https://stemasov.dev/tags/wearables/Wearables — Evgeny Stemasov - HCI Researchen-cahttps://stemasov.dev/research/ephemeral-fabrication/https://stemasov.dev/research/ephemeral-fabrication/Mon, 13 Dec 2021 06:08:10 +0100<h2 id="abstract">Abstract</h2> <p>Personal fabrication empowers users to create objects increasingly easier and faster. This continuous decrease in effort evokes a speculative scenario of Ephemeral Fabrication (EF), enabled and amplified by emerging paradigms of mobile, wearable, or even body-integrated fabrication. EF yields fast, temporary, in-situ solutions for everyday problems (e.g., creating a protective skin, affixing a phone). Users solely create those, since the required effort is negligible. We present and critically reflect on the EF scenario, by exploring current trends in research and building a body-worn fabrication device. EF is a plausible extrapolation of current developments, entailing both positive (e.g., accessibility) and negative implications (e.g., unsustainability). Using speculative design methodology to question the trajectory of personal fabrication, we argue that to avert the aftermath of such futures, topics like sustainability can not remain an afterthought, but rather be situated in interactions themselves: through embedded constraints, conscious material choice, and constructive embedding of ephemerality.</p>https://stemasov.dev/research/movelet/https://stemasov.dev/research/movelet/Fri, 05 Oct 2018 00:00:00 +0100<h2 id="abstract">Abstract</h2> <p>We present Movelet, a self-actuated bracelet that can move along the user&rsquo;s forearm to convey feedback via its movement and positioning. In contrast to other eyes-free modalities such as vibro-tactile feedback, that only works momentarily, Movelet is able to provide sustained feedback via its spatial position on the forearm, in addition to momentary feedback by movement. This allows to continuously inform the user about the changing state of information utilizing their haptic perception. In a user study using the Movelet prototype, we found that users can blindly estimate the device&rsquo;s position on the forearm with an average deviation of 1.20cm to the actual position and estimate the length of a movemement with an average deviation of 1.44cm. This shows the applicability of position-based feedback using haptic perception.</p>