A5091887839- Language and cultural evolution
- Natural Language Processing Techniques
- Social Robot Interaction and HRI
- Image Processing and 3D Reconstruction
- Digital Humanities and Scholarship
- Reinforcement Learning in Robotics
- Image Retrieval and Classification Techniques
- Interactive and Immersive Displays
- Child and Animal Learning Development
- 3D Surveying and Cultural Heritage
- Linguistics and Discourse Analysis
- Cultural Insights and Digital Impacts
- Semantic Web and Ontologies
- Augmented Reality Applications
- Handwritten Text Recognition Techniques
- Digital Games and Media
- Robot Manipulation and Learning
- Speech and dialogue systems
- Humor Studies and Applications
- Innovative Teaching and Learning Methods
- Geographic Information Systems Studies
- Rousseau and Enlightenment Thought
- Cultural Heritage Materials Analysis
- AI in Service Interactions
- Gaze Tracking and Assistive Technology
École Polytechnique Fédérale de Lausanne
2016-2025
Centre National de la Recherche Scientifique
2023
Centre Pompidou
2023
Marmara University
2020
University of Freiburg
2014
Finland University
2014
University of Eastern Finland
2014
Institut Universitaire de France
2013
Human Computer Interaction (Switzerland)
2013
Sony (France)
2002-2007
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Exploratory activities seem to be intrinsically rewarding for children and crucial their cognitive development. Can a machine endowed with such an intrinsic motivation system? This is the question we study in this paper, presenting number of computational systems that try capture drive towards novel or curious situations. After discussing related research coming from developmental psychology,...
Intrinsic motivation, the causal mechanism for spontaneous exploration and curiosity, is a central concept in developmental psychology. It has been argued to be crucial open-ended cognitive development humans, as such gathered growing interest from roboticists recent years. The goal of this paper threefold. First, it provides synthesis different approaches intrinsic motivation Second, by interpreting these computational reinforcement learning framework, we argue that they are not operational...
Are robots perceived in the same manner West and Japan? This article presents a preliminary exploration of several aspects Japanese culture survey most important myths novels involving artificial beings Western literature. Through this analysis, tries to shed light on particular cultural features that may account for contemporary differences our behavior towards humanoids.
This paper explores the hypothesis that language communication in its very first stage is bootstrapped a social learning process under strong influence of culture. A concrete framework for has been developed based on notion game. Autonomous robots have programmed to behave according this framework. We show experiments demonstrate why there be causal role category acquisition; partly by showing it leads effectively bootstrapping and other forms do not generate categories usable or make...
This article discusses the concept of joint attention and different skills underlying its development. Research in developmental psychology clearly states that development to understand, manipulate coordinate attentional behavior plays a pivotal role for imitation, social cognition language. However, beside fact has recently received an increasing interest robotics community, existing models concentrate only on partial isolated elements these phenomena. In line Tomasello’s research, we argue...
We analyze classroom orchestration as a question of usability in which the is user. Our experiments revealed design features that reduce global load. According to our studies vocational schools, paper-based interfaces have potential making educational workflows tangible, i.e. both visible and manipulable. university classes converge on minimalism: they reveal effectiveness o tools make what invisible but do not analyze, predict or decide for teachers. These third circle usability. The first...
In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies. We argue that the diversity of historical tasks prohibits to solve them one at a time and shows need for generic approaches in order handle variability series. this paper, we address simultaneously such as page extraction, baseline layout analysis or typologies illustrations photograph extraction. propose an open-source implementation...
Purpose An overview of the current use handwritten text recognition (HTR) on archival manuscript material, as provided by EU H2020 funded Transkribus platform. It explains HTR, demonstrates , gives examples cases, highlights affect HTR may have scholarship, and evidences this turning point advanced digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This adopts a case study approach, using development delivery one openly available platform for...
Children seem to acquire new know-how in a continuous and open-ended manner. In this paper, we hypothesize that an intrinsic motivation progress learning is at the origins of remarkable structure children's developmental trajectories. view, children engage exploratory playful activities for their own sake, not as steps toward other extrinsic goals. The central hypothesis paper intrinsically motivating correspond expected decrease prediction error. This system pushes infant avoid both...
We describe an interactive table designed for supporting face-to-face collaborative learning. The table, Reflect, addresses the issue of unbalanced participation during group discussions. By displaying on its surface, a shared visualization member participation, is meant to encourage participants avoid extremes over and underparticipation. report user study that validates some our hypotheses effect would have users. Namely, we show Reflect leads more balanced collaboration, but only under...
The slowing down of Moore's law and the emergence new technologies puts an increasing pressure on field EDA. There is a constant need to improve optimization algorithms. However, finding implementing such algorithms difficult task, especially with novel logic primitives potentially unconventional requirements emerging technologies. In this paper, we cast as deterministic Markov decision process (MDP). We then take advantage recent advances in deep reinforcement learning build system that...
As large language models (LLMs) converge towards similar capabilities, the key to advancing their performance lies in identifying and incorporating valuable new information sources. However, evaluating which text collections are worth substantial investment required for digitization, preprocessing, integration into LLM systems remains a significant challenge. We present novel approach this challenge: an automated pipeline that evaluates potential gain from without requiring model training or...
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking automatically process facsimiles extract information thereby are multiplying with, as a first essential step, document layout analysis. If identification categorization segments interest in images have seen significant progress years thanks deep learning techniques, many challenges remain among others, use finer-grained...
This study explores the 4D reconstruction of part monumental heritage St. Mark’s Square in Venice, contextualizing modeling its evolution broader field digital historiography. The presented methodology is based on comparing plausibility proposed 3D models with current point cloud and historiographical hypotheses that have been compared to problem planimetric volumetric simulation buildings. Methods include integrating temporal data simulate architectural urban evolution, providing a dynamic...
The advancement of computational tools for cartometric analysis has opened new avenues the identification and understanding stemmatic relationships between historical maps through their planimetric distortions. 19th-century Western cartographic depiction Jerusalem serves as an ideal case study in this context. challenges conducting comprehensive onsite surveys—due to limited time local knowledge—combined with fascination surrounding area’s representation, resulted a proliferation marked by...
What kind of motivation drives child language development? This article presents a computational model and robotic experiment to articulate the hypothesis that children discover communication as result exploring playing with their environment. The considered agent is intrinsically motivated towards situations in which it optimally progresses learning. To experience optimal learning progress, must avoid already familiar but also where nothing can be learned. robot placed an environment both...