Understanding the Role of Explanation Modality in AI-assisted decision-making

Advances in artificial intelligence and machine learning have led to a steep rise in the adoption of AI to augment or support human decision-making across domains.<br/>There has been an increasing body of work addressing the benefits of model interpretability and explanations to help end-users or other stakeholders decipher the inner workings of...

VisuaLayered: Combined Visual Analysis of MA-XRF and RIS Data

In this work, we present VisuaLayered, the implementation of a combined analysis workflow for pigment identification. VisuaLayered is an integrated, interactive system that focuses on the combined visual analysis of Macro X-Ray Fluorescence (MA-XRF) and Reflectance Imaging Spectroscopy (RIS) data.<br/><br/>Analysing paintings for pigment...

Value-Sensitive Rejection of Machine Learning Predictions for Hate Speech Detection

Hate speech detection on social media platforms remains a challenging task. Manual moderation by humans is the most reliable but infeasible, and machine learning models for detecting hate speech are scalable but unreliable as they often perform poorly on unseen data. Therefore, human-AI collaborative systems, in which we combine the strengths of...

It sounds like Greek to me: Performance of phonetic representations for language identification

This paper compares the performance of two phonetic notations, IPA and ASJPcode, with the alphabetical notation for word-level language identification. Two machine learning models, a Multilayer Percerptron and a Logistic Regression model, are used to classify words using each of the three notations. With both models the IPA notation outperforms...

Detecting Rhyming Words

Rhyming words are one of the most important features in poems. They add rhythm to a poem, and poets use this literary device to portray emotion and meaning to their readers. Thus, detecting rhyming words will aid in adding emotions and enhancing readability when generating poems. Previous studies have been done on the topic of poem generation....

Automatic multimodal detection of team cohesion in meetings

In this thesis the automatic multimodal detection of social and task cohesion in meetings is studied. The presence of social and task cohesion has positive benefits on employee well-being, creativity and productiveness, and can therefore be used to assess meeting quality. Conversational partners imitate each other's body language and speech...