• Animated Backgrounds on the Web Reduce Reading Speed: Some Empirical Evidence from a Remote Experiment 

      Vital, Ana Flávia; van der Baan, Mark; Stenberg, Øyvind Ødegård; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 13308, Proceedings, Part I, Conference object, 2022-06-16)
      It is generally considered a bad practice to place animations as back-grounds to text. There are many convincing arguments against using animated backgrounds, yet there are few empirical studies that have assessed effects ...
    • BRIDGE: Administering Small Anonymous Longitudinal HCI Experiments with Snowball-type Sampling 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 12935, Conference object, 2021-08-26)
      When following participants across multiple sessions one needs a way to link the different session records while protecting the participants’ privacy. Privacy is required by recent legislation such as the General Data ...
    • A Comparison of Form Navigation with Tabbing and Pointing 

      Ferner, Bernt; Gåsøy, Adrian; Nicolaysen, Martin Walberg; Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      The form is a widely used metaphor in information gathering. Users typically navigate between form elements using a keyboard or a pointing device. This study set out to empirically compare tabbing and pointing in form ...
    • Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian 

      Aaby, Pernille; Biermann, Daniel; Yazidi, Anis; Borges Moreno e Mello, Gustavo; Palumbo, Fabrizio (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...
    • Exploring the Usability of the LCH Color Model for Web Designers 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Although the LCH color models have been around for many years, it has just recently been included in web specifications and is currently being implemented by browser vendors. Several voices argue that the LCH color model ...
    • FLINK: An Educator’s Tool for Linking Inaccurate Student Records 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Although many areas within the education sector have been subjected to digitalization, including electronic storage and processing of student infor-mation, student-administrative tasks are still often handled manually. One ...
    • Image Search Versus Text Search Revisited: A Simple Experiment Using a Kahoot Quiz 

      Eide, Signe Aanderaa; Poljac, Ana-Maria; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 12768, Conference object, 2021-07-03)
      Information search is a common task when interacting with computers. Many studies have investigated the characteristics that facilitate effective search, specifically the use of icons and/or text. This study reports a ...
    • LiDAR-Based Obstacle Detection and Distance Estimation in Navigation Assistance for Visually Impaired 

      Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 13309, Conference object, 2022-06-16)
      People with visual impairments can face challenges with independent navigation and therefore may use traditional aids such as guide dogs, white canes, or a travel companion for navigation assistance. In recent years, ...
    • LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification 

      Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (Lecture Notes in Computer Science;Volume 12606, Conference object, 2021-02-21)
      Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. ...
    • On the Convenience of Speeding Up Lecture Recordings: Increased Playback Speed Reduces Learning 

      Ness, Ida; Sandnes, Frode Eika; Opdal, Kathinka (Lecture Notes in Computer Science;Volume 13117, Conference object, 2021-11-23)
      Audio and video lectures give students much freedom to study where and when they like. These digital media formats usually also give students flexibility to choose the playback speed. In this study we conducted a simple ...
    • On Time Reading Performance: A Comparison of the Clock Face and Digit Representations 

      Knapskog, Martine Amanda Dahl; Lines, Frida; Maalen-Johansen, Erik Semb; Eika, Evelyn; Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Time plays an essential part of our lives. We are typically surrounded by two types of time representation, clock faces and digits. Previous work focused on children’s ability to read time, but adults’ ability to read time ...
    • Optimizing 5G VPN+ Transport Networks with Vector Packet Processing and FPGA Cryptographic Offloading 

      Dzogovic, Bruno; Santos, Bernardo; Feng, Boning; Do, Thuan Van; Jacot, Niels; Do, van Thanh (Lecture Notes in Computer Science;Volume 12814, Conference object, 2021-08-16)
      Network slicing is the crucial prerogative that allows end users and industries to thrive from 5G infrastructures, however, such a logical network component can deteriorate from security vulnerabilities that prevail within ...
    • Perceptions of Digital Nudging for Cervical Testing: A Comparison Four Nudge Types 

      Ytterland, , Thea Bratteberg; Fagernes, Siri; Sandnes, Frode Eika (Lecture Notes in Computer Science;13308, Conference object, 2022-06-16)
      Cervical cancer consumes many lives around the world. Many of these lives could be saved if more women were screened for cervical cancer. This study explored the potential of digital nudging through short electronic messages ...
    • Reading experiences and reading efficiency among adults with dyslexia: An accessibility study 

      Berget, Gerd; Fagernes, Siri (Lecture Notes in Computer Science;12769, Conference object, 2021-07-03)
      Dyslexia is a common reading disorder that typically affects reading, concentration and short-term memory. Consequently, for people with dyslexia, reading fictional books might be challenging. Several studies have addressed ...
    • Revisiting Redundant Text Color Coding in User Interfaces 

      Sandvold, Fredrik Strømsvåg; Schuller, Thomas; Rolfsvåg, Andreas; Sikkerbøl, Knut-Erik; Medola, Fausto Orsi; Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Practices for using redundant text color in user interfaces vary. Some designers have carefully incorporated redundant coding in their design, while in other instances redundant coding is not utilized. There is a vast body ...
    • Screen Reader Accessibility Study of Interactive Maps 

      Hasan, Sayed Kamrul; Gjøsæter, Terje (Lecture Notes in Computer Science;Volume 12768, Conference object, 2021-07-03)
      Digital maps have been an integral part of modern life. Whether to venture into an unknown location, check the latest traffic update, update on the weather forecast, we come across digital maps every day. While maps have ...
    • A secure 5G eldercare solution using millimeterwave sensors 

      Feng, Boning; Kajiwara, Akihiro; Do, Thuan Van; Jacot, Niels; Santos, Bernardo; Dzogovic, Bruno; Do, van Thanh (Chapter, 2021)
      The world is ageing fast and the need of efficient digital solution enabling elderlies to age at home is getting urgent. Unfortunately there is so far no such a solution which is sufficiently efficient, customizable, secure ...
    • Towards “Image Reflow” on the Web: Avoiding Excessive Panning of Magnified Images by Multiplexing Automatically Cropped Regions of Interest 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Low vision users are often faced with large images when increasing the browser zoom level. Large images extending beyond the viewport are difficult to view due to the excessive two-dimensional panning involved. This demo ...
    • Translating Emotions from EEG to Visual Arts 

      Riccio, Piera; Galati, Francesco; Zuluaga, Maria; De Martin, Juan Carlos; Nichele, Stefano (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2022)
      Exploring the potentialities of artificial intelligence (AI) in the world of arts is fundamental to understand and define how this technology is shaping our creativity. We propose a system that generates emotionally ...
    • Unsupervised State Representation Learning in Partially Observable Atari Games 

      Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal E. (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      State representation learning aims to capture latent factors of an environment. Although some researchers realize the connections between masked image modeling and contrastive representation learning, the effort is focused ...