Gabor Aranyi

• PhD
• Professor (Assistant) at Eötvös Loránd University

Objective: The Clinical Outcomes in Routine Evaluation—Outcome Measure (CORE-OM) is a pantheoretical mental health assessment instrument that has been translated into over 50 languages. Despite its widespread international use in clinical practice and research, the psychometric properties of CORE-OM require further investigation. Method: We explore...

Background The Clinical Outcomes in Routine Evaluation – Outcome Measures (CORE‐OM) is a pantheoretical diagnostic instrument that has been widely used in mental health research. Nevertheless, the exploration of the factor structure of the CORE‐OM yields diverse results. Aims This study aimed to explore the internal structure of the German CORE‐OM...

Computational thinking (CT) is a set of problem-solving skills with high relevance in education and work contexts. The present paper explores the role of key cognitive factors underlying CT performance in non-programming university students. We collected data from 97 non-programming adults in higher education in a supervised setting. Fluid intellig...

Az okoseszközök jelenléte mindennapjaink szerves része. Használatuk gyakorta megzavarja szemtől szembeni társas érintkezéseinket, mely jelenséget McDaniel és Coyne (2016) találóan a magyarul is intuitíven jól értelmezhető technoferencia kifejezéssel írták le. Téma-összefoglaló tanulmányunk empirikus kutatások áttekintésén keresztül mutatja be a tec...

Purpose Research on the association of short-term memory (STM) and reading expertise are dominated by studies with typically developing children and children with reading impairment. Many studies confirmed the role of short-term memory in reading development and reading, especially in the case of verbal and phonological STM. The current study takes...

Introduction Working from home has become increasingly prevalent due to the COVID-19 pandemic, creating new challenges for organizations and employees. According to the latent deprivation model proposed by Jahoda, work provides latent benefits alongside its material rewards, and losing such benefits leads to a decline in well-being. Organizational...

Lockdown enacted by government in response to the Covid-19 pandemic in Austria forced psychotherapy practice into an online-only setting for several months in 2020. Although there is evidence supporting the effectiveness of psychotherapy in remote settings, research investigating therapeutic alliance in online psychotherapy is still limited, with a...

Restrictions and lockdown measures implemented in response to the Covid-19 pandemic exerted unprecedented pressure on higher education institutions to switch to online-only teaching. This transition was characterised by swift implementation of policy, and the adoption of a wide range of information technologies at extraordinary speed and scale. Our...

The restrictions and lockdown measures implemented in response to the Covid-19 pandemic have posed a pronounced risk to the mental health of people with autism and their families. We discuss specific difficulties affecting children and adolescents with autism and their families during the pandemic, drawing on a broad range of recently published res...

The ability to develop Brain-Computer Interfaces (BCI) to Intelligent Systems would offer new perspectives in terms of human supervision of complex AI systems, as well as supporting new types of applications. In this paper, we introduce a basic mechanism for the control of heuristic search through fNIRS-based BCI. The rationale is that heuristic se...

Affective Brain-Computer Interfaces (BCI) harness Neuroscience knowledge to develop affective interaction from first principles. In this paper, we explore affective engagement with a virtual agent through Neurofeedback (NF). We report an experiment where subjects engage with a virtual agent by expressing positive attitudes towards her under a NF pa...

The recent development of Brain-Computer Interfaces (BCI) for Virtual Worlds has resulted in a growing interest in realistic visual feedback. In this paper, we investigate the potential role of Virtual Agents in neurofeedback (NF) systems, which constitute an important paradigm for BCI. We discuss the potential of virtual agents to contribute to th...

" Functional near-infrared spectroscopy (fNIRS) holds increasing potential for Brain-Computer Interfaces (BCI) due to its portability, ease of application, robustness to movement artifacts, and relatively low cost. The use of fNIRS to support the development of affective BCI has received comparatively less attention, despite the role played by the...

User interaction with Embodied Conversational Agents (ECA) should involve a significant affective component to achieve realism in communication. This aspect has been studied through different frameworks describing the relationship between user and ECA, for instance alignment, rapport and empathy. We conducted an experiment to explore how an ECA's n...

Neurofeedback systems can be modeled as closed-loop control systems with negative feedback. However, little work to date has investigated the potential of this representation in gaining a better understanding of the actual dynamics of neurofeedback towards explaining subjects' performance. In this paper, we analyze neurofeedback training data throu...

Functional near-infrared spectroscopy (fNIRS) has become increasingly accessible in recent years, which allows this relatively lowcost and portable brain sensing modality for the application of braincomputer interfaces (BCI). Although there is a growing body of research on fNIRS-based BCI utilising users’ covert psychophysiological activity, there...

Three-dimensional (3-D) route-planning support offers a promising solution to overcome problems with wayfinding in complex indoor environments. An experiment was conducted to test the effect of 3-D route-planning support in a realistic setting, a large hospital building, during normal operation. Forty participants performed navigation tasks either...

Although the Internet has become a major source for accessing news, there is little research regarding users’ experience with news sites. We conducted an experiment to test a comprehensive model of user-experience with news sites that was developed previously by means of an online survey. Level of adoption (novel or adopted site) was controlled wit...

We explore a novel approach in which BCI input is used to influence the behaviour of search algorithms which are at the heart of many Intelligent Systems. We describe how users can influence the behaviour of heuristic search algorithms using Neurofeedback (NF), establishing a connection between their mental disposition and the performance of the se...

Although news websites are used by a large and increasing number of people, there is a lack of research within human-computer interaction regarding users' experience with this type of interactive technology. In the current research, existing measures of user-experience factors were identified and, using an online survey, answers to psychometric sca...

In this paper, we study protocols that allow to discern conscious and unconscious decisions of human beings; i.e., protocols that measure awareness. Consciousness is a central research theme in Neuroscience and AI, which remains, to date, an obscure phenomenon of human brains. Our starting point is a recent experiment, called Post Decision Wagering...

In this paper, we study protocols that allow to discern conscious and unconscious decisions of human beings; i.e., protocols that measure awareness. Consciousness is a central research theme in Neuroscience and AI, which remains, to date, an obscure phenomenon of human brains. Our starting point is a recent experiment, called Post Decision Wagering...

We report the development of an affective BCI based on frontal alpha asymmetry neurofeedback, which has previously been used in clinical experiments. Our results evidence a pattern of high-performance for some subjects, combined with high illiteracy, with 52.3% of subjects succeeding in the neurofeedback task. We suggest that individual asymmetry b...

Interactive Narrative is a form of digital entertainment based on AI techniques which support narrative generation and user interaction. Despite recent progress in the field, there is still a lack of unified models integrating narrative generation, user response and interaction. This paper addresses this issue by revisiting existing Interactive Nar...

Although news Web sites are used by a large and increasing number of people, there is a lack of research within human-computer interaction regarding users’ experience with this type of interactive technology. In the current research, existing measures to user-experience factors were identified and, using an online survey, answers to psychometric sc...

User-experience (UX) and UX modeling have gained increasing attention in recent years. However, there is a dearth of HCI literature regarding the critical issues of how and to what extent these models can be used to aid design. Therefore, the aim of this paper is to discuss how existing models and methods could be used flexibly to guide the design...

The capability of machines to covertly persuade humans is both exciting and ethically concerning. In the present study we aim to bring subliminal masked stimulus paradigms to realistic environments, through Virtual Environments. The goal is to test if such paradigms are applicable to realistic setups while identifying the major challenges when doin...

The recent development of Brain-Computer Interfaces (BCI) to Virtual World has resulted in a growing interest in realistic visual feedback. In this paper, we investigate the potential role of Virtual Agents in neurofeedback systems, which constitute an important paradigm for BCI. We discuss the potential impact of virtual agents on some important d...

This paper discusses the potential of Brain-Computer Interfaces based on neurofeedback methods to support emotional control and pursue the goal of emotional control as a mechanism for human augmentation in specific contexts. We illustrate this discussion through two proof-ofconcept, fully-implemented experiments: one controlling disposition towards...

Abstract The performance of current graphics engines makes it possible to incorporate subliminal cues within virtual environments (VEs), providing an additional way of communication, fully integrated with the exploration of a virtual scene. In order to advance the application of subliminal information in this area, it is necessary to explore in the...

This workshop contribution presents reflections on the collection and analysis of screen-capture video and audio recordings in two separate studies. Participants in both studies used a Web site individually in a laboratory setting under think-aloud instructions, while their online use and verbal behaviour was recorded using screen-capture software....

The present study is part of a research programme that aims to develop and test a psychological model of end-users’ experience with news sites. An exploratory study of interaction experience with a news Web site was conducted. An online questionnaire was used to collect information on demographics, Internet-use and news-site use behaviour of users...

The primary aim of the research project presented in this thesis was to develop and test a comprehensive psychological model of interaction experience with news Web sites. Although news media have been publishing on the Web increasingly since the second half of the 1990s and news sites have become a favoured source of news for many, there is a lack...