Aesthetics in Visual Training Datasets

Correctly processing accumulated information is beneficial for our survival. Berghman and Hekkert (2017) argue that this is why we humans derive pleasure from having a sense of aesthetics. These aesthetic experiences can be seen as our brain’s reward system for correctly perceiving and interpret- ing the world around us. While our senses have...

Music·Wave: Companion Product for Orthopedic Surgery Patients with AI -Generated Music

Orthopedic surgeries are identified as one of the most noisy surgeries inside the OR (operation room). The highest noise sound level could reach up to around 130 dB, which is harmful to patients’ well-being and are likely to evoke negative feelings during surgery. In the previous study investigating the emotional experience of patients who...

Designing trustworthy Voice Assistants for healthcare: Theory and practice of Voice Assistants for the Outpatient Clinic Healthy Pregnancy

In the Netherlands, the healthcare sector is facing increasing staff shortages and the demand for adequately trained healthcare personnel is expected to increase in the coming years. Shortages in obstetric care mean that not all women and their partners receive the care they need before, during and after pregnancy. To counter these shortages,...

Framing the opportunities of robotics in meaningful autonomous vehicle experiences: An exploration of fundamental needs, AI-systems, and user interfaces

Vehicle automation will increasingly release car drivers from driving tasks, allowing them to engage in previously inconceivable activities. Experiential components are therefore expected to become central in human automotive mobility. In this context, the design of future in-vehicle experiences is a research gap to still discover, that concerns...

Iterative training with human rated images to improve GAN generated image aesthetics: Effects of dataset size and training length

Generative Adversarial Networks (GANs) brought rapid developments in generating synthetic images by mimicking structures in the training data. With the list of application of GANs growing drastically, it has lately become an exciting technology to explore for designers to communicate their ideas and arts through technology and create engaging...

Beauty in the Eye of Machine: Using Automated Measures of Aesthetic Beauty to Improve GAN Output of Satellite Images

This paper aims to evaluate which automated measures of aesthetic beauty are the best predictors for human ratings of aesthetics and proposes that typicality and novelty may increase the correlation between the two. To study the correlation between these metrics, a literature study was performed to find a select amount of potentially good...

How can crowdsourced workers effectively rate artwork images produced by Generative Adversarial Network transformers?

Generative Adversarial Networks (GANs) can create artwork images and we need effective ways of rating their aesthetic values. This could help us determine the most aesthetic artwork images (and identify the GANs that created them) and train GANs to produce more aesthetic artwork images in the future. In this research, we analyzed the...

Using graphics to assess wellbeing in a conversational user interface

With the COVID-19 pandemic testing humanity worldwide in unforeseen ways, wellbeing assessment has stepped to the foreground of individual health status. Conversational User Interfaces (CUIs) prove promising as an assessment tool, but lacking the means to retain users engaged during the process. This research aims to explore a solution...

Designing a dashboard for wellbeing data: A recommendation system for individual wellbeing

Due to COVID-19 the overall wellbeing worldwide decreased. Assessing and improving wellbeing became a more important subject. This article describes the design research that uses the My Wellness Check survey created by the Delft University for Technology and aims to create a dashboard for wellbeing. That includes a way of authenticating users to...

Using Transformers to Generate Wellbeing Questions

With the surge of mental health issues during COVID-19, more emphasis has turned towards assessing wellbeing. At the same time, recent advances in AI have shown huge potential in a variety of fields. However, few solutions are available at the intersection of those two fields. This research explores how the use of transformer models like GPT-3...

To what degree can we use NLP to mine current and trending topics with respect to well-being?

The increase in global internet users brings forth a vast amount of social media users and therefore opinions that are shared online. A subset of those users, adolescents, seem to develop some sort of addiction towards social media, which could lead to low life satisfaction. This paper tries to extract trending topics and their relation to well...

Effects of Adaptive Conversational User Interfaces on Enjoyment and Engagement while assessing Wellbeing

A decrease in wellbeing worldwide due to the COVID-19 pandemic called for ways to assess wellbeing in a scalable and adequate manner. Conversational User Interfaces (CUIs) seem suitable, however, applying them optimally in certain contexts remains a challenge. This study aims to find ways to make CUIs more engaging and have a better experience...