Computer Science: Recent submissions

Now showing items 281-300 of 2149

    • Challenge-based learning in higher education: an exploratory literature review 

      Gallagher, Silvia; Savage, Timothy (2020)
      The application of Challenge-Based Learning (CBL) has increased in higher education institutions, fostering student transversal competencies, knowledge of sociotechnical problems, and collaboration with industry and community ...

    • Quantification of Mutual Understanding in Task-Based Human-Human Interactions 

      Reverdy, Justine (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)
      This thesis explores the quantification of mutual understanding in task-based interactions by observing the relation between patterns of repetitions and measures of communicative success. Two important characteristics of ...

    • Gender Effects in Interactive Interface Design 

      Lopes, Milena Ribeiro (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)
      The growing interest in the impact of gender on technology brings attention to some concerns with regard to gender bias in design and its implications for the user experience. A first exploration with users of dating ...

    • Improving Document-level Sentiment Analysis with User and Product Context 

      Graham, Yvette (Association for Computational Linguistics, 2020)
      Past work that improves document-level sentiment analysis by encoding user and product information has been limited to considering only the text of the current review. We investigate incorporating additional review text ...

    • Assessing Human-Parity in Machine Translation on the Segment Level 

      Graham, Yvette (Association for Computational Linguistics, 2020)
      Recent machine translation shared tasks have shown top-performing systems to tie or in some cases even outperform human translation. Such conclusions about system and human performance are, however, based on estimates ...

    • The Third Multilingual Surface Realisation Shared Task (SR-20): Overview and Evaluation Results 

      Graham, Yvette (2020)
      This paper presents results from the Third Shared Task on Multilingual Surface Realisation (SR’20) which was organised as part of the COLING’20 Workshop on Multilingual Surface Realisation. As in SR’18 and SR’19, the shared ...

    • The Impact of Training Data Bias on Automatic Generation of Video Captions 

      Graham, Yvette (2019)
      A major issue in machine learning is availability of training data. While this historically referred to the availability of a sufficient volume of training data, recently this has shifted to the availability of sufficient ...

    • Statistical Power and Translationese in Machine Translation Evaluation 

      Graham, Yvette (Association for Computational Linguistics, 2020)
      The term translationese has been used to describe features of translated text, and in this paper, we provide detailed analysis of potential adverse effects of translationese on machine translation evaluation. Our analysis ...

    • Revisiting Contextual Recommendation from an Information Retrieval Standpoint 

      Chakraborty, Anirban (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)
      The challenge of providing personalized and contextually appropriate recommendations to a user is faced in a range of use-cases, e.g. recommendations for movies, places to visit, articles to read etc. In this thesis, we ...

    • Urban Intelligence with Deep Edges 

      Clarke, Siobhan (2020)
      With the increased accuracy available from state of the art deep learning models and new embedded devices at the edge of the network capable of running and updating these models there is potential for urban intelligence ...

    • [How] Do Users Benefit From Giving Consent? 

      Pandit, Harshvardhan (2021)
      Consent is meant to empower users by giving them a choice regarding the use of their personal data. Thus, organisations have the incentive to provide benefits, whether directly or indirectly, in return ...

    • Crowd-sourcing Multi-Domain Issues in Consent Dialogues for Automated Generation of Legal Complaints 

      Pandit, Harshvardhan; Lewis, David (2021)
      Analysis of dark patterns in consent dialogues includes issues that several domains: HCI for the analysis of interaction mechanisms; psychology and ethics for understanding impact to the individual, technological understanding ...

    • Evalu-light: A practical approach for evaluating character lighting in real-time 

      Mc Donnell, Rachel (2020)
      The demand for cartoon animation content is on the rise, driven largely by social media, video conferencing and virtual reality. New content creation tools and the availability of open-source game engines allow characters ...

    • Methodology for Building Synthetic Datasets with Virtual Humans 

      Mc Donnell, Rachel; Javidnia, Hossein (2020)
      Recent advances in deep learning methods have increased the performance of face detection and recognition systems. The accuracy of these models relies on the range of variation provided in the training data. Creating a ...

    • The effect of multimodal emotional expression and agent appearance on trust in human-agent interaction 

      Mc Donnell, Rachel; Harte, Naomi (2019)
      Emotional expressivity can boost trust in human-human and human-machine interaction. As a multimodal phenomenon, previous research argued that a mismatch in the expressive channels provides evidence of joint audio-video ...

    • The effect of gender and attractiveness of motion on proximity in virtual reality 

      Mc Donnell, Rachel (2020)
      In human interaction, people will keep different distances from each other depending on their gender. For example, males will stand further away from males and closer to females. Previous studies in virtual reality (VR), ...

    • Interlinking Heterogeneous Data for Smart Energy Systems 

      O'Sullivan, Declan (Arxiv.org; Cornell University, 2019)
      Smart energy systems in general, and solar energy analysis in particular, have recently gained increasing interest. This is mainly due to stronger focus on smart energy saving solutions and recent developments in photovoltaic ...

    • A Rights-Based Approach to Trustworthy AI in Social Media 

      Lewis, David (2020)
      Social media platforms increasingly use powerful artificial intelligence (AI) that are fed by the vast flows of digital content that may be used to analyze user behavior, mental state, and physical context. New forms of ...

    • Global Challenges in the Standardization of Ethics for Trustworthy AI 

      Lewis, David; Hogan, Linda (2020)
      In this paper, we examine the challenges of developing international standards for Trustworthy AI that aim both to be global applicable and to address the ethical questions key to building trust at a commercial and societal ...

    • Copyright and the re-use of translation as data 

      Lewis, David (2019)
      Translation copyright was first codified as a derivative work in the Berne Convention of 1886, subject to the rights of the creator of the original work. While most countries are now contracting parties to the Berne ...