From Clicks to Cues: Exploring user behaviour as a language in music video consumption

As music video streaming occupies a significant market share in how people consume music, gaining an understanding of user behavioural patterns becomes increasingly crucial. This understanding can enable better music video streaming experiences by tailoring them towards more personalized and user-centric designs. Though prior works have...

Investigating Body Gestures as Means of Input Modalities in Crowdsourced Microtasks

Microtask crowdsourcing has grown in popularity in recent years. Microtasking is a form of crowdsourcing in which typically small, simple tasks are distributed over the Internet to a large number of people, also known as workers. Workers are highly susceptible to developing musculoskeletal disorders due to prolonged computer use and the...

Safeguarding inclusion when using gestures in microtask crowdsourcing

Microtask crowdsource workers are negatively influenced, mentally as well as physically, by the repetitive nature of the tasks they perform. Research is ongoing on whether using a gesture-based input technique could mitigate these negative effects. This paper identifies possible ways that using gestures as an alternative input modality could...

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...

Investigating Feasibility of Webcam-Based Eye-Tracking as an Alternative Input Modality for Micro-Task Work

People who perform work on micro-task crowdsourcing platforms, often do so using a mouse and/or keyboard for many hours at a time, while alternative modes of input could potentially provide a better experience. This research investigates the feasibility of using webcam-based eye-tracking in a micro-task work environment. We accomplish this by...

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...

Investigating Webcam-based Hand-tracking for Navigation in Micro-task Crowdsourcing

The health of micro-task crowdsourcing workers, also called crowdworkers, is something that is overlooked in the micro-task crowdsourcing literature. Due to repetitive tasks, they can develop Repetitive Strain Injuries. To look into other ways of navigating Crowdsourcing Work Environments (CSWEs) outside the mouse and keyboard paradigm, we...

Analyzing the health status of crowd workers compared to desk workers

Microtask crowdsourcing workers, also known as crowd workers, perform small tasks known as microtasks.<br/>These people use crowdsourcing platforms to complete these microtasks.<br/>Crowd workers have to work in front of a screen to complete these microtasks, risking musculoskeletal problems and other mental problems.<br/>Their working...