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Johannes Frohnhofen

dblp:144/5435 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 4Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1

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
4 papers
Personal fabrication and tangible interfaces · 51% Interaction techniques and input · 17% Ubiquitous computing and smart environments · 17%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 4 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
touch interaction
0.212015
Ergonomic Interaction for Touch Floors · CHI 2015
Personal fabrication and tangible interfaces › digital fabrication
3d printing
0.212014
faBrickation: fast 3D printing of functional objects by integrating construction kit building blocks · CHI 2014
Computational fabrication › material design
microstructure design
0.112016
Metamaterial Mechanisms · UIST 2016
User interface design and tools › prototyping
rapid prototyping
0.112014
faBrickation: fast 3D printing of functional objects by integrating construction kit building blocks · CHI 2014

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

3d cell grids · 0.5user study · 0.2pose-aware view management · 0.2construction kit assembly · 0.23d printing · 0.2
YearPublicationVenuePosition
2016 Approximate Discovery of Functional Dependencies for Large Datasets
abstract
Functional dependencies (FDs) are an important prerequisite for various data management tasks, such as schema normalization, query optimization, and data cleansing. However, automatic FD discovery entails an exponentially growing search and solution space, so that even today's fastest FD discovery algorithms are limited to small datasets only, due to long runtimes and high memory consumptions.
Tobias Bleifuß, Susanne Bülow, Johannes Frohnhofen, Julian Risch, Georg Wiese, Sebastian Kruse 0001, Thorsten Papenbrock, Felix Naumann
CIKM3
2016 Metamaterial Mechanisms
abstract
Recently, researchers started to engineer not only the outer shape of objects, but also their internal microstructure. Such objects, typically based on 3D cell grids, are also known as metamaterials. Metamaterials have been used, for example, to create materials with soft and hard regions.
Alexandra Ion, Johannes Frohnhofen, Ludwig Wall, Robert Kovacs, Mirela Alistar, Jack Lindsay, Pedro Lopes 0001, Hsiang-Ting Chen, Patrick Baudisch
UIST2
2015 Ergonomic Interaction for Touch Floors
abstract
The main appeal of touch floors is that they are the only direct touch form factor that scales to arbitrary size, therefore allowing direct touch to scale to very large numbers of display objects. In this paper, however, we argue that the price for this benefit is bad physical ergonomics: prolonged standing, especially in combination with looking down, quickly causes fatigue and repetitive strain. We propose addressing this issue by allowing users to operate touch floors in any pose they like, including sitting and lying. To allow users to transition between poses seamlessly, we present a simple pose-aware view manager that supports users by adjusting the entire view to the new pose. We support the main assumption behind the work with a simple study that shows that several poses are indeed more ergonomic for touch floor interaction than standing. We ground the design of our view manager by analyzing, which screen regions users can see and touch in each of the respective poses.
Dominik Schmidt, Johannes Frohnhofen, Sven Knebel, Florian Meinel, Mariya Perchyk, Julian Risch, Jonathan Striebel, Julia Wachtel, Patrick Baudisch
CHI2
2015 Protopiper: Physically Sketching Room-Sized Objects at Actual Scale
abstract
Physical sketching of 3D wireframe models, using a hand-held plastic extruder, allows users to explore the design space of 3D models efficiently. Unfortunately, the scale of these devices limits users' design explorations to small-scale objects. We present protopiper, a computer aided, hand-held fabrication device, that allows users to sketch room-sized objects at actual scale. The key idea behind protopiper is that it forms adhesive tape into tubes as its main building material, rather than extruded plastic or photopolymer lines. Since the resulting tubes are hollow they offer excellent strength-to-weight ratio, thus scale well to large structures. Since the tape is pre-coated with adhesive it allows connecting tubes quickly, unlike extruded plastic that would require heating and cooling in the kilowatt range. We demonstrate protopiper's use through several demo objects, ranging from more constructive objects, such as furniture, to more decorative objects, such as statues. In our exploratory user study, 16 participants created objects based on their own ideas. They rated the device as being "useful for creative exploration", "its ability to sketch at actual scale helped judge fit", and "fun to use."
Harshit Agrawal, Udayan Umapathi, Robert Kovacs, Johannes Frohnhofen, Hsiang-Ting Chen, Stefanie Mueller 0001, Patrick Baudisch
UIST4
2014 faBrickation: fast 3D printing of functional objects by integrating construction kit building blocks
abstract
We present a new approach to rapid prototyping of functional objects, such as the body of a head-mounted display. The key idea is to save 3D printing time by automatically substituting sub-volumes with standard building blocks'in our case Lego bricks. When making the body for a head-mounted display, for example, getting the optical path right is paramount. Users thus mark the lens mounts as "high-resolution" to indicate that these should later be 3D printed. faBrickator then 3D prints these parts. It also generates instructions that show users how to create everything else from Lego bricks. If users iterate on the design later, faBrickator offers even greater benefit as it allows re-printing only the elements that changed. We validated our system at the example of three 3D models of functional objects. On average, our system fabricates objects 2.44 times faster than traditional 3D printing while requiring only 14 minutes of manual assembly.
Stefanie Mueller 0001, Tobias Mohr, Kerstin Guenther, Johannes Frohnhofen, Patrick Baudisch
CHI4