    Ali, Mohamed
    [J]. 27TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2019), 2019, : 572 - 575
  • [30] A Probabilistic Feature Map-Based Localization System Using a Monocular Camera
    Kim, Hyungjin
    Lee, Donghwa
    Oh, Taekjun
    Choi, Hyun-Taek
    Myung, Hyun
    [J]. SENSORS, 2015, 15 (09) : 21636 - 21659
12345