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Automatic Evaluation of Disclosure Risks of Text Anonymization Methods
(Chapter, 2022)The standard approach to evaluate text anonymization methods consists of comparing their outcomes with the anonymization performed by human experts. The degree of privacy protection attained is then measured with the ... -
Best Practice for Inclusive Journey Mapping and Diversity in User Participation
(Lecture Notes in Computer Science;14020, Chapter, 2023)This work investigates how co-creation workshops, in which user journeys and personas are developed jointly with workshop participants, can be made as inclusive as possible for a wide range of participants and thus personas ... -
Categories of User Impairment
(Chapter, 2021) -
Collusion-resistant Broadcast Encryption based on Hidden RSA Subgroups
(Chapter, 2022) -
Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction
(Chapter, 2023)We present a new typology for classifying signals from robots when they communicate with humans. For inspiration, we use ethology, the study of animal behaviour and previous efforts from literature as guides in defining ... -
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
(Chapter, 2023)Knowledge graphs have shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. In this work, we present a new method for constructing a vulnerability knowledge graph from information ... -
Creating a Robot-Supported Education Solution for Children with Autism Spectrum Disorder
(Chapter, 2022)We introduce the ROSA project that aims to provide robot supported education in the areas of communication, language, and emotion for children with autism spectrum disorder. The background for the project is reviewed and ... -
Creating Personas with Disabilities
(Chapter, 2012)Personas can help raise awareness among stakeholders about users’ needs. While personas are made-up people, they are based on facts gathered from user research. Personas can also be used to raise awareness of universal ... -
Creating vignettes for a Robot-Supported Education Solution for Children with Autism Spectrum Disorder
(Chapter, 2022)As part of the work in developing a robotic toolkit to help children with ASD develop their social and communication skills, we have adapted a method for creating vignettes that has been fruitful in other studies. We present ... -
Detection of cultural heritage in airborne laser scanning data using Faster R-CNN. Results on Norwegian data
(Chapter, 2021)A new processing chain for automated archaeological mapping from airborne lidar data is proposed. First, the lidar data was converted to a detailed digital terrain model (DTM), which was then converted to a local relief ... -
Dialogue Management as Graph Transformations,
(Chapter, 2022) -
Estimation of Thickness and Layering of Johansen and Cook Sandstones at the Potential Co2 Storage Site Aurora
(Chapter, 2021)We have estimated the reservoir sand thickness and internal layering in the Aurora area, a planned geological CO2 storage site in the northern North Sea. The results are obtained by stochastic Markov chain Monte Carlo ... -
Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees
(Chapter, 2022)It is becoming increasingly important to explain complex, black-box machine learning models. Although there is an expanding literature on this topic, Shapley values stand out as a sound method to explain predictions from ... -
A Generic Privacy-preserving Protocol for Keystroke Dynamics-based Continuous Authentication
(Chapter, 2022)Continuous authentication utilizes automatic recognition of certain user features for seamless and passive authentication without requiring user attention. Such features can be divided into categories of physiological ... -
Identifying Token-Level Dialectal Features in Social Media
(Chapter, 2023) -
Involving Diverse Users for Inclusive Technology Development
(Chapter, 2021) -
Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning
(Chapter, 2020)The deep learning revolution in computer vision has enabled a potential for creating new value chains for Earth observation that significantly enhances the analysis of satellite data for tasks like land cover mapping, ...