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GVU Brown Bag Seminars

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Now showing 1 - 10 of 32
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Human Network Regions as Spatial Units for COVID-19 Policy Implementation

2021-11-18 , Andris, Clio

In the U.S., COVID-19 messaging and policy implementation (i.e. school closures and stay-at-home orders) are largely administered at the state level. This can be problematic, as functional metropolitan areas can straddle multiple states, and a single state may have subregions that are not well-connected. Much of our messaging for emergencies (such as hurricane warnings) is not at the state-level but at the county-level for these reasons. Such state-level policies have already resulted in friction in local communities--especially in Georgia. To define units for which it is reasonable to apply homogeneous rules, we construct regions that capture core geographies of social and movement behavior. To create effective geographic regions for policy implementation, we apply community-detection algorithms to five large networks of mobility and social-media connections to construct geographic regions that reflect natural human movement and relationships at the county level for the continental United States. We measure COVID-19 cases, case rates, and case rate variation across adjacent counties and examine these dynamics along the boundaries of functional regions and state boundaries. We find that regions constructed using GPS-trace ("trip") networks and commuter networks are the most effective natural partitions for capturing COVID-19 'hot spots'. Conversely, regions constructed from geolocated Facebook friend connections resulted in the least effective partitions. Regions derived from migration flows, Twitter connections, and state boundaries showed mixed results. This analysis reveals that functional regions derived from mobility data are more appropriate geographic units than states for making policy decisions about opening areas for activity, assessing vulnerability of populations, and allocating resources.

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Representation of disability in children’s video games

2021-10-28 , Madej, Krystina

While video game accessibility for people with disability has been given serious thought and been addressed by video game developers since the early 2000s, representation of disability in video games has been less well addressed. How children’s perception of disability is established and maintained or altered through playing video games in which characters with disabilities are represented has received no attention at all. The most instrumental type of representation of disability in games should provide children with exposure to and engagement with new video game schemas that add understanding and help create meaning about the disability represented. Video games differ significantly in how they represent disability. Representation can be cosmetic, providing exposure but not gameplay utility; it can be incidental, used as a device that provides purpose for the narrative; or it can accurately represent the disability and show how the character copes with their disability. How representation is perceived by children, i.e.. the message that is received, depends on what stage a child may be in in their cognitive development, the society of which they are a part, and their exposure to disability in games previously. This talk shares a current EU research project in which nineteen games (1994-2020) with a PEGI 3 rating, and seventeen games (2004 to 2020) with a PEGI 7 rating, were reviewed and characters analyzed to consider how representation of disability maps against cognitive development and psychomotor and cognitive needs and abilities of children ages 3 to 12.

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How Health Informatics Will Transform Healthcare

2021-09-30 , Braunstein, Mark

Computers have been used in healthcare from their earliest days. Much visionary work was done in the 1950's and 60's but it inevitably failed to achieve acceptance for technical and non-technical reasons we will discuss. As a result, healthcare is correctly widely viewed as the last major industry to embrace the information age. That is changing. We will explore the new technology landscape and look at some of the early transformative applications it has enabled around the world.

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GVU Center Overview and Funded Research Projects

2021-08-26 , Edwards, W. Keith

In the first GVU Brown Bag Seminar of the academic year, Keith Edwards, GVU Center Director and Professor of Interactive Computing, will kick off our talk series with an overview of the GVU Center detailing its unique resources and opportunities, and previewing some of the events coming up this semester. Also, each year, the GVU Center and IPaT announce funding for the Engagement Grants, which support early stage work by Georgia Tech researchers. This year’s winners will give brief overviews of the work they will be doing over the coming academic year.

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Studying Intersectional Challenges in Gig Work: Lessons From the Global South

2021-11-11 , Raval, Noopur

With the rise and proliferation of gig economy platforms providing ride hailing, food delivery and other app-based services on-demand in major urban centers of the world, there have been major transformations in work and life globally. Gig platforms have certainly disrupted and redefined the discovery and allocation of casual work through algorithmic management, creating grave concerns for regulating the future of work. Simultaneously, especially in the global South, gig platforms have also emerged as important avenues for gaining temporary paid work and socio-economic mobility for low income individuals, women and migrant workers. Drawing on over five years of ethnographic research with a variety of stakeholders in the gig economy including workers, managers, consumers and regulators, my work shows how platformization produces heterogeneous effects on the lives, livelihoods and productive and reproductive capacities of different individuals in urban India. This talk will draw on multiple case studies of gig work to show these heterogeneous effects and how everyday technology practice also informs platform design in return. I will also offer some considerations for HCI scholars looking to study the effects of emerging technologies in global South settings.

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Living in Data

2021-10-21 , Thorp, Jer

To live in data is to be incessantly extracted from, to be classified and categorized, statisti-fied, sold and surveilled. Data (our data) is mined and processed for profit, power and political gain. Our clicks and likes and footsteps feed new digital methods of control. In this talk Jer will propose a variety of answers to a crucial question of our time: how do we stop passively inhabiting data, and become active citizens of it?

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Exploring the promise and peril of emotion AI, designing for emotional meaning-making with data, imagining an affirmative biopolitics with data

2021-09-23 , Howell, Noura

Emotion AI, which predicts psychological characteristics from data, offers potentially transformative benefits for societal well-being, productivity, and security. Drawing on increasingly available biodata-data about people’s bodies and behaviors, such as video, audio, or heart rate-emotion AI predicts emotions, stress, focus, and other characteristics. Emotion AI increasingly informs sensitive decisions in many varied contexts, from social media to online education, online job interviews, or security surveillance systems and criminal investigations. A key challenge to emotion AI is that algorithmic ways of modeling emotion differ fundamentally from human ways of understanding emotion, making emotion AI predictions difficult to meaningfully interpret and apply in real-world contexts. In addition, even people aware of widespread video surveillance may be unaware that an additional layer of algorithmic surveillance using emotion AI is making sensitive predictions about their inner psychology from video of their facial expressions, leading to privacy and civil liberties risks. My design research explores both the promise and peril of emotion AI, and contributes design tactics to more effectively support social, embodied, and emotional meaning-making with data. Combining building custom biosensing technologies and realtime data displays with concepts from the arts and humanities, my work explores, how might we imagine a more affirmative biopolitics with data?

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Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

2021-11-04 , Liao, Q. Vera

Artificial Intelligence technologies are increasingly used to make decisions and perform autonomous tasks in critical domains. The need to understand AI in order to improve, contest, develop appropriate trust and better interact with AI systems has spurred great academic and public interest in Explainable AI (XAI). The technical field of XAI has produced a vast collection of algorithms in recent years. However, explainability is an inherently human-centric property and the field is starting to embrace human-centered approaches. Human-computer interaction (HCI) research and user experience (UX) design in this area are increasingly important especially as practitioners begin to leverage XAI algorithms to build XAI applications. In this talk, I will draw on our research and broad HCI work to highlight the central role that human-centered approaches should play in shaping XAI technologies, including to drive technical choices by understanding user needs, to uncover pitfalls of existing XAI methods, and to provide conceptual frameworks for human-compatible XAI.

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AI-CARING How Use Inspired Research with Older Adults Informs the Future of AI

2021-10-14 , Mynatt, Elizabeth D.

We anticipate that AI will play a pivotal role in supporting the goals of older adults to “age in place” and sustain quality of life and independence. However, designing these technologies requires supporting the actions of older adults alongside their caregivers, spouses, adult children, and healthcare providers while being able to draw on a longitudinal understanding of routines, habits, norms, and values. In this talk, I draw from several projects to reflect on the challenges incumbent in designing for informal care networks. These challenges include establishing trust, respecting privacy, retaining autonomy, and combatting disparities. While these challenges are significant, the benefits of designing for care networks are substantial and this multi-stakeholder approach has the greatest potential for long-lasting care. This work now grounds the “use inspired” research for the new NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING).

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Fostering public understanding of AI through education and design

2021-09-09 , Long, Duri

As artificial intelligence is integrated into our schools, homes, and workplaces, it becomes increasingly important to foster public understanding of AI. My research has explored two important facets of this issue—developing AI education initiatives and expanding existing AI systems to improve their ability to interact naturally with humans and foster understanding through interaction. Several design themes guide my work, including using embodied interaction, collaboration, and creative exploration to reduce intimidation and foster curiosity and learning. I will discuss my research investigating how to define AI literacy, and I will present several activities I have designed for informal learning spaces that can foster family learning about AI. I will also discuss how my research on developing co-creative AI systems can inform the development of more understandable AI systems. My talk will conclude with reflections on how education and system design can be leveraged to create more equitable, understandable AI in our everyday lives.