Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Fjolla Mjaku

dblp:319/3374 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0002-5019-5331ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 2 · 2 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
2 papers
Personal fabrication and tangible interfaces · 64% Human-robot interaction · 23% Interaction techniques and input · 13%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
shared control
0.712023
Handheld Tools Unleashed: Mixed-Initiative Physical Sketching with a Robotic Printer · CHI 2023
Personal fabrication and tangible interfaces
sensor fabrication
0.612022
Print-A-Sketch: A Handheld Printer for Physical Sketching of Circuits and Sensors on Everyday Surfaces · CHI 2022
Interaction techniques and input
freehand drawing
0.422023
Handheld Tools Unleashed: Mixed-Initiative Physical Sketching with a Robotic Printer · CHI 2023
Print-A-Sketch: A Handheld Printer for Physical Sketching of Circuits and Sensors on Everyday Surfaces · CHI 2022

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

mixed-initiative interaction · 0.7continuous sensing · 0.6context-aware dynamic printing · 0.6
YearPublicationVenuePosition
2023 Handheld Tools Unleashed: Mixed-Initiative Physical Sketching with a Robotic Printer
abstract
Personal fabrication has mostly focused on handheld tools as embodied extensions of the user, and machines like laser cutters and 3D printers automating parts of the process without intervention. Although interactive digital fabrication has been explored as a middle ground, existing systems have a fixed allocation of user intervention vs. machine autonomy, limiting flexibility, creativity, and improvisation. We explore a new class of devices that combine the desirable properties of a handheld tool and an autonomous fabrication robot, offering a continuum from manual and assisted to autonomous fabrication, with seamless mode transitions. We exemplify the concept of mixed-initiative physical sketching with a working robotic printer that can be handheld for free-hand sketching, can provide interactive assistance during sketching, or move about for computer-generated sketches. We present interaction techniques to seamlessly transition between modes, and sketching techniques benefitting from these transitions to, e.g., extend (upscale, repeat) or revisit (refine, color) sketches. Our evaluation with seven sketchers illustrates that RoboSketch successfully leverages each mode’s strengths, and that mixed-initiative physical sketching makes computer-supported sketching more flexible.
Narjes Pourjafarian, Fjolla Mjaku, Marion Koelle, Martin Schmitz 0001, Jan O. Borchers, Jürgen Steimle
CHI2
2022 Print-A-Sketch: A Handheld Printer for Physical Sketching of Circuits and Sensors on Everyday Surfaces
abstract
We present Print-A-Sketch, an open-source handheld printer prototype for sketching circuits and sensors. Print-A-Sketch combines desirable properties from free-hand sketching and functional electronic printing. Manual human control of large strokes is augmented with computer control of fine detail. Shared control of Print-A-Sketch supports sketching interactive interfaces on everyday objects – including many objects with materials or sizes which otherwise are difficult to print on. We present an overview of challenges involved in such a system and show how these can be addressed using context-aware, dynamic printing. Continuous sensing ensures quality prints by adjusting inking-rate to hand movement and material properties. Continuous sensing also enables the print to adapt to previously printed traces to support incremental and iterative sketching. Results show good conductivity on many materials and high spatial precision, supporting on-the-fly creation of functional interfaces.
Narjes Pourjafarian, Marion Koelle, Fjolla Mjaku, Paul Strohmeier, Jürgen Steimle
CHI3