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Amadou Bah

dblp:232/2369 · also Amadou Yaye Bah · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 44% Haptics and multimodal interaction · 44% User interface design and tools · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Personal fabrication and tangible interfaces
programmable materials
0.612022
Mixels: Fabricating Interfaces using Programmable Magnetic Pixels · UIST 2022
Haptics and multimodal interaction › haptic interface
tactile interfaces
0.612022
Mixels: Fabricating Interfaces using Programmable Magnetic Pixels · UIST 2022

Methods — techniques the papers use, named apart from their topics

hall effect sensing · 0.6electromagnetic printhead · 0.6CNC machining · 0.6
YearPublicationVenuePosition
2022 Mixels: Fabricating Interfaces using Programmable Magnetic Pixels
abstract
In this paper, we present Mixels, programmable magnetic pixels that can be rapidly fabricated using an electromagnetic printhead mounted on an off-the-shelve 3-axis CNC machine. The ability to program magnetic material pixel-wise with varying magnetic force enables Mixels to create new tangible, tactile, and haptic interfaces. To facilitate the creation of interactive objects with Mixels, we provide a user interface that lets users specify the high-level magnetic behavior and that then computes the underlying magnetic pixel assignments and fabrication instructions to program the magnetic surface. Our custom hardware add-on based on an electromagnetic printhead and hall effect sensor clips onto a standard 3-axis CNC machine and can both write and read magnetic pixel values from magnetic material. Our evaluation shows that our system can reliably program and read magnetic pixels of various strengths, that we can predict the behavior of two interacting magnetic surfaces before programming them, that our electromagnet is strong enough to create pixels that utilize the maximum magnetic strength of the material being programmed, and that this material remains magnetized when removed from the magnetic plotter.
Martin Nisser, Yashaswini Makaram, Lucian Covarrubias, Amadou Bah, Faraz Faruqi, Ryo Suzuki 0001, Stefanie Mueller 0001
UIST4