Demo Data from SIGIR 2026 / reviewers in the wild / expert
Fjolla Mjaku
dblp:319/3374
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
shared control |
0.7 | 1 | 2023 | Handheld Tools Unleashed: Mixed-Initiative Physical Sketching with a Robotic Printer · CHI 2023 |
Personal fabrication and tangible interfaces
sensor fabrication |
0.6 | 1 | 2022 | Print-A-Sketch: A Handheld Printer for Physical Sketching of Circuits and Sensors on Everyday Surfaces · CHI 2022 |
Interaction techniques and input
freehand drawing |
0.4 | 2 | 2023 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Handheld Tools Unleashed: Mixed-Initiative Physical Sketching with a Robotic PrinterabstractPersonal 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 |
CHI | 2 |
| 2022 | Print-A-Sketch: A Handheld Printer for Physical Sketching of Circuits and Sensors on Everyday SurfacesabstractWe 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 |
CHI | 3 |