We address the recognized person-to-person Brain–Computer Interface (BCI) calibration problem and tackle session-dependency through the use of unsupervised canonical polyadic (CP) tensor decomposition. For a motor imagery task, the approach reveals universal structures within EEG data, common between subjects and prominent for a certain task. Further, we develop a novel similarity measure that inc

Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological disorders and is the most common heart arrhythmia worldwide, affecting 2 % of the European population. This prevalence increases with age, imposing significant financial, economic, and human burdens. In Europe, stroke is the second leading cause of death and the primary cause of disability, with numbers

The recent open letter from the Future of Life Institute (FLI) calling for a pause on the development of AI systems has generated a significant amount of discussion. We argue that more significant action to address the potential dangers of large, generative models, requires increased efforts on AI governance, and research funding structures to build a sustainable basis for transparent research on

The aim of the present study is twofold: to explore the assessment andintervention practices of Swedish practitioners (mainly Speech and LanguageTherapists: SLTs) for multilingual children with Developmental LanguageDisorders (DLD) and to explore to which extent they perceive themselves asconfident with respect to assessment and intervention. The data comes fromthe Swedish part of the survey by th

Purpose: According to most models of spoken word recognition, listeners probabilistically activate a set of lexical candidates, which is incrementally updated as the speech signal unfolds. Speech carries segmental (speech sound) as well as suprasegmental (prosodic) information. The role of the latter in spoken word recognition is less clear. We investigated how suprasegments (tone and voice qualit

With robots increasingly succeeding in exhibiting more human-like behaviours, humans may be more likely to ‘forgive’ their errors and continue to trust them as a result of ascribing higher, more human-like intelligence to them. If an integral aspect of successful HRI is to accurately communicate the competence of a robot, it can be argued that the technical success of the robot in exhibiting human

Purpose: Vocabulary relates to overall language proficiency and is important for academic success. Word definition (WD) tasks can be used to assess vocabulary depth and definition skills. We investigate monolingual and bilingual children's performances on a WD task, and how bilingualism, level of parental education, school characteristics (proportion of students with Swedish as second language and

Continued professional development (CPD), tailored to teachers’ needs and expectations, is required for updated skills and knowledge. In this study, twenty-five teachers working with first and second grade students participated in an 11-week programme focusing on enhancing classroom communication. The participating teachers were randomly assigned to either a direct intervention track (intervention

Human pose forecasting is the task of predicting articulated human motion given past human motion. There exists a number of popular benchmarks that evaluate an array of different models performing human pose forecasting. These benchmarks do not reflect that a human interacting system, such as a delivery robot, observes and plans for the motion of the same individual over an extended period of time

While recent cognitive science research shows a renewed interest in understanding intelligence, there is still little consensus on what constitutes intelligent behaviour and how it should be assessed. Here we propose a refined approach to biological intelligence as accurate prediction, according to which intelligent behaviour should be understood as adaptive control driven by the minimisation of u

The study aimed at examining recruiter’s experience of moral stress at recruiting and staffing companies in Sweden. Further purpose was to investigate dilemmas of four other psychological factors related to work, relevant for moral stress: cognition, emotion, control, and stress reactions. For moral stress and all other factors, differences based on sexes and work experience were investigated. An

We investigated the role of cultural experience in the search advantage for happy faces. European British participants living in the UK, Asian Japanese participants living in Japan, and Asian Japanese participants living in the UK, were required to search for a happy or an angry face target against a background of neutral facial expressions, using Asian Japanese and European American faces. Result

Tulving’s introduction of episodic memory and the metaphor of mental time travel has immensely enriched our understanding of human cognition. However, his focus on human psychology, with limited consideration of evolutionary perspectives, led to the entrenched notion that mental time travel is uniquely human. We contend that adopting a phylogenetic perspective offers a deeper insight into cognitio

Audio description (AD) plays a crucial role in making audiovisual media accessible to people with a visual impairment, enhancing their experience and understanding. This study employs an event segmentation task to examine how people without sight perceive and segment narrative events in films with AD, compared to sighted viewers without AD. Two AD versions were utilized, differing in the explicitn

We investigate the problem of low-complexity, high-dimensional channel estimation with beamspace observations, for the purpose of localization. Existing work on beamspace ESPRIT (estimation of signal parameters via rotational invariance technique) approaches requires either a shift-invariance structure of the transformation matrix, or a full-column rank condition. We extend these beamspace ESPRIT

Satellite imagery is a potent tool for estimating human wealth and poverty, especially in regions lacking reliable data. This study compares a range of poverty estimation approaches from satellite images, spanning from expert-based to fully machine learning-based methodologies. Human experts ranked clusters from the Tanzania DHS survey using high-resolution satellite images. Then expert-defined fe

Digital contact tracing substantially improves the identification of high-risk contacts during pandemics. Despite several attempts to encourage people to use digital contact-tracing applications by developing and rolling out decentralized privacy-preserving protocols (broadcasting pseudo-random IDs over Bluetooth Low Energy-BLE), the adoption of digital contact tracing mobile applications has been

We present a novel approach to the 3D sound source localization task for distributed ad-hoc microphone arrays by formulating it as a set-to-set regression problem. By training a multi-modal masked autoencoder model that operates on audio recordings and microphone coordinates, we show that such a formulation allows for accurate localization of the sound source, by reconstructing coordinates masked