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ACES: promoting empathy towards aphasia through language distortion emulation software

Published: 07 May 2011 Publication History

Abstract

Individuals with aphasia, an acquired communication disorder, constantly struggle against a world that does not understand them. This lack of empathy and understanding negatively impacts their quality of life. While aphasic individuals may appear to have lost cognitive functioning, their impairment relates to receptive and expressive language, not to thinking processes. We introduce a novel system and model, Aphasia Characteristics Emulation Software (ACES), enabling users (e.g., caregivers, speech therapists and family) to experience, firsthand, the communication-distorting effects of aphasia. By allowing neurologically typical individuals to "walk in another's shoes," we aim to increase patience, awareness and understanding. ACES was grounded in the communication science and psychological literature, and informed by an initial pilot study. Results from an evaluation of 64 participants indicate that ACES provides a rich experience that increases understanding and empathy for aphasia.

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          cover image ACM Conferences
          CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
          May 2011
          3530 pages
          ISBN:9781450302289
          DOI:10.1145/1978942
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 07 May 2011

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          Author Tags

          1. aphasia
          2. assistive technology
          3. disabilities
          4. empathy
          5. emulation software
          6. language
          7. speech

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          CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;
          Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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          • (2024)The future of prejudice reduction researchComputers in Human Behavior10.1016/j.chb.2023.108073152:COnline publication date: 14-Mar-2024
          • (2023)"I Want to Figure Things Out": Supporting Exploration in Navigation for People with Visual ImpairmentsProceedings of the ACM on Human-Computer Interaction10.1145/35794967:CSCW1(1-28)Online publication date: 16-Apr-2023
          • (2023)Introducing Inclusive Design by Showing the Effects of Impaired Environments on Neurodiverse Users2023 IEEE Gaming, Entertainment, and Media Conference (GEM)10.1109/GEM59776.2023.10390238(1-6)Online publication date: 19-Nov-2023
          • (2022)Empathic and Empathetic Systematic Review to Standardize the Development of Reliable and Sustainable Empathic SystemsSensors10.3390/s2208304622:8(3046)Online publication date: 15-Apr-2022
          • (2022)“Just Not Together”: The Experience of Videoconferencing for People with Aphasia during the Covid-19 PandemicProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502017(1-16)Online publication date: 29-Apr-2022
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          • (2022)VisionPainter: Authoring Experience of Visual Impairment in Virtual RealityHuman Interface and the Management of Information: Applications in Complex Technological Environments10.1007/978-3-031-06509-5_20(280-295)Online publication date: 26-Jun-2022
          • (2021)Evoking Empathy: A Framework for Describing Empathy ToolsProceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3430524.3440644(1-15)Online publication date: 14-Feb-2021
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