Chris van der Lee
Biographic Data
| ID | 6536420 |
|---|---|
| NAME | Chris van der Lee |
| GIVEN NAMES | Chris |
| FAMILY NAME | van der Lee |
| SIGNATURE | VAN DER LEE C |
| AFFILIATIONS | Tilburg University , Tilburg Center for Cognition and Communication. [email protected] |
| ORCID | 0000-0003-3454-026X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Patient Perspectives on a Digital Assistant for Medication Reconciliation
Medication reconciliation, the process of documenting a patient’s medication, is currently a time-consuming and labor-intensive process. To make medication reconciliation more efficient, digital assistants (DAs) offer a promising solution. Especially since human-like digital interfaces tend to be appreciated by more vulnerable populations such as patients in a low socioeconomic position (SEP). Despite the potential of DAs for low-SEP populations …
Neural Data-to-Text Generation Based on Small Datasets
This study discusses the effect of semi-supervised learning in combination with pretrained language models for data-to-text generation. It is not known whether semi-supervised learning is still helpful when a large-scale language model is also supplemented. This study aims to answer this question by comparing a data-to-text system only supplemented with a language model, to two data-to-text systems that are additionally enriched by a data augment…
Understanding emotional responses to visual aesthetic artefacts
While many models attempt to explain the aesthetic experience, most limit themselves to art as their focal point and only a few look into why we arrive at a certain response to a visual aesthetic object. This article attempts to offer an extension to the current models by focusing on the mechanisms that induce emotions in relation to visual aesthetic objects. It takes Juslin’s (2013) BRECVEM mechanisms – developed for the domain of music – as its…
No prominent works on this page.
Understanding emotional responses to visual aesthetic artefacts
While many models attempt to explain the aesthetic experience, most limit themselves to art as their focal point and only a few look into why we arrive at a certain response to a visual aesthetic object. This article attempts to offer an extension to the current models by focusing on the mechanisms that induce emotions in relation to visual aesthetic objects. It takes Juslin’s (2013) BRECVEM mechanisms – developed for the domain of music – as its…
Neural Data-to-Text Generation Based on Small Datasets
This study discusses the effect of semi-supervised learning in combination with pretrained language models for data-to-text generation. It is not known whether semi-supervised learning is still helpful when a large-scale language model is also supplemented. This study aims to answer this question by comparing a data-to-text system only supplemented with a language model, to two data-to-text systems that are additionally enriched by a data augment…
Patient Perspectives on a Digital Assistant for Medication Reconciliation
Medication reconciliation, the process of documenting a patient’s medication, is currently a time-consuming and labor-intensive process. To make medication reconciliation more efficient, digital assistants (DAs) offer a promising solution. Especially since human-like digital interfaces tend to be appreciated by more vulnerable populations such as patients in a low socioeconomic position (SEP). Despite the potential of DAs for low-SEP populations …
Artificial Intelligence (2 works) · Computer Science (2 works) · Psychology (2 works) · Aesthetic Perception and Analysis (1 work) · Artificial neural network (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Cognitive science (1 work) · Color perception and design (1 work) · Creativity in Education and Neuroscience (1 work)