Publications
Chosen filters:
Chosen filters:
Human-Machine Collaboration for Democratizing Data Science. KU Leuven
Everybody wants to analyse their data, but only few posses the data science expertise to to this. Motivated by this observation we introduce a novel framework and system for human-machine collaboration in data science. It wants to democratize data science by allowing users to interact with standard spreadsheet software in order to perform and automate various data analysis tasks ranging from data wrangling, data selection, clustering, constraint ...
Sex, love and companionship … with AI? Why human-machine relationships could go mainstream University of Antwerp
There was once a stigma attached to online dating: Less than a decade ago, many couples who had met online would make up stories for how they met rather than admit that they had done so via an app. Not so anymore. Online dating is so mainstream that you’re an outlier if you haven’t met your partner on Tinder, Grindr or Hinge. We bring up online dating to show just how quickly conventions around romance can change. With rapid advances in AI ...
Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy KU Leuven
The use of data logging systems for capturing wheelchair and user behavior has increased rapidly over the past few years. Wheelchairs ensure more independent mobility and better quality of life for people with motor disabilities. Especially, for people with complex movement disorders, such as dyskinetic cerebral palsy (DCP) who lack the ability to walk or to handle objects, wheelchairs offer a means of integration into daily life. The mobility ...
Human-Machine Interaction Issues in Quality Control Based on On-Line Image Classification KU Leuven
This paper considers on a number of issues that arise when a trainable machine vision system learns directly from humans. We contrast this to the "normal" situation where Machine Learning techniques are applied to a "cleaned" data set which is considered perfectly labelled with complete accuracy. This study is done within the context of a generic system for the visual surface inspection of manufactured parts, however, the issues treated are ...
Towards Human-Machine Sonic Interactions: Mapping Human Dance Gestures onto Robots Ghent University
,
On Human-Machine Interaction During Online Image Classifier Training KU Leuven
This paper considers a number of issues that arise when a trainable machine vision system learns directly from humans, rather than from a "cleaned" data set, i.e.\ data items which are perfectly labelled with complete accuracy. This is done within the context of a generic system for the visual surface inspection of manufactured parts. The issues treated are relevant not only to wider computer vision applications, but also to classification more ...
On Human-Machine Interaction During Online Image Classifier Training KU Leuven
This paper considers a number of issues that arise when a trainable machine vision system learns directly from humans, rather than from a "cleaned" data set, i.e.\ data items which are perfectly labelled with complete accuracy. This is done within the context of a generic system for the visual surface inspection of manufactured parts. The issues treated are relevant not only to wider computer vision applications, but also to classification more ...
Modulations of one’s sense of agency during human-machine interactions : a behavioral study using a full humanoid robot Ghent University
Although previous investigations reported a reduced sense of agency when individuals act with traditional machines, little is known about the mechanisms underpinning interactions with human-like automata. The aim of this study was twofold: (1) to investigate the effect of the machine’s physical appearance on the individuals’ sense of agency, and (2) to explore the cognitive mechanisms underlying the individuals’ sense of agency when they are ...