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Introduction: A large body of research has established a consensus that racial discrimination in CV screening occurs and persists. Nevertheless, we still know very little about how recruiters look at the CV and how this is connected to the discriminatory patterns. This article examines the way recruiters view and select CVs and how they reason about their CV selection choices, as a first step in u

The bee louse (Braula coeca) is a honeybee inquiline and a long-standing taxonomic mystery. A new study unravels their genomic architecture and shows that these enigmatic flies have evolved from scale insect-exploiting drosophilid ancestors and share genetic similarities with their honeybee hosts.

Recent developments in neuroscience and artificial intelligence have allowed machines to decode mental processes with growing accuracy. Neuroethicists have speculated that perfecting these technologies may result in reactions ranging from an invasion of privacy to an increase in self-understanding. Yet, evaluating these predictions is difficult given that people are poor at forecasting their react

Purpose: An elevated sense of vocal effort due to increased vocal demand is frequently reported by patients with voice disorders. However, effects of vocal warm-up on self-assessed vocal effort have not been thoroughly examined. A recently developed version of the Borg CR-10 Scale facilitates vocal effort assessments, following different vocal warm-up tasks. Methods: Effects of a short (5 min) voc

Sensory feedback plays an important role in speech motor control. One of the main sources of evidence for this is studies in which online auditory feedback is perturbed during ongoing speech. In motor control, it is therefore crucial to distinguish between sensory feedback and externally generated sensory events. This is called source monitoring. Previous altered feedback studies have taken non-co

To increase the reliability and comparability of vocal loading studies, this paper proposes the use of a standardized approach with experiments that are [1] grounded on consistent definitions of terms related to vocal fatigue (vocal effort, vocal demand, and vocal demand response), and [2] designed to reduce uncertainty and increase repeatability. In the approach, a semi-automated vocal loading ta

Social interaction research is lacking an experimental paradigm enabling researchers to make causal inferences in free social interactions. For instance, the expressive signals that causally modulate the emergence of romantic attraction during interactions remain unknown. To disentangle causality in the wealth of covarying factors that govern social interactions, we developed an open-source video-

This review examines the hidden and invisible labor humans perform to enable robots to function as agents within Human-Robot Interaction (HRI). While robot agency is often framed as internal and autonomous, this perspective overlooks the relational dynamics that sustain robot functionality in real-world settings. Drawing on feminist theory, the review highlights how humans frequently share the res

How do Swedes, who are not exposed to administrative routines of reporting race and ethnicity, perceive, and categorize faces with different phenotypical features? This study examines identity contestation that can occur and address how race affects the way you are perceived as Swedish. A sample of Swedish participants were asked to assign racial categories to images of faces with different phenot

Modulation of ERP responses by predictability of information in negated contextsPrevious research has shown that language comprehension is incremental and that we can keep up with language input because we make predictions about the upcoming information [1]. If these predictions are confirmed, processing is facilitated. In event-related potential (ERP) studies, this facilitation effect appears in

This paper focuses on the intersection of social dynamics, knowledge production, and the implementation of identity features in robotic platforms. Concentrating on the concept of epistemic injustice, particularly in the context of trust, the study highlights the potential for justified distrust based on experienced injustice. The incorporation of social identity features, such as gender, signals g

Whilst the most obvious impact of the COVID-19 pandemic in the early 2020s was the physical illness and its consequences, the systemic impact was also wide-ranging. In countries where there were sustained periods of ‘lockdown’ or ‘sheltering in place’, public concern was expressed about the educational, emotional, and social impact for children and young people, in both the short and long term. At

Given ongoing debates about the nature and consequences of religious belief, effective procedures for experimentally controlling such beliefs are highly desirable. To date, however, there are few robust, replicable methods. Here, we show that the “choice blindness” paradigm can be leveraged to directly manipulate religious beliefs and attitudes in a way that avoids demand characteristics. Across t

According to previous research, young children’s numeracy skills may be scaffolded by practicing on the number line. A number line estimation task (NLET) is often conducted with pen and paper, while linear number games are often implemented on a computer or a tablet. If and how the format—physical or digital—influences the accuracy of the estimations is, however, not well-known. If regarding NLET

In this paper I’m concerned with the functional role of singular terms and how it can be used to construct a pragmatist theory of what it takes to understand reference. I argue that there are, at least, two distinct functions which singular terms fulfil, what I will call the talking-about and picking-out functions respectively. Both are, in one sense, ways that a term aids our understanding by spe

Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known about how this interest is realized and hence the overall status, prospects, and possible challenges of AI4CBT as a field (e.g. breadth of the field, key

Major Depression (MD) and General Anxiety Disorder (GAD) are the most common mental health disorders, which typically are assessed quantitatively by rating scales such as PHQ-9 and GAD-7. However, recent advances in natural language processing (NLP) and machine learning (ML) have opened up the possibility of question-based computational language assessment (QCLA). Here we investigate how accurate