• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Joshua Hailpern (4)
    • Marina Danilevsky (4)
    • The Pennsylvania State University CiteSeerX Archives (4)
    • Karrie Karahalios (3)
    • Andrew Harris (1)
    • Jiawei Han (1)
    • Reed Labotz (1)
    • Sunah Suh (1)
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access:
    • free (4)
    • subject to license (0)

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 General Terms Joshua Hailpern; Marina Danilevsky; Karrie Karahalios In: http://social.cs.uiuc.edu/papers/pdfs/1022p-hailpern.pdf BASE Show details 2 ACES: Aphasia Emulation, Realism, and the Turing Test Joshua Hailpern; Marina Danilevsky; Karrie Karahalios In: http://social.cs.uiuc.edu/papers/pdfs/11-ASSETS-acesTuring.pdf Abstract: To an outsider it may appear as though an individual with aphasia has poor cognitive function. However, the problem resides in the individual’s receptive and expressive language, and not in their ability to think. This misperception, paired with a lack of empathy, can have a direct impact on quality of life and medical care. Hailpern’s 2011 paper on ACES demonstrated a novel system that enabled users (e.g., caregivers, therapists, family) to experience first hand the communication-distorting effects of aphasia. While their paper illustrated the impact of ACES on empathy, it did not validate the underlying distortion emulation. This paper provides a validation of ACES ’ distortions through a Turing Test experiment with participants from the Speech and Hearing Science community. It illustrates that text samples generated with ACES distortions are generally not distinguishable from text samples originating from individuals with aphasia. This paper explores ACES distortions through a ‘How Human ’ is it test, in which participants explicitly rate how human- or computer-like distortions appear to be. Keyword: Assistive Technology; Disabilities; Empathy; Emulation Software; Experimentation; Human Factors Keywords Aphasia; Language; Speech; Turing Test URL: http://social.cs.uiuc.edu/papers/pdfs/11-ASSETS-acesTuring.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.9457 BASE Hide details 3 ACES: A Cross-Discipline Platform and Method for Communication and Language Research Joshua Hailpern; Marina Danilevsky; Andrew Harris... In: http://social.cs.uiuc.edu/papers/pdfs/13-hailpern-cscw.pdf BASE Show details 4 SCENE: Structural Conversation Evolution NEtwork Marina Danilevsky; Joshua Hailpern; Jiawei Han In: http://www.cs.uiuc.edu/%7Ehanj/pdf/asonam11_mdanilevsky.pdf BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 4 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0