Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jannik Peters 0002
dblp:187/9581-2
· DBLP profile ↗
4ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0003-0822-7202ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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
1 paper |
Personal fabrication and tangible interfaces · 100% | |
| Computer graphics and multimedia
1 paper |
Computational fabrication · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Personal fabrication and tangible interfaces
shape-changing interfaces |
0.2 | 1 | 2016 | aeroMorph - Heat-sealing Inflatable Shape-change Materials for Interaction Design · UIST 2016 |
Personal fabrication and tangible interfaces
programmable materials |
0.1 | 1 | 2016 | aeroMorph - Heat-sealing Inflatable Shape-change Materials for Interaction Design · UIST 2016 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.5CNC machining · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Humanlike Emergent Language in Multi-Agent Systems
Jannik Peters 0002 |
AAMAS | 1 |
| 2025 | Emergent language: a survey and taxonomyabstractAbstract The field of emergent language represents a novel area of research within the domain of artificial intelligence, particularly within the context of multi-agent reinforcement learning. Although the concept of studying language emergence is not new, early approaches were primarily concerned with explaining human language formation, with little consideration given to its potential utility for artificial agents. In contrast, studies based on reinforcement learning aim to develop communicative capabilities in agents that are comparable to or even superior to human language. Thus, they extend beyond the learned statistical representations that are common in natural language processing research. This gives rise to a number of fundamental questions, from the prerequisites for language emergence to the criteria for measuring its success. This paper addresses these questions by providing a comprehensive review of relevant scientific publications on emergent language in artificial intelligence. Its objective is to serve as a reference for researchers interested in or proficient in the field. Consequently, the main contributions are the definition and overview of the prevailing terminology, the analysis of existing evaluation methods and metrics, and the description of the identified research gaps. Jannik Peters 0002, Constantin Waubert de Puiseau, Hasan Tercan, Arya Gopikrishnan, Gustavo Adolpho Lucas de Carvalho, Christian Bitter, Tobias Meisen |
Auton. Agents Multi Agent Syst. | 1 |
| 2018 | KinetiX - designing auxetic-inspired deformable material structures
Jifei Ou, Zhao Ma, Jannik Peters 0002, Sen Dai, Nikolaos Vlavianos, Hiroshi Ishii 0001 |
Comput. Graph. | 3 |
| 2016 | aeroMorph - Heat-sealing Inflatable Shape-change Materials for Interaction DesignabstractThis paper presents a design, simulation, and fabrication pipeline for making transforming inflatables with various materials. We introduce a bending mechanism that creates multiple, programmable shape-changing behaviors with inextensible materials, including paper, plastics and fabrics. We developed a software tool that generates these bending mechanism for a given geometry, simulates its transformation, and exports the compound geometry as digital fabrication files. We show a range of fabrication methods, from manual sealing, to heat pressing with custom stencils and a custom heat-sealing head that can be mounted on usual 3-axis CNC machines to precisely fabricate the designed transforming material. Finally, we present three applications to show how this technology could be used for designing interactive wearables, toys, and furniture. Jifei Ou, Mélina Skouras, Nikolaos Vlavianos, Felix Heibeck, Chin-Yi Cheng, Jannik Peters 0002, Hiroshi Ishii 0001 |
UIST | 6 |