document

Using Social Signal Processing and Conversational Agent To Aid People in their Negotiation Skills: Self-awareness through Mimicry

Chen, Weilun (author)

Negotiation is not a skill that comes naturally to most people. However, most people could benefit from attaining good negotiation skills. Non-verbal behaviour plays an important role in negotiations. Previous studies have shown a link between mimicry through conversational agents and self-regulation of non-verbal behaviour. The current study...

master thesis 2023

document

An Educational module using Sensemaking elements by Student teams

Martin Hoogerwaard, Conchita (author)

master thesis 2023

document

The generalizability of argument quality dimensions in NLP models

Nguyen, Jakub (author)

This research revolves around measuring the quality of arguments. High-quality arguments help in improving political discussions, resulting in better decision-making. Wachsmuth et al. developed a taxonomy breaking down argument quality into several dimensions. This work makes use of that taxonomy and combines it with modern NLP models. A cross...

master thesis 2023

document

Constructing a Pluralist Moral Sentence Embedding Space using Contrastive Learning

Park, Jeongwoo (author)

Moral values influence humans in decision-making. Pluralist moral philosophers argue that human morality can be represented by a finite number of moral values, respecting the differences in moral views. Recent advancements in NLP show that language models retain a discernible level of knowledge in deontological ethics and moral norms of society....

master thesis 2023

document

Evaluating the effectiveness of large language models in meeting summarization with transcript segmentation techniques: How well does gpt-3.5-turbo perform on meeting summarization with topic and context-length window segmentation?

Sándor, Kristóf (author)

Large Language Models (LLM) have brought significant performance increase on many Natural Language Processing tasks. However LLMs have not been tested for meeting summarization. This research paper examines the effectiveness of the gpt-3.5-turbo model on the meeting summarization domain. However due to input length limitations, it cannot be...

bachelor thesis 2023

document

Exploring Stance Detection of Opinion Texts: Evaluating the Performance of a Large Language Model: Benchmarking the Performance of Stance Classification by GPT-3-Turbo

Mateijsen, Niels (author)

In April 2020, a Dutch research team swiftly analyzed public opinions on COVID-19 lockdown relaxations. However, due to time constraints, only a small amount of opinion data could be processed. With the surge of popularity in the field of Natural Language Processing (NLP) and the arrival of tools like ChatGPT, a number of tasks involving Large...

bachelor thesis 2023

document

Automatic text-based speech overlap classification: A novel approach using Large Language Models

Domhof, Jan (author)

Meetings are the keystone of a good company. They allow for quick decision making, multiple-perspective problem solving and effective communication. However, most employees and managers have a negative view on the efficiency and quality of their meetings. High quality meetings where every participant feels equally heard and respected is crucial...

bachelor thesis 2023

document

Zero-shot learning for (dis)agreement detection in meeting trancripts: Comparing latent topic models and large language models

de Weerd, Daniël (author)

This paper presents a novel approach to detect agreement and disagreement moments between participants in meeting transcripts without relying on labeled data. We propose a model in which disagreement detection is defined as the process of first identifying argumentative theses relevant to a given corpus of text and then classifying all phrases...

bachelor thesis 2023

document

Designing Graphical User Interface To Elicit Personal Values: How does a graphical user interface that uses in comparison questioning influence the accuracy of user value model?

Krupskis, Martynas (author)

Behavior support applications require an understanding of the user's values to provide personalized support. User models have been developed to capture this relationship, but they may not always address unforeseen circumstances due to the changing nature of human values. To address this, the ability to update value models in real-time is crucial...

bachelor thesis 2023

document

Revealing the secret to successful virtual meetings: How personality, social skills, and more impact conversational involvement: What is the relation between lexical alignment and group involvement in online meetings?

Rijm, Matthijs (author)

Involvement in an online setting has become increasingly more important in a rapidly digitizing world. Previous research has suggested that lexical alignment is an effective method for increasing interpersonal involvement. Multi-modal systems exist for analysing involvement, but the lexical alignment modality is not commonly used in these. This...

bachelor thesis 2023

document

Revealing the Secret to Successful Virtual Meetings: The Influence of Individual Backgrounds on Conversational Involvement in Group Settings

Hobai, Ana (author)

Since the recent rise and advancement of video conferencing platforms such as Zoom, it has become important to interpret the logistics of remote online meetings. Analysing verbal and non-verbal cues (such as body language) between members of these virtual forums can provide additional information regarding the level of conversational involvement...

bachelor thesis 2023

document

Revealing the secret to successful virtual meetings: How personality traits impact conversational involvement in a group

Li, Andy (author)

With the rise in popularity of online conferencing platforms such as Zoom and Teams, there is an increasing need to understand the dynamics of virtual meetings to enhance productivity. One key aspect that can contribute to productive online meetings is conversational involvement. Personality traits influence the behaviour of participants within...

bachelor thesis 2023

document

The accuracy of an audio interface designed for value elicitation: Eliciting personal values from the users to build responsible AI

Voorneveld, Elvira (author)

Behavior support applications aim to provide personalized and flexible support to users in various domains. To achieve this, understanding users' preferences, values, and context is crucial. Creating user models that incorporate users' norms and values has been proposed as a solution to capture the relationship between desired behaviors and...

bachelor thesis 2023

document

Revealing the Secret to Successful Virtual Meetings: How Personality, Social Skills, and More Impact Conversational Involvement: Do people that are assessed as better conversational partners have a higher level of involvement?

de Melo e Silva Blasques de Holtreman, Sebas (author)

The importance of understanding how to maximize involvement in virtual meetings has been greatly increased due to the rapid rise of video conferencing tools during the COVID-19 pandemic. This research builds upon the data collected by the MEMO Corpus, specifically interview footage and annotated data, and will aim to explore the various factors...

bachelor thesis 2023

document

Evaluating the Accuracy of User Values Elicited through a Textual Interface: Conducting a user study with a textual interface using questions in isolation to capture user values

Kastelein, Pien (author)

This research paper focuses on the accuracy and limitations of user values elicited through a textual interface with questions asked in isolation. The primary objective was to conduct a user study using a textual interface that uses questions in isolation to assess the effectiveness and accuracy of this interface type and questioning style. The...

bachelor thesis 2023

document

Accuracy of textual interfaces using comparative questions to elicit personal value-related information from the users for building responsible AI

Vizuroiu, Beatrice (author)

Individuals seeking a healthier lifestyle can benefit from behavior support agents. Customization and transparency are crucial for system effectiveness. This paper proposes using behavior trees as a user model, with a conversational agent extracting necessary information. The conversational interface enhances transparency, allowing users to...

bachelor thesis 2023

document

Eliciting Personal Values through Isolation Questioning: A Graphical Interface Approach

Mendez, Selena (author)

The alignment of behavior support systems with our personal values becomes increasingly important as behavior support systems continue to influence our daily lives. The purpose of this paper was to explore the use of graphical interfaces and isolation questions to elicit personal values and build accurate user models. An experiment was conducted...

bachelor thesis 2023

document

Mechanism to detect mismatches and provide recommendations about the users' preference in negotiation support systems: A case study about issue weight mismatches with the pocket negotiator

Xuan, Yuhao (author)

Negotiation Support Systems (NSSs) can provide help based on the preference setting (domain, issue weights, issue ranking, strategies, etc.) of the users of the systems. However, sometimes the users of the systems might make mistakes in the preference setting. With wrong preferences, the NSSs might provide suggestions that conflict with the...

master thesis 2023

document

Exploring the effect of gestures on perceived integrity in human-agent interaction

van Rossum, Alan (author)

This research set out to find whether the use of gestures by virtual embodied agents could affect perceptions of integrity by humans. 48 participants played a quiz with the assistance of a gesturing and an idle agent. Likert scales were used to evaluate their perceptions of integrity, which showed no significant difference between either agent....

master thesis 2022

document

Active Learning with Multi-annotator Disagreement

Schrama, Mei Lan (author)

Moral values are often used as guidelines for human behaviour. The ability to identify moral values is important for social and ethical artificial intelligence. We address the difficulties of using contemporary natural language processing (NLP) techniques to classify moral values in texts. As the classification criterion of moral values is...

master thesis 2022