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Concept

Symbolic interactionism

Related publications (19)

Predicting the long-term collective behaviour of fish pairs with deep learning

Francesco Mondada, Alexandre Massoud Alahi, Vaios Papaspyros

Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social in ...

2024

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Vaios Papaspyros

As the field of ethology advances, especially over the past two decades, the role of animal-robot interaction tools has increasingly become essential. This importance arises from the need for controlled, repetitive, repeatable, and long-duration experiment ...

EPFL2023

The Metaverse as a Virtual Model of Platform Urbanism: Its Converging AIoT, XReality, Neurotech, and Nanobiotech and Their Applications, Challenges, and Risks

Simon Elias Bibri

With their exponentially rising computational power, digital platforms are heralding a new era of hybrid intelligence. There has recently been much enthusiasm and hype that the Metaverse has the potential to unlock hybrid intelligence. This is premised on ...

MDPI2023

Focus on People: Five Qestions from Human-Centered Computing

Daniel Gatica-Perez

A substantial body of research in multimodal interaction has studied how people naturally interact -face-to-face and through machinesand developed technology to analyze, support, and extend such forms of interaction. The talk will share personal experience ...

Assoc Computing Machinery2022

Explainability and Graph Learning From Social Interactions

Ali H. Sayed, Stefan Vlaski, Valentina Shumovskaia, Konstantinos Ntemos

Social learning algorithms provide models for the formation of opinions over social networks resulting from local reasoning and peer-to-peer exchanges. Interactions occur over an underlying graph topology, which describes the flow of information among the ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Deep Learning Methods for Socially-Aware Human Trajectory Forecasting

Parth Ashit Kothari

The ability to forecast human motion, called ``human trajectory forecasting", is a critical requirement for mobility applications such as autonomous driving and robot navigation. Humans plan their path taking into account what might happen in the future. S ...

EPFL2022

Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting

Alexandre Massoud Alahi, Parth Ashit Kothari

Human trajectory forecasting in crowds presents the challenges of modelling social interactions and outputting collision-free multimodal distribution. Following the success of Social Generative Adversarial Networks (SGAN), recent works propose various GAN- ...

IEEE Institute of Electrical and Electronics Engineers2023

Control Strategies for Lower-limb Exoskeletons: from Full Mobilization to Assistance of Balance

Romain Pierre François Baud

Bipedal locomotion is a remarkable feature of humans. This skill is necessary for the activities of daily living. Unfortunately, many people only partially benefit from it or miss it entirely because of a disability. This may result in a slower gait, less ...

EPFL2020

Learning By Collaborative Teaching : An Engaging Multi-Party CoWriter Activity

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Laila Abdelsalam El-Hamamsy, Thibault Lucien Christian Asselborn, Jauwairia Nasir

This paper presents the design of a novel and engaging collaborative learning activity for handwriting where a group of participants simultaneously tutor a Nao robot. This activity was intended to take advantage of both collaborative learning and the learn ...

2019

Follow the dummy: measuring the influence of a biomimetic robotic fish-lure on the collective decisions of a zebrafish shoal inside a circular corridor

Francesco Mondada, Frank Bonnet

Robotic agents that are accepted by animals as conspecifics are very powerful tools in behavioral biology because of the ways they help in studying social interactions in gregarious animals. In recent years, we have developed a biomimetic robotic fish lure ...

2018

Digital Heritage: Bringing New Life to the Montreux Jazz Festival's Audio-Visual Archives with Immersive Installations

Nicolas Henchoz, Allison Elizabeth Crank

To revive the Montreux Jazz Festival's archival live-concert footage, three immersive installations were designed using three different principles of augmentation, physicality and interaction. The primary aim was to engage the user in a new relationship wi ...

MIT PRESS2018

Towards Norm Realization in Institutions Mediating Human-Robot Societies

Alcherio Martinoli, Alicja Barbara Roelofsen

Social norms are the understandings that govern the behavior of members of a society. As such, they regulate communication, cooperation and other social interactions. Robots capable of reasoning about social norms are more likely to be recognized as an ext ...

2018

Atomistic Simulations of The Structure of Calcium Silicate Hydrates: Interlayer Positions, Water Content And A General Structural Brick Model

Aslam Kunhi Mohamed

Portland cement has been in use by human civilization for over a century. Yet, we do not fully understand its hydration reaction mechanisms due to the complexity of the system and its continued reaction over time making it hard to study it experimentally. ...

EPFL2018

Social Interaction and the City: The Effect of Space on the Reduction of Entropy

João Vitor Meirelles de Miranda

How can individual acts amount to coherent systems of interaction? In this paper, we attempt to answer this key question by suggesting that there is a place for cities in the way we coordinate seemingly chaotic decisions. We look into the elementary proces ...

2017

Towards the Use of Social Interaction Conventions as Prior for Gaze Model Adaptation

Jean-Marc Odobez, Yu Yu, Rémy Alain Siegfried

Gaze is an important non-verbal cue involved in many facets of social interactions like communication, attentiveness or attitudes. Nevertheless, extracting gaze directions visually and remotely usually suffers large errors because of low resolution images, ...

ACM2017

Unaltered cocaine self-administration in the prenatal LPS rat model of schizophrenia

Although cocaine abuse is up to three times more frequent among schizophrenic patients, it remains unclear why this should be the case and whether sex influences this relationship. Using a maternal immune activation model of schizophrenia, we tested whethe ...

Pergamon-Elsevier Science Ltd2016

Examining the effects of social media in co-located classrooms: A case study based on SpeakUp

Denis Gillet, Adrian Christian Holzer, Maria Jesus Rodriguez Triana, Luis Pablo Prieto Santos

The broad availability of mobile computing devices has prompted the apparition of social media applications that support teaching and learning. However, so far, there is conflicting evidence as to whether the benefits such applications provide in terms of ...

Springer International Publishing2016

Let Your Body Speak: Communicative Cue Extraction on Natural Interaction Using RGBD Data

Daniel Gatica-Perez

Employment interviews are relevant scenarios for the study of social interaction. In this setting, social skills play an important role, even though the interactions between potential employers and candidates are often limited. One fundamental aspect of so ...

Ieee-Inst Electrical Electronics Engineers Inc2015

A Wearable Camera Detects Gaze Peculiarities during Social Interactions in Young Children with Pervasive Developmental Disorders

Aude Billard, Patrick Jermann, Basilio Noris, Silvia Magrelli

We report on the study of gazes, conducted on children with pervasive developmental disorders (PDD), by using a novel head-mounted eye-tracking device called the WearCam. Due to the portable nature of the WearCam, we are able to monitor naturalistic intera ...

Ieee-Inst Electrical Electronics Engineers Inc2014