In human–robot interaction studies, trust is often defined as a process whereby a trustor makes themselves vulnerable to a trustee. The role of vulnerability however is often overlooked in this process but could play an important role in the gaining and ...

In this study, we designed a tool to investigate the relationship between students' ability to render accurate judgements of learning (JOLs) with decision-making behavior when annotating their own work and comparing it with perceived AI-generated ...

Voice Assistants (VAs) can assist users in various everyday tasks, but many users are reluctant to rely on VAs for intricate tasks like online shopping. This study aims to examine whether the vocal characteristics of VAs can serve as an effective tool ...

Smart home cameras (SHCs) offer convenience and security to users, but also cause greater privacy concerns than other sensors due to constant collection and processing of sensitive data. Moreover, privacy perceptions may differ between primary users and ...

In 2021, almost 70,000 pedestrians were injured or killed in traffic accidents in the United States [1]. Level-5 Automated Driving Systems (ADSs) have the potential to create safer roads by eliminating human errors [2] system. While the ...

The process of education is changing in the modern world with an increased emphasis on e-learning environments that employ avatar agents as teachers. As such it is unclear how avatars compare to human instructors in online learning platforms in ...

Controlling assistive robots can be challenging for some users, especially those lacking relevant experience. Augmented Reality (AR) User Interfaces (UIs) have the potential to facilitate this task. Although extensive research regarding legged ...

In this study, a novel time-driven mathematical model for trust is developed considering human–multi-robot performance for a Human–Robot Collaboration (HRC) framework. For this purpose, a model is developed to quantify human performance considering the ...

To increase trust in systems, engineers strive to create explanations that are as accurate as possible. However, if the system’s accuracy is compromised, providing explanations for its incorrect behavior may inadvertently lead to misleading explanations. ...

More health information is in cyberspace than ever before, presenting both opportunities and challenges for health information seeking and self-care practices, particularly in underserved populations who face health disparities for various reasons ...

Remote manipulation is a key enabler for upcoming space activities such as in-orbit servicing and manufacture (IOSM). However, due to the large distances involved, these systems encounter unavoidable signal delays, which can lead to poor performance and ...

As online social networks (OSNs) become more prevalent, a new paradigm for problem-solving through crowd-sourcing has emerged. By leveraging the OSN platforms, users can post a problem to be solved and then form a team to collaborate and solve the ...

In this paper we investigate how people’s level of trust (as reported through self-assessment) in so-called “AI” (artificial intelligence) is influenced by anthropomorphizing language in system descriptions. Building on prior work, we define four ...

Refugees or immigrants who arrive in new countries often feel isolated. In this work, we examine how a resource-bounded public entity can make recommendations to increase integration of these new arrivals into a community. The community is made up of ...

As AI assistants become increasingly sophisticated and deeply integrated into our lives, questions of trust rise to the forefront. In this paper, we build on philosophical studies of trust to investigate when user trust in AI assistants is justified. By ...

With the continuous improvement of large language models (LLMs), chatbots can produce coherent and continuous word sequences that mirror natural human language. While the use of natural language and human-like conversation styles enables the use of ...

While there is evidence that human-like characteristics in robots could benefit child-robot interaction in many ways, open questions remain about the appropriate degree of human likeness that should be implemented in robots to avoid adverse effects on ...

Participatory Budgeting (PB) has evolved into a key democratic instrument for resource allocation in cities. Enabled by digital platforms, cities now have the opportunity to let citizens directly propose and vote on urban projects, using different voting ...

The relatively recent public release of generative artificial intelligence (AI) systems has ignited a significant leap in awareness of the capabilities of AI. In parallel, there has been a recognition of AI system limitations and the bias inherent in ...

While revolutionary AI-powered code generation tools have been rising rapidly, we know little about how and how to help software developers form appropriate trust in those AI tools. Through a two-phase formative study, we investigate how online ...