carey
Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers
Shi, Jiayue Melissa, Yoo, Dong Whi, Wang, Keran, Rodriguez, Violeta J., Karkar, Ravi, Saha, Koustuv
Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for stress, anxiety, and depression. Although recent advances in generative AI -- particularly large language models (LLMs) -- offer new opportunities to support mental health, little is known about how caregivers perceive and engage with such technologies. To address this gap, we developed Carey, a GPT-4o-based chatbot designed to provide informational and emotional support to AD/ADRD caregivers. Using Carey as a technology probe, we conducted semi-structured interviews with 16 family caregivers following scenario-driven interactions grounded in common caregiving stressors. Through inductive coding and reflexive thematic analysis, we surface a systemic understanding of caregiver needs and expectations across six themes -- on-demand information access, emotional support, safe space for disclosure, crisis management, personalization, and data privacy. For each of these themes, we also identified the nuanced tensions in the caregivers' desires and concerns. We present a mapping of caregiver needs, AI chatbot's strengths, gaps, and design recommendations. Our findings offer theoretical and practical insights to inform the design of proactive, trustworthy, and caregiver-centered AI systems that better support the evolving mental health needs of AD/ADRD caregivers.
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- Health & Medicine > Therapeutic Area > Psychiatry/Psychology > Mental Health (1.00)
- Health & Medicine > Therapeutic Area > Neurology > Alzheimer's Disease (1.00)
- Health & Medicine > Therapeutic Area > Neurology > Dementia (0.92)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (1.00)
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AI Judging in Sports
The Hawk-Eye computer vision system made its tennis debut in 2003 for broadcasting purposes, but was approved in 2005 after a notorious U.S. Open Tennis match between Serena Williams and Jennifer Capriati in 2004, during which Williams was the victim of multiple bad calls in the third set and went on to lose the match. Use of Hawk-Eye was expanded during the COVID-19 pandemic, and the 2020 U.S. Open was played without line judges on all but two of the main courts. Since Hawk-Eye has been in use, between 190 and 200 judges have been replaced, depending on the stage of the tournament, says Sean Carey, managing director of competition operations, at the U.S. Tennis Association (USTA). "The reason we bring technology in for this level of tournament--and we want to do it across every level if we could afford it--is to ensure integrity and the fairest and most even calls,'' Carey said. Hawk-Eye, which uses cameras to track the trajectory of a ball and create a three-dimensional (3D) representation of it, is now being used by 23 of the top 25 global sports leagues and federations, according to the company. Yet, the sentiment appears to be that AI will never fully replace human judges. This has been the subject of much debate in Major League Baseball (MLB), a sport grounded in tradition, noted Daniel Martin, an associate professor of economics at the University of California at Santa Barbara. MLB is using Hawk-Eye to automatically monitor strike zones, and is questioning whether to get rid of umpires, given that the system is "incredibly accurate,'' he said.
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The Weird, Enduring Appeal of Tool
If you were listening to rock radio in the early nineteen-nineties, you might have heard a song called "Sober," which reflected the genre's new mood. In the wake of Nirvana's success, rock and roll was growing more sullen and more introverted, embracing dark colors and minor keys. "Sober," which was released in 1993, had a heavy neck-snapping rhythm and a howling, tormented refrain: "Why can't we not be sober? The song was a breakthrough hit for a California band called Tool, which played the Lollapalooza tour the same year, and made a sufficiently impressive racket to be elevated from the second stage to the main stage, joining Alice in Chains and Rage Against the Machine. Back then, bands such as these were often classified as "alternative," a rather vague and cringeworthy term that nevertheless turned out to be a pretty good description of Tool, which has spent the past three decades building an impressive following, and legacy, by stubbornly refusing to act the way rock bands are supposed to.
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Drew Carey made a radio show with AI. Fans weren't pleased.
Instead, The Price is Right host and longtime improv comedian is embracing the technology. During a recent episode of his SiriusXM radio show, "Friday Night Freakout," Carey used an artificially generated version of his voice to handle most of his DJ work, reading a script written by ChatGPT. His AI voice kicked off the show, introduced upcoming songs and recapped what listeners were hearing. As an experiment to see just how far AI could go on the radio, the episode was mostly a success. "I violated a rule from Radio 101," Carey told me.
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How AI chatbot ChatGPT changes the phishing game
ChatGPT, OpenAI's free chatbot based on GPT-3.5, was released on 30 November 2022 and racked up a million users in five days. It is capable of writing emails, essays, code and phishing emails, if the user knows how to ask. By comparison, it took Twitter two years to reach a million users. Facebook took ten months, Dropbox seven months, Spotify five months, Instagram six weeks. Pokemon Go took ten hours, so don't break out the champagne bottles, but still, five days is pretty impressive for a web-based tool that didn't have any built-in name recognition.
Will fully autonomous cars on our roads ever be a reality?
Autonomous vehicle start-ups have raised billions of dollars based on promises to develop cars that can drive themselves. But it would seem that some experts and industry executives are beginning to doubt the possibility of autonomous vehicles ever being able to operate without some form of human supervision. "The problem with truly autonomous vehicles is that robot drivers are just not as quick as human drivers in assessing situations and making decisions as they drive," according to Reuters Senior Correspondent and transport specialist, Nick Carey. "It's very difficult for machines to view the world that we do and assess, see what's happening, see what's coming and make decisions," he added. Human supervisors could be sitting tens of hundreds of miles away monitoring video feeds from multiple driverless vehicles all at once.
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Beethoven's Unfinished 10th Symphony Brought to Life by Artificial Intelligence
Teresa Carey: This is Scientific American's 60-Second Science. Every morning at five o'clock, composer Walter Werzowa would sit down at his computer to anticipate a particular daily e-mail. It came from six time zones away, where a team had been working all night (or day, rather) to draft Beethoven's unfinished 10th Symphony--almost two centuries after his death. The e-mail contained hundreds of variations, and Werzowa listened to them all. Carey: Werzowa was listening for the perfect tune--a sound that was unmistakably Beethoven.
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- Information Technology > Communications > Mobile (0.41)
Talkdesk's valuation jumps to $10B with Series D for smart contact centers – TechCrunch
Talkdesk, a provider of cloud-based contact center software, announced $230 million in new Series D funding that more than triples the company's valuation to $10 billion, Talkdesk founder CEO Tiago Paiva confirmed to TechCrunch. New investors Whale Rock Capital Management, TI Platform Management and Alpha Square Group came on board for this round and were joined by existing investors Amity Ventures, Franklin Templeton, Top Tier Capital Partners, Viking Global Investors and Willoughby Capital. Talkdesk uses artificial intelligence and machine learning to improve customer service for midmarket and enterprise businesses. It counts over 1,800 companies as customers, including IBM, Acxiom, Trivago and Fujitsu. "The global pandemic was a big part of how customers interact and how we interacted with our customers, all working from home," Paiva said.
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10 steps to achieve AI implementation in your business
AI technologies are quickly maturing as a viable means to enabling and supporting essential business functions. But creating business value from artificial intelligence requires a thoughtful approach that balances people, processes and technology. AI comes in many forms: machine learning, deep learning, predictive analytics, natural language processing, computer vision and automation. Companies must first start with a solid foundation and realistic view to determine the competitive advantages that an AI implementation can bring to their business strategy and planning. "Artificial intelligence encompasses many things, and there is a lot of hyperbole and in some cases exaggeration about how intelligent it really is," said John Carey, managing director at business management consultancy AArete.
As Esports Take Off, High School Leagues Get In The Game
Assistant Principal Miles Carey oversees a Rocket League practice at Washington-Liberty High School in Arlington, Va. Assistant Principal Miles Carey oversees a Rocket League practice at Washington-Liberty High School in Arlington, Va. Nowadays, if you're a teenager who's good at video games there's a lot more to be had than just a pot of virtual gold. Today, more than 170 colleges and universities participate. Naturally, high schools have followed suit.
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