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Browsing by Subject "Human-centered computing"
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Item Exploring outlooks towards generative AI-based assistive technologies for people with Autism(ACM, 2023-04-28) Giri, Deepak; Brady, ErinThe last few years have significantly increased global interest in generative artificial intelligence. Deepfakes, which are synthetically created videos, emerged as an application of generative artificial intelligence. Fake news and pornographic content have been the two most prevalent negative use cases of deepfakes in the digital ecosystem. Deepfakes have some advantageous applications that experts in the subject have thought of in the areas of filmmaking, teaching, etc. Research on the potential of deepfakes among people with disabilities is, however, scarce or nonexistent. This workshop paper explores the potential of deepfakes as an assistive technology. We examined Reddit conversations regarding Nvdia’s new videoconferencing feature which allows participants to maintain eye contact during online meetings. Through manual web scraping and qualitative coding, we found 162 relevant comments discussing the relevance and appropriateness of the technology for people with Autism. The themes identified from the qualitative codes indicate a number of concerns for technology among the autistic community. We suggest that developing generative AI-based assistive solutions will have ramifications for human-computer interaction (HCI), and present open questions that should be investigated further in this space.Item Exploring Transformative Justice Principles to Inform Survivor-Centered Design for Muslim Women in the United States(Association for Computing Machinery, 2021) Rabaan, Hawra; Human-Centered Computing, School of Informatics and ComputingDomestic violence (DV) is a social, political, and legal problem and requires contextual examination. In the U.S., earlier advocacy work focused on law reform to empower survivors in influencing the public and state in taking DV seriously and providing resources to support and protect survivors. However, harm is still perpetuated systemically and socially for survivors, especially from religious and racial minorities. In my dissertation work, I focus on DV within the Muslim population in the U.S. due to the unique issues Muslim survivors face when dealing with governmental services and service providers (e.g., gendered Islamophobia, racial discrimination, punitive actions) and within the Muslim community itself (e.g., community trauma, untrained faith leaders in dealing with abuse). I argue that in order to validate the Muslim survivor’s experience, provide competent resources and information, and allow for informed decision making, a transformative justice (TJ) approach supported by Islamic feminism and trauma-informed healing concepts must be integrated into design, to provide a multidimensional approach to tackling DV within the Muslim community. I will conceptually explore the strengths and weaknesses of using a TJ model through using design as a mode of social inquiry to elicit and understand the social phenomena of DV and TJ within sociotechnical interventions.