This paper examines the racial implications of police interaction with algorithms, particularly in the context of racial disparities in rearrest predictions. Our experimental study involved showing police officers the profiles of young offenders and asking them to predict rearrest probabilities...

AI systems are becoming increasingly complex and human-like, and we interact with them more and more frequently. How does perceived human-likeness affect trust in AI systems? And what makes AI systems appear human in the first place? In a scoping review, we first examined the relationship...

Emotion recognition from electroencephalogram (EEG) signals has garnered significant attention owing to its potential applications in affective computing, human-computer interaction, and mental health monitoring. This paper presents a comparative analysis of different machine learning methods...

This paper examines the racial implications of police interaction with algorithms, particularly in the context of racial disparities in rearrest predictions. Our experimental study involved showing police officers the profiles of young offenders and asking them to predict rearrest probabilities...

While many companies use algorithms to optimize their pricing, additional human oversight and price interventions are widespread. Human intervention can correct algorithmic flaws and introduce private information into the pricing process, but it may also be based on less sophisticated pricing...

Given the nascent understanding of user perceptions toward digital nudges in e-commerce, our study examines key factors: perceived usefulness, ease of use, trust, and privacy risks. Via an online experiment of 273 participants, we examined the influence of digital nudging interventions –...

There has been a steady increase in gesture-based applications interacting with various electronic devices. Characters and numerals are written in the air using air-writing applications. Due to the lack of stroke information and a reference point on the writing plane in the 3D space, the...

While many companies use algorithms to optimize their pricing, additional human oversight and price interventions are widespread. Human intervention can correct algorithmic flaws and introduce private information into the pricing process, but it may also be based on less sophisticated pricing...

Cryptocurrencies were supposed to replace traditional payment methods when they were invented over 13 years ago, but adoption by the general consumer is still lacking, at least in the United States. Instead, crypto is often used as a speculative investment, by illicit actors, or for use cases...

Cryptocurrencies were supposed to replace traditional payment methods when they were invented over 13 years ago, but adoption by the general consumer is still lacking, at least in the United States. Instead, crypto is often used as a speculative investment, by illicit actors, or for use cases...

1. Generative AI Review Summaries and their Impact on Ambivalence and User Behavior: An Eye-Tracking Study -- 2. Offloading to Digital Minds: How Generative AI Can Help to Craft Jobs -- 3. Deciphering User Gaze Dynamics: Interacting an AI-Driven Platform with an Chatbot for Problem Solving --...

1. Contemporary Participatory Design: An IntroductionRachel Charlotte Smith, Liesbeth Huybrechts, Heike Winschiers-Theophilus, Daria Loi and Jesper Simonsen Section I: Contemporary Participatory Design 2. Scaling Participatory DesignClaus Bossen, Reem Talhouk and John Vines 3. Collectives and...

This paper investigates pricing in laboratory markets when human players interact with an algorithm. We compare the degree of competition when exclusively humans interact to the case of one firm delegating its decisions to an algorithm, an n-player generalization of tit-for-tat. We further vary...

As interactive technologies, such as chatbots or voice assistants, increasingly become social counterparts and resemble human interaction partners in many ways, the question arises whether they are also able to address users' social needs. This paper explores whether interaction with technology...

Although algorithms make more accurate forecasts than humans in many applications, decision-makers often refuse to resort to their use. In an economic experiment, we examine whether the extent of this phenomenon known as algorithm aversion can be reduced by granting decision-makers the...

This paper investigates pricing in laboratory markets when human players interact with an algorithm. We compare the degree of competition when exclusively humans interact to the case of one firm delegating its decisions to an algorithm, an n-player generalization of tit-for-tat. We further vary...

It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action....

Applicants seem to react negatively to artificial intelligence-based automated systems in personnel selection. This study investigates the impact of different pieces of information to alleviate applicant reactions in an automated interview setting. In a 2 (no process information vs. process...

Die Digitalisierung hat alle Lebensbereiche erreicht – so auch den öffentlichen Sektor. Um bequeme E‑Government-Angebote bereitstellen zu können, müssen bürgerbezogene Daten zwischen Verwaltungen geteilt werden. Gleichzeitig verfolgen viele Kommunen Smart-City-Strategien und sind dabei...

We investigate collusive pricing in laboratory markets when human players interact with an algorithm. We compare the degree of (tacit) collusion when exclusively humans interact to the case of one firm in the market delegating its decisions to an algorithm. We further vary whether participants...

We investigate collusive pricing in laboratory markets when human players interact with an algorithm. We compare the degree of (tacit) collusion when exclusively humans interact to the case of one firm in the market delegating its decisions to an algorithm. We further vary whether participants...

Several domain-specific assistants in the form of chatbots have conquered many commercial and private areas. However, there is still a limited level of systematic knowledge of the distinctive characteristics of design elements for chatbots to facilitate development, adoption, implementation, and...

This Thesis looks at investors' loss tolerance with portfolios managed by a human advisor compared to an algorithm with different degrees of humanization. The main goal is to explore differences between these groups (Humanized Algorithm, Dehumanized Algorithm, Humanized Human and Dehumanized...

Purpose This study explored the current and desired use of web-search, particularly for health information, by adults with intellectual disability. Design/methodology/approach The authors surveyed 39 participants who were in supported employment or attending day centers in Australia. The survey,...