Explainable Cross-Topic Stance Detection for Search Results

One way to help users navigate debated topics online is to apply stance detection in web search. Automatically identifying whether search results are against, neutral, or in favor could facilitate diversification efforts and support interventions that aim to mitigate cognitive biases. To be truly useful in this context, however, stance...

Viewpoint Diversity in Search Results

Adverse phenomena such as the search engine manipulation effect (SEME), where web search users change their attitude on a topic following whatever most highly-ranked search results promote, represent crucial challenges for research and industry. However, the current lack of automatic methods to comprehensively measure or increase viewpoint...

Comprehensive viewpoint representations for a deeper understanding of user interactions with debated topics

Research in the area of human information interaction (HII) typically represents viewpoints on debated topics in a binary fashion, as either against or in favor of a given topic (e.g., the feminist movement). This simple taxonomy, however, greatly reduces the latent richness of viewpoints and thereby limits the potential of research and...

Determining viewing points for catoptric anamorphoses

Finding good viewpoints for catoptric anamorphoses by hand is hard. However, it should be possible to find the optimal viewpoint using just the specifications of the mirror. This problem is solved by first generating a set of candidate viewpoints using the specifications of the mirror. Then all candidates are ranked based on metrics like visible...

Active Perception in Autonomous Fruit Harvesting: Viewpoint Optimization with Deep Reinforcement Learning

This MSc thesis presents the development of a viewpoint optimization framework to face the problem of detecting occluded fruits in autonomous harvesting. A Deep Reinforcement Learning (DRL) algorithm is developed in order to train a robotic manipulator to navigate to occlusion-free viewpoints of the tomato-target. Two Convolutional Neural...

Investigating Domain Transfer and Viewpoint in the Context of Person Re-Id

Deep learning has significantly improved Re-Id per- formance but it requires a large amount of data, however, obtaining data is expensive from both time and money perspective. Inspired by ImageNet pre- trained models and synthetic data generation techniques, this paper investigates to utilise real-world and syn- thetic Re-Id datasets to augment...

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics

The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints. However, this viewpoint diversity is not trivial to assess. In this paper we use existing and novel ranking fairness metrics to evaluate viewpoint diversity in search result rankings. We...

Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces

Diversity in personalized news recommender systems is often defined as dissimilarity, and operationalized based on topic diversity (e.g., corona versus farmers strike). Diversity in news media, however, is understood as multiperspectivity (e.g., different opinions on corona measures), and arguably a key responsibility of the press in a...

Multiperspectivity in online news: An analysis of how reading behaviour is affected by viewpoint diverse news recommendations and how they are presented

Previous research on diversity in recommender systems define diversity as the opposite of similarity and propose methods that are based on topic diversity. Diversity in news media, however, is understood as multiperspectivity and scholars generally agree that fostering diversity is the key responsibility of the press in a democratic society....

A formal framework for computer simulations: surveying the historical record and finding their philosophical roots

A chronicled approach to the notion of computer simulations shows that there are two predominant interpretations in the specialized literature. According to the first interpretation, computer simulations are techniques for finding the set of solutions to a mathematical model. I call this first interpretation the problem-solving technique...

Multiple viewpoint rendering by exploiting image coherence in epipolar space

In recent years, there has been a widespread increase in the adoption of virtual reality and 3d displays which require many images as input, e.g. head mounted displays or lightfield displays. Real-time rendered imagery for such displays is commonly computed using brute-force rendering pipelines based on forward(+) or deferred rendering pipelines...

Implications of automated vehicles for accessibility and location choices: Evidence from an expert-based experiment

In this paper, possible accessibility impacts of fully automated vehicles (AVs) are explored. A conceptual framework for those impacts is developed based on the model of four accessibility components (i.e. land use, transport, temporal and individual) of Geurs and van Wee (2004). Q-method is applied among a sample of seventeen international...

Viewpoint optimization for aiding grasp synthesis algorithms using reinforcement learning

Grasp synthesis for unknown objects is a challenging problem as the algorithms are expected to cope with missing object shape information. This missing information is a function of the vision sensor viewpoint. The majority of the grasp synthesis algorithms in literature synthesize a grasp by using one single image of the target object and...

Viewpoint dependent model for multi-view object recognition

The life expectancy of humans increases due to better medical care, food quality and personal hygiene. The demand for domestic robots performing (simple) household chores will increase as consequence to this trend. An important task of these robots is recognizing objects within an environment. Object models are constructed using multiple views...

Breaking the filter bubble: Democracy and design

It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease...

Bursting the Filter Bubble: Democracy, Design, and Ethics

Online web services such as Google and Facebook started using personalization algorithms. Because information is customized per user by the algorithms of these services, two users who use the same search query or have the same friend list may get different results. Online services argue that by using personalization algorithms, they may show the...

Active Grasp Synthesis for Grasping Unknown Objects

Manipulation is a key feature for robots which are designed to work in daily environments like homes, offices and streets. These robots do not often have manipulators that are specialized for specific tasks, but grippers that can grasp the target object. This makes grasping a crucial ability that enables many manipulation tasks. Robotic grasping...

Free Viewpoint 3D TV Rendering Platform

Over the past decade, products enabled by 3D technology have been increasingly adopted in the consumer market. The current challenge in the field is to explore the methods of free-viewpoint interpolation for 3D TVs. Free-viewpoint interpolation enhances the user experience significantly by allowing the viewer to select and alter the desired...