Computers in Human Behavior Artificial Humans
Journal Data
| Type | JOURNAL |
|---|---|
| Publisher | Elsevier BV |
| ISSN | 2949-8821 |
| OpenAlex | S4387287529 |
| MAG | 4387287529 |
| Total publications | 6 |
| Coverage period | 2023 - 2025 |
| Language | EN |
| Access | Open Access |
| Indexing | DOAJ indexed |
| Cited by | 2 |
| Impact factor | 13 |
| h-index | 1 |
This journal explores the intersection of computers, human behavior, and artificial intelligence. While it may lean into psychology or computer science, its focus on human-technology interaction places it within the broader scope of Science and Technology Studies (STS), a cognate field with regular anthropological intersection
Action Observation and Synchronization · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Creativity in Education and Neuroscience · Death Anxiety and Social Exclusion · Decision-Making and Behavioral Economics · Digital Marketing and Social Media · Digital Mental Health Interventions · Diverse Scientific and Economic Studies · Educational Robotics and Engineering
Generative artificial intelligence in higher education
The release of ChatGPT in November 2022 prompted a massive uptake of generative artificial intelligence (GenAI) across higher education institutions (HEIs). In response, HEIs focused on regulating its use, particularly among students, before shifting towards advocating for its productive integration within teaching and learning. Since then, many HEIs have increasingly provided policies and guidelines to direct GenAI. This paper presents an analys…
ChatGPT in education
To foster the development of pedagogically potent and ethically sound AI-integrated learning landscapes, it is pivotal to critically explore the perceptions and experiences of the users immersed in these contexts. In this study, we perform a thorough qualitative content analysis across four key social media platforms. Our goal is to understand the user experience (UX) and views of early adopters of ChatGPT across different education sectors. The …
Does mind perception explain the uncanny valley? A meta-regression analysis and (de)humanization experiment
Gray and Wegner (2012) proposed that when robots look human, their appearance prompts attributions of experience, including sensations and feelings, which is uncanny. This theory, confusingly termed mind perception, differs from perceptual theories of the uncanny valley in that the robots' eeriness is not stimulus-driven. To explore this seminal theory, we conducted a meta-regression analysis of 10 experiments and a (de)humanization experiment. I…
Can robots elicit empathy? The effects of social robots’ appearance on emotional contagion
The increasing integration of robots as service providers or companions in daily life has prompted extensive research on the emotional aspects of human-robot interaction (HRI). Emotional contagion, a crucial factor influencing user experience in HRI, has gained considerable attention. However, limited research explores the influence of anthropomorphism and gender differences in robot modeling on emotional contagion in HRI, leaving a gap in refere…
Mails - Meta AI literacy scale
Valid measurement of AI literacy is important for the selection of personnel, identification of shortages in skill and knowledge, and evaluation of AI literacy interventions. A questionnaire is missing that is deeply grounded in the existing literature on AI literacy, is modularly applicable depending on the goals, and includes further psychological competencies in addition to the typical facets of AIL. This paper presents the development and val…
Privacy and utility perceptions of social robots in healthcare
Many Human-Robot Interaction (HRI) researchers are exploring the use of healthcare robots. Due to the sensitive nature of care, privacy concerns play a significant role in determining robot utility and adoption. While HRI research has explored some dimensions of privacy for robots in general, to our knowledge, no prior work has empirically studied how human-like robot design affects people's privacy and utility perceptions of robots across differ…
Does mind perception explain the uncanny valley? A meta-regression analysis and (de)humanization experiment
Gray and Wegner (2012) proposed that when robots look human, their appearance prompts attributions of experience, including sensations and feelings, which is uncanny. This theory, confusingly termed mind perception, differs from perceptual theories of the uncanny valley in that the robots' eeriness is not stimulus-driven. To explore this seminal theory, we conducted a meta-regression analysis of 10 experiments and a (de)humanization experiment. I…
Can robots elicit empathy? The effects of social robots’ appearance on emotional contagion
The increasing integration of robots as service providers or companions in daily life has prompted extensive research on the emotional aspects of human-robot interaction (HRI). Emotional contagion, a crucial factor influencing user experience in HRI, has gained considerable attention. However, limited research explores the influence of anthropomorphism and gender differences in robot modeling on emotional contagion in HRI, leaving a gap in refere…
Mails - Meta AI literacy scale
Valid measurement of AI literacy is important for the selection of personnel, identification of shortages in skill and knowledge, and evaluation of AI literacy interventions. A questionnaire is missing that is deeply grounded in the existing literature on AI literacy, is modularly applicable depending on the goals, and includes further psychological competencies in addition to the typical facets of AIL. This paper presents the development and val…
Privacy and utility perceptions of social robots in healthcare
Many Human-Robot Interaction (HRI) researchers are exploring the use of healthcare robots. Due to the sensitive nature of care, privacy concerns play a significant role in determining robot utility and adoption. While HRI research has explored some dimensions of privacy for robots in general, to our knowledge, no prior work has empirically studied how human-like robot design affects people's privacy and utility perceptions of robots across differ…
ChatGPT in education
To foster the development of pedagogically potent and ethically sound AI-integrated learning landscapes, it is pivotal to critically explore the perceptions and experiences of the users immersed in these contexts. In this study, we perform a thorough qualitative content analysis across four key social media platforms. Our goal is to understand the user experience (UX) and views of early adopters of ChatGPT across different education sectors. The …
Does mind perception explain the uncanny valley? A meta-regression analysis and (de)humanization experiment
Gray and Wegner (2012) proposed that when robots look human, their appearance prompts attributions of experience, including sensations and feelings, which is uncanny. This theory, confusingly termed mind perception, differs from perceptual theories of the uncanny valley in that the robots' eeriness is not stimulus-driven. To explore this seminal theory, we conducted a meta-regression analysis of 10 experiments and a (de)humanization experiment. I…
Can robots elicit empathy? The effects of social robots’ appearance on emotional contagion
The increasing integration of robots as service providers or companions in daily life has prompted extensive research on the emotional aspects of human-robot interaction (HRI). Emotional contagion, a crucial factor influencing user experience in HRI, has gained considerable attention. However, limited research explores the influence of anthropomorphism and gender differences in robot modeling on emotional contagion in HRI, leaving a gap in refere…
Generative artificial intelligence in higher education
The release of ChatGPT in November 2022 prompted a massive uptake of generative artificial intelligence (GenAI) across higher education institutions (HEIs). In response, HEIs focused on regulating its use, particularly among students, before shifting towards advocating for its productive integration within teaching and learning. Since then, many HEIs have increasingly provided policies and guidelines to direct GenAI. This paper presents an analys…