HAILIE
HAILIE
Conceptualized and prototyped a holographic AI companion designed to help early-stage dementia patients maintain independence through personalized daily assistance, safety monitoring, and caregiver connectivity. Conducted user testing with elderly participants using Wizard of Oz methodology, validating that 75% responded positively to the holographic interface as a more approachable alternative to traditional voice assistants.
Year
2025
Category
Prototype
Concept
Concept
Testing revealed that 75% of participants responded positively to the holographic feature, finding it easier to talk to than traditional screen-based assistants, though they emphasized the AI should use suggestive rather than commanding tones. All participants valued the smart home safety functions and indicated they would consider implementing the device if identified issues were addressed. Key insights included the need for personalization options (such as projecting familiar faces or authority figures like doctors) and the importance of respecting user autonomy in all interactions. The team concluded that while current holographic technology remains premature for consumer markets, the concept validates a promising direction for eldercare assistance that future generations will be more receptive to adopting.
Testing revealed that 75% of participants responded positively to the holographic feature, finding it easier to talk to than traditional screen-based assistants, though they emphasized the AI should use suggestive rather than commanding tones. All participants valued the smart home safety functions and indicated they would consider implementing the device if identified issues were addressed. Key insights included the need for personalization options (such as projecting familiar faces or authority figures like doctors) and the importance of respecting user autonomy in all interactions. The team concluded that while current holographic technology remains premature for consumer markets, the concept validates a promising direction for eldercare assistance that future generations will be more receptive to adopting.
Concept
Testing revealed that 75% of participants responded positively to the holographic feature, finding it easier to talk to than traditional screen-based assistants, though they emphasized the AI should use suggestive rather than commanding tones. All participants valued the smart home safety functions and indicated they would consider implementing the device if identified issues were addressed. Key insights included the need for personalization options (such as projecting familiar faces or authority figures like doctors) and the importance of respecting user autonomy in all interactions. The team concluded that while current holographic technology remains premature for consumer markets, the concept validates a promising direction for eldercare assistance that future generations will be more receptive to adopting.
RESEARCH
Research
The project began with identifying a critical gap in eldercare technology: existing voice assistants like Alexa and Siri feel impersonal and intimidating to elderly users, particularly those with early-stage dementia. Research revealed that by 2050, one in six people globally will be over 65, creating urgent demand for accessible assistive technology. Studies indicated that elderly people are 40% more likely to engage with devices featuring audiovisual elements, leading the team to explore holographic interfaces as a more approachable alternative. The target audience was defined as adults aged 60+ with mild cognitive impairments and their caregivers, who need reliable tools for managing daily routines, staying connected, and ensuring safety.
The project began with identifying a critical gap in eldercare technology: existing voice assistants like Alexa and Siri feel impersonal and intimidating to elderly users, particularly those with early-stage dementia. Research revealed that by 2050, one in six people globally will be over 65, creating urgent demand for accessible assistive technology. Studies indicated that elderly people are 40% more likely to engage with devices featuring audiovisual elements, leading the team to explore holographic interfaces as a more approachable alternative. The target audience was defined as adults aged 60+ with mild cognitive impairments and their caregivers, who need reliable tools for managing daily routines, staying connected, and ensuring safety.
RESEARCH
The project began with identifying a critical gap in eldercare technology: existing voice assistants like Alexa and Siri feel impersonal and intimidating to elderly users, particularly those with early-stage dementia. Research revealed that by 2050, one in six people globally will be over 65, creating urgent demand for accessible assistive technology. Studies indicated that elderly people are 40% more likely to engage with devices featuring audiovisual elements, leading the team to explore holographic interfaces as a more approachable alternative. The target audience was defined as adults aged 60+ with mild cognitive impairments and their caregivers, who need reliable tools for managing daily routines, staying connected, and ensuring safety.
Design
Design
HAIlie was conceptualized as a hologram-powered AI device combining artificial intelligence with an intuitive visual interface to provide personalized daily assistance, real-time safety alerts, and adaptive learning. The design prioritized user-centered principles, featuring a customizable holographic companion that could guide users through tasks like cooking, remembering appointments, and medication schedules. Key features included room-specific sensors for safety monitoring, a caregiver dashboard for routine insights and irregularity notifications, and smart home integration for functions like locking doors and turning off stoves. The team developed a comprehensive technical specification covering holographic display technology, edge computing devices, microphone arrays, cameras for gesture recognition, and AI systems using natural language processing.
HAIlie was conceptualized as a hologram-powered AI device combining artificial intelligence with an intuitive visual interface to provide personalized daily assistance, real-time safety alerts, and adaptive learning. The design prioritized user-centered principles, featuring a customizable holographic companion that could guide users through tasks like cooking, remembering appointments, and medication schedules. Key features included room-specific sensors for safety monitoring, a caregiver dashboard for routine insights and irregularity notifications, and smart home integration for functions like locking doors and turning off stoves. The team developed a comprehensive technical specification covering holographic display technology, edge computing devices, microphone arrays, cameras for gesture recognition, and AI systems using natural language processing.
Design
HAIlie was conceptualized as a hologram-powered AI device combining artificial intelligence with an intuitive visual interface to provide personalized daily assistance, real-time safety alerts, and adaptive learning. The design prioritized user-centered principles, featuring a customizable holographic companion that could guide users through tasks like cooking, remembering appointments, and medication schedules. Key features included room-specific sensors for safety monitoring, a caregiver dashboard for routine insights and irregularity notifications, and smart home integration for functions like locking doors and turning off stoves. The team developed a comprehensive technical specification covering holographic display technology, edge computing devices, microphone arrays, cameras for gesture recognition, and AI systems using natural language processing.
Development
Development
The team built a low-fidelity prototype using a cardboard box fitted with angled glass to reflect a phone screen, simulating the holographic effect. User testing was conducted with four participants aged 68-78 who had close relationships with people experiencing pre-dementia, using a combination of accessibility testing, Wizard of Oz methodology, and think-aloud protocols. The prototype demonstrated core functionality including the holographic projection, verbally responsive AI, and explanation of sensor integration throughout the home. Testing sessions simulated real interaction scenarios using AI text-to-speech to gauge emotional responses and usability among the target demographic.
The team built a low-fidelity prototype using a cardboard box fitted with angled glass to reflect a phone screen, simulating the holographic effect. User testing was conducted with four participants aged 68-78 who had close relationships with people experiencing pre-dementia, using a combination of accessibility testing, Wizard of Oz methodology, and think-aloud protocols. The prototype demonstrated core functionality including the holographic projection, verbally responsive AI, and explanation of sensor integration throughout the home. Testing sessions simulated real interaction scenarios using AI text-to-speech to gauge emotional responses and usability among the target demographic.
Development
The team built a low-fidelity prototype using a cardboard box fitted with angled glass to reflect a phone screen, simulating the holographic effect. User testing was conducted with four participants aged 68-78 who had close relationships with people experiencing pre-dementia, using a combination of accessibility testing, Wizard of Oz methodology, and think-aloud protocols. The prototype demonstrated core functionality including the holographic projection, verbally responsive AI, and explanation of sensor integration throughout the home. Testing sessions simulated real interaction scenarios using AI text-to-speech to gauge emotional responses and usability among the target demographic.
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