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Your search for "kognition" yielded 1798 hits
Responsibility before freedom : closing the responsibility gaps for autonomous machines
The introduction of autonomous machines (AMs) in human domains has raised challenging questions about the attribution of responsibility; referred to as the responsibility gap. In this paper, we address the gap by arguing that entities should not be granted the freedom of action unless they can also recognise the same right for others—and be subject to blame or punishment in cases of undermining th
Removing Biases in Communication of Severity Assessments of Intimate Partner Violence : Model Development and Evaluation
Background: To support a victim of violence and establish the correct penalty for the perpetrator, it is crucial to correctly evaluate and communicate the severity of the violence. Recent data have shown these communications to be biased. However, computational language models provide opportunities for automated evaluation of the severity to mitigate the biases. Objective: We investigated whether
Written products and writing processes in Swedish deaf and hard of hearing children : an explorative study on the impact of linguistic background
The small body of research on writing and writing processes in the group of deaf and hard of hearing (DHH) children has shown that this group struggles more with writing than their hearing peers. This article aims to explore in what ways the DHH group differs from their peers regarding the written product and the writing processes. Participants are all in the age span 10–12 years old and include:
Testing the Error Recovery Capabilities of Robotic Speech
Trust in Human-Robot Interaction is a widely studied subject, and yet, few studies have examined the ability to speak and how it impacts trust towards a robot. Errors can have a negative impact on perceived trustworthiness of a robot. However, there seem to be mitigating effects, such as using a humanoid robot, which has been shown to be perceived as more trustworthy when having a high error-rate
Variations on an ancient theme — the central complex across insects
The central complex (CX) is a highly conserved region of the insect brain, and its ubiquitous occurrence suggests that its neural circuits are of fundamental importance. While its overall layout has not changed since the evolution of insect flight, substantial variations exist in the internal organization of all CX components. By changing the details of a system of repeating columns and layers, th
Neuroethology: Decoding the waggle dance
A new study combining high-speed video recordings and computational modeling has revealed an overlooked feature of the famous honeybee waggle dance, yielding the first biologically plausible neural circuit model of how the information transmitted via the waggle dance could be assimilated by the follower bees.
The Lang-Track-App : Open-Source Tools for Implementing the Experience Sampling Method in Second Language Acquisition Research
This paper introduces the Lang-Track-App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang-Track-App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways. This article explains the different Lang-Track-App components
The Prospects of Artificial Empathy : A Question of Attitude?
Artificial empathy (AE) is a hotly contested topic. Recently, several empathy researchers have voiced criticism on the prospect of AE, arguing that it is impossible, unethical, or both. Contrary to these sentiments, we believe that further nuance and research are needed to better understand AE, its risks, and what it can potentially contribute to human well-being. We will focus on one obstacle to
Lund University Humanities Lab Annual Report 2024
Video Intro: Design of Flexible Code Block Comparisons to Improve Code Review of Refactored Code
Improving the Efficacy of Enuresis Alarm Treatment through Early Prediction of Treatment Outcome : A Machine Learning Approach
Introduction: Bedwetting, also known as enuresis, is the second most common chronic health problem among children and it affects their everyday life negatively. A first-line treatment option is the enuresis alarm. This method entails the child being awoken by a detector and alarm unit upon urination at night, thereby changing their arousal mechanisms and potentially curing them after 6–8 weeks of
Talk to Me : Using Speech for Loss-of-Trust Mitigation in Social Robots
Robots and autonomous systems are being developed at an ever-increasing rate. Autonomous systems are already prolific in many households around the world, and their adoption is only expected to increase over the coming decades. Even so, many of the systems that are deployed today are still prone to small operational errors such as struggling to navigate complex environments. While the argument ove
No Effects of Auditory and Visual White Noise on Oculomotor Control in Children with ADHD
Background: White noise stimulation has demonstrated efficacy in enhancing working memory in children with ADHD. However, its impact on other executive functions commonly affected by ADHD, such as inhibitory control, remains largely unexplored. This research aims to explore the effects of two types of white noise stimulation on oculomotor inhibitory control in children with ADHD. Method: Memory gu
Metonymisation : Three levels of refocusing
Common proposals for classifying metonyms build on the contiguity of the meaningof a metonym compared to its original meaning. In contrast, this article offers amodel of metonymisation that focuses on the cognitive underpinnings and seesmetonymisation as an attentional process. By using event structure as a framework,we present a cognitive model of events that consists of four elements: actor, pat
Metonymy
Gaze and movement adaptation in response to delayed robotic movement during turn-taking
While delays in human-robot encounters can harm perceptions of competence, they can also enhance engagement and relatability, making timing a crucial factor in the design of robot behaviors for effective human-robot interaction. Previous research has primarily focused on how robots’ pauses or errors impact perceptions of competence, but it has not adequately addressed the complexity of timing in s
Second Language Research, Vol. 39, issue 1. Study Abroad and input
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