Martina Mara
Biographic Data
| ID | 5118542 |
|---|---|
| NAME | Martina Mara |
| GIVEN NAMES | Martina |
| FAMILY NAME | Mara |
| SIGNATURE | MARA M |
| AFFILIATIONS | Johannes Kepler University of Linz |
| ORCID | 0000-0003-3447-0556 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Faces of AI
Lonely Minds and Robotic Bonds: Effects of Human Loneliness on the Anthropomorphization of Robots
Loneliness is a human experience that affects our social perception, including how we perceive robots as social beings. According to the Three-Factor Theory of Anthropomorphism, sociality motivation causes lonely humans to ascribe more social characteristics to robots. We tested this in a sequence of three studies (total $$N = 558$$ N = 558 ) within an art-science collaboration based on the installation Contact (2021), in which an industrial robo…
Moral reasoning in a digital age: Blaming artificial intelligence for incorrect high-risk decisions
The increasing involvement of Artificial Intelligence (AI) in moral decision situations raises the possibility of users attributing blame to AI-based systems for negative outcomes. In two experimental studies with a total of $$N = 911$$ participants, we explored the attribution of blame and underlying moral reasoning. Participants had to classify mushrooms in pictures as edible or poisonous with support of an AI-based app. Afterwards, participant…
Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task
Understanding the recommendations of an artificial intelligence (AI) based assistant for decision-making is especially important in high-risk tasks, such as deciding whether a mushroom is edible or poisonous. To foster user understanding and appropriate trust in such systems, we assessed the effects of explainable artificial intelligence (XAI) methods and an educational intervention on AI-assisted decision-making behavior in a 2 × 2 between subje…
(Counter-)stereotypical Gendering of Robots in Care: Impact on Needs Satisfaction and Gender Role Concepts in Men and Women Users
We present a video-based online study (N = 222) examining the impacts of gendering an in-home, socially assistive robot designed to aid with rehabilitative engagement. Specifically, we consider the potential impact on users’ basic psychological need (BPN) fulfillment alongside measures of the robot’s effectiveness as well as the potential impact on human caregiver gender preferences and propensity to gender stereotype more broadly. Our results su…
Human-Like Robots and the Uncanny Valley: A Meta-Analysis of User Responses Based on the Godspeed Scales
In the field of human-robot interaction, the well-known uncanny valley hypothesis proposes a curvilinear relationship between a robot’s degree of human likeness and the observers’ responses to the robot. While low to medium human likeness should be associated with increased positive responses, a shift to negative responses is expected for highly anthropomorphic robots. As empirical findings on the uncanny valley hypothesis are inconclusive, we co…
The uncanny of mind in a machine: Humanoid robots as tools, agents, and experiencers
Humanizing Human-Robot Interaction: On the Importance of Mutual Understanding
In conjunction with what is often called the industry 4.0, the new machine age, or the rise of the robots, the authors of this paper have each experienced the following phenomenon. At public events and roundtable discussions, among our circles of friends, or during interviews with the media, we are asked on a surprisingly regular basis: "How must humankind adapt to the imminent process of technological change? What do we have to learn in order to…
On the eeriness of service robots with emotional capabilities
The uncanny valley hypothesis suggests that high human-likeness of humanoid robots is associated with feelings of uncanniness (eeriness, creepiness). Based on the literature on mind perception two aspects of human-likeness were distinguished. An experiment showed that a robot's capacity to feel (experience) leads to stronger feelings of uncanniness than a robot's capacity to plan ahead and to exert self-control (agency), which is still more uncan…
The Persuasive Influence of a Fictional Character's Trustworthiness: Character Trustworthiness
The present research examined the role of a fictional character's trustworthiness on narrative persuasion. The authors suggest that trustworthiness indicators within the story, rather than paratextual cues (fact–fiction labeling) affect persuasive outcomes. An experiment on fuel-efficient driving behavior (green driving) was conducted, with behavioral intentions and self-reported behavior (3 weeks postexposure) as dependent variables. A story wit…
Human-Like Robots and the Uncanny Valley: A Meta-Analysis of User Responses Based on the Godspeed Scales
In the field of human-robot interaction, the well-known uncanny valley hypothesis proposes a curvilinear relationship between a robot’s degree of human likeness and the observers’ responses to the robot. While low to medium human likeness should be associated with increased positive responses, a shift to negative responses is expected for highly anthropomorphic robots. As empirical findings on the uncanny valley hypothesis are inconclusive, we co…
On the eeriness of service robots with emotional capabilities
The uncanny valley hypothesis suggests that high human-likeness of humanoid robots is associated with feelings of uncanniness (eeriness, creepiness). Based on the literature on mind perception two aspects of human-likeness were distinguished. An experiment showed that a robot's capacity to feel (experience) leads to stronger feelings of uncanniness than a robot's capacity to plan ahead and to exert self-control (agency), which is still more uncan…
The Persuasive Influence of a Fictional Character's Trustworthiness: Character Trustworthiness
The present research examined the role of a fictional character's trustworthiness on narrative persuasion. The authors suggest that trustworthiness indicators within the story, rather than paratextual cues (fact–fiction labeling) affect persuasive outcomes. An experiment on fuel-efficient driving behavior (green driving) was conducted, with behavioral intentions and self-reported behavior (3 weeks postexposure) as dependent variables. A story wit…
On the eeriness of service robots with emotional capabilities
The uncanny valley hypothesis suggests that high human-likeness of humanoid robots is associated with feelings of uncanniness (eeriness, creepiness). Based on the literature on mind perception two aspects of human-likeness were distinguished. An experiment showed that a robot's capacity to feel (experience) leads to stronger feelings of uncanniness than a robot's capacity to plan ahead and to exert self-control (agency), which is still more uncan…
Humanizing Human-Robot Interaction: On the Importance of Mutual Understanding
In conjunction with what is often called the industry 4.0, the new machine age, or the rise of the robots, the authors of this paper have each experienced the following phenomenon. At public events and roundtable discussions, among our circles of friends, or during interviews with the media, we are asked on a surprisingly regular basis: "How must humankind adapt to the imminent process of technological change? What do we have to learn in order to…
The uncanny of mind in a machine: Humanoid robots as tools, agents, and experiencers
Human-Like Robots and the Uncanny Valley: A Meta-Analysis of User Responses Based on the Godspeed Scales
In the field of human-robot interaction, the well-known uncanny valley hypothesis proposes a curvilinear relationship between a robot’s degree of human likeness and the observers’ responses to the robot. While low to medium human likeness should be associated with increased positive responses, a shift to negative responses is expected for highly anthropomorphic robots. As empirical findings on the uncanny valley hypothesis are inconclusive, we co…
Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task
Understanding the recommendations of an artificial intelligence (AI) based assistant for decision-making is especially important in high-risk tasks, such as deciding whether a mushroom is edible or poisonous. To foster user understanding and appropriate trust in such systems, we assessed the effects of explainable artificial intelligence (XAI) methods and an educational intervention on AI-assisted decision-making behavior in a 2 × 2 between subje…
(Counter-)stereotypical Gendering of Robots in Care: Impact on Needs Satisfaction and Gender Role Concepts in Men and Women Users
We present a video-based online study (N = 222) examining the impacts of gendering an in-home, socially assistive robot designed to aid with rehabilitative engagement. Specifically, we consider the potential impact on users’ basic psychological need (BPN) fulfillment alongside measures of the robot’s effectiveness as well as the potential impact on human caregiver gender preferences and propensity to gender stereotype more broadly. Our results su…
Moral reasoning in a digital age: Blaming artificial intelligence for incorrect high-risk decisions
The increasing involvement of Artificial Intelligence (AI) in moral decision situations raises the possibility of users attributing blame to AI-based systems for negative outcomes. In two experimental studies with a total of $$N = 911$$ participants, we explored the attribution of blame and underlying moral reasoning. Participants had to classify mushrooms in pictures as edible or poisonous with support of an AI-based app. Afterwards, participant…
Lonely Minds and Robotic Bonds: Effects of Human Loneliness on the Anthropomorphization of Robots
Loneliness is a human experience that affects our social perception, including how we perceive robots as social beings. According to the Three-Factor Theory of Anthropomorphism, sociality motivation causes lonely humans to ascribe more social characteristics to robots. We tested this in a sequence of three studies (total $$N = 558$$ N = 558 ) within an art-science collaboration based on the installation Contact (2021), in which an industrial robo…
Faces of AI
Psychology (8 works) · Artificial Intelligence (6 works) · Cognitive psychology (6 works) · Computer Science (6 works) · Social Robot Interaction and HRI (6 works) · Robot (5 works) · Social Psychology (5 works) · Ethics and Social Impacts of AI (4 works) · Human–computer interaction (4 works) · Business (3 works)