“What If Smart Homes Could See Our Homes?”: Exploring DIY Smart Home Building Experiences with VLM-Based Camera Sensors

要旨

The advancement of Vision-Language Model (VLM) camera sensors, which enable autonomous understanding of household situations without user intervention, has the potential to completely transform the DIY smart home building experience. Will this simplify or complicate the DIY smart home process? Additionally, what features do users want to create using these sensors? To explore this, we conducted a three-week diary-based experience prototyping study with 12 participants. Participants recorded their daily activities, used GPT to analyze the images, and manually customized and tested smart home features based on the analysis. The study revealed three key findings: (1) participants’ expectations for VLM camera-based smart homes, (2) the impact of VLM camera sensor characteristics on the DIY process, and (3) users’ concerns. Through the findings of this study, we propose design implications to support the DIY smart home building process with VLM camera sensors, and discuss living with intelligence.

著者
Sojeong Yun
KAIST, Daejeon, Korea, Republic of
Youn-kyung Lim
KAIST, Daejeon, Korea, Republic of
DOI

10.1145/3706598.3713265

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713265

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Smart Home and Buildings

G402
7 件の発表
2025-04-29 18:00:00
2025-04-29 19:30:00
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