Publications related to Method Bundles

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Persuasive social robots have the ability to influence human behaviour through social interaction, which makes them a valuable technological solution for all applications aiming to support a person's behaviour change. The recently proposed Child-Robot Rela ...

The rise of robotic body augmentation brings forth new developments that will transform robotics, human-machine interaction, and wearable electronics. Extra robotic limbs, although building upon restorative technologies, bring their own set of challenges i ...

The convergence of new technologies enabling the reuse of in-space transportation, on-orbit servicing, and in-situ resource mining and transformation, coupled with significant interest in ambitious missions such as robotic and crewed Lunar and Mars mission ...

Despite scientific and technological advances in the field of assistive technology (AT) for people with visual impairment (VI), technological designs are frequently based on a poor understanding of the physical and social context of use, resulting in devic ...

The main goal of my research is to establish guidelines for workplace design based on human biomechanics: specifically sitting workplaces and handling areas in 1/6G-1/3G (Moon, Mars) conditions. Such a workplace could be used in long-term space missions in ...

Recommendations with personalized explanations have been shown to increase user trust and perceived quality and help users make better decisions. Moreover, such explanations allow users to provide feedback by critiquing them. Several algorithms for recomme ...

Nowadays, search engines, social media or news aggregators are the preferred services for news access. Aggregation is mostly based on artificial intelligence technologies raising a new challenge: Trust has been ranked as the most important factor for media ...

The booming popularity of online services has led to a major evolution in the way these services are built and deployed. To cope with such online data-intensive services, service providers deploy several massive-scale datacenters, also referred to as wareh ...

In this paper, we propose and evaluate a novel human-machine interface (HMI) for controlling a standing mobility vehicle or person carrier robot, aiming for a hands-free control through upper-body natural postures derived from gaze tracking while walking. ...

The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, we show that we can train a Deep Net to perform 3D volumetric delineation giv ...

Recent trends in multimedia technologies indicate a significant growth of interest for new imaging modalities that aim to provide immersive experiences by increasing the engagement of the user with the content. Among other solutions, point clouds denote an ...

Mobility is a central aspect of our life, and our movements reveal much more about us than simply our whereabouts. In this thesis, we are interested in mobility and study it from three different perspectives: the modeling perspective, the information-theor ...

raumatic or pathological brain lesions often result in motor disabilities that have strong personal and social effects. Assistive technologies can support this population, potentially improving their autonomy and promoting their participation in society. H ...

OBJECTIVES: Brain-computer interfaces (BCIs) are no longer only used by healthy participants under controlled conditions in laboratory environments, but also by patients and end-users, controlling applications in their homes or clinics, without the BCI exp ...

This research was motivated by our interest in understanding the criteria for measuring the success of a recommender system from users’ point view. Even though existing work has suggested a wide range of criteria, the consistency and validity of the combin ...

We consider the problem of learning robust models of robot motion through demonstration. An approach based on Hidden Markov Model (HMM) and Gaussian Mixture Regression (GMR) is proposed to extract redundancies across multiple demonstrations, and build a ti ...

This article reports on the results of a user study investigating the satisfaction of naïve users conducting two learning by demonstration tasks with the HOAP-3 robot. The main goal of this study was to gain insights on how to ensure a successful as well a ...

Conversational recommender systems are designed to help users to more efficiently navigate complex product spaces by alternatively making recommendations and inviting users' feedback. Compound critiquing techniques provide an efficient way for users to fee ...

In Web-based information commerce it is diffcult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes crucial to define an abstract model for business processes and their ma ...

Method Bundles

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The Child-Robot Relational Norm Intervention to Promote Correct Handwriting Posture for Children

Investigating neural resource allocation in the sensorimotor control of extra limbs

Connecting Space Logistics and Architecture - a Pattern Language for Robust Mission Design

Assessing the implementation of user-centred design standards on assistive technology for persons with visual impairments: a systematic review

Biomechanics at the workplace under hypogravity conditions

Multi-Step Critiquing User Interface for Recommender Systems

Trust Indicators and Explainable AI: A Study on User Perceptions

Hardware-Software Co-Design of an RPC Processor

Control Interface for Hands-free Navigation of Standing Mobility Vehicles based on Upper-Body Natural Movements

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

A novel methodology for quality assessment of voxelized point clouds

Mining, Modeling and Predicting Mobility

Multidisciplinary design of suitable assistive technologies for motor disabilities in Colombia

Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users

A User-Centric Evaluation Framework for Recommender Systems

Handling of multiple constraints and motion alternatives in a robot programming by demonstration framework

Teaching a Humanoid: A User Study on Learning by Demonstration with HOAP-3

Communication and Visualization of 3D Urban Spatial Data According to User Requirements: Case Study of Geneva

Evaluating compound critiquing recommenders: A real-user study

Separating Business Process from User Interaction in Web-Based Information Commerce