Tanja Messingschlager
Biographic Data
| ID | 4448716 |
|---|---|
| NAME | Tanja Messingschlager |
| GIVEN NAMES | Tanja |
| FAMILY NAME | Messingschlager |
| SIGNATURE | MESSINGSCHLAGER T |
| AFFILIATIONS | University of Würzburg |
| ORCID | 0000-0001-6737-8997 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Algorithmic bias in image-generating artificial intelligence: Prevalence and user perceptions
Image-generating AI is among the most popular generative AI applications, likely changing the visual mediated environments humans are exposed to on a mass scale. Prior work found that AI can be biased against women and minorities (algorithmic bias), whereas humans attribute rather high objectivity to AI. We focused on image-generating AI, analyzing the extent of algorithmic bias in AI-generated pictures and human responses to bias in image-genera…
Gender bias in text-to-image generative artificial intelligence: Neglect and stereotypical presentations across three popular platforms
Images generated by artificial intelligence (AI) were assumed to underrepresent women and to contain stereotypical portrayals. A total of 1344 images were generated at two times of measurement by DALL·E, Midjourney, and Stable Diffusion and were analyzed via a preregistered content analysis. Results revealed representational and presentational bias, varying between prompts and between AI platforms. Women were depicted less frequently than men in …
I, ChatGPT: Linguistic properties and human experiences of human- versus AI-generated stories
Generative AI is increasingly used to create texts, including fictional stories. Do stories generated by AI differ from stories created by humans regarding linguistic properties and recipients’ experiences? To answer these questions, we first asked ChatGPT and 100 non-professional human authors (i.e., students) to create stories based on similar prompts (Study 1). Linguistic analyses showed that ChatGPT stories included fewer personal pronouns an…
The impact of exposure to generative AI art on aesthetic appreciation, perceptions of AI mind, and evaluations of AI and of art careers
Visual art is increasingly created by generative artificial intelligence (generative AI). This study, conducted online with 470 US participants, investigated whether exposure to art attributed to AI may influence aesthetic appreciation, perceptions of AI mind, and evaluations of AI (acceptance of AI as an artist, evaluation of AI as an identity and realistic threat) and of art careers. Exposure to art introduced as generated by AI (vs a human art…
Attitudes towards AI: Measurement and associations with personality
Artificial intelligence (AI) has become an integral part of many contemporary technologies, such as social media platforms, smart devices, and global logistics systems. At the same time, research on the public acceptance of AI shows that many people feel quite apprehensive about the potential of such technologies—an observation that has been connected to both demographic and sociocultural user variables (e.g., age, previous media exposure). Yet, …
Creative artificial intelligence and narrative transportation
Mind ascribed to AI and the appreciation of AI-generated art
Creative artificial intelligence (AI) has received a lot of attention in recent years. Artworks that are introduced to be generated by AI (rather than a human artist) are, however, often evaluated negatively. Integrating extant research, we suggest that AI is ascribed less mind (i.e. agency and experience) which is responsible for this effect. In two experiments ( N = 176 and N = 381) we observed negative indirect effects of artist information (A…
This is an Insta-vention! Exploring Cognitive Countermeasures to Reduce Negative Consequences of Social Comparisons on Instagram
Social networking sites such as Instagram provide users with numerous social comparison cues, potentially leading to envy and lower self-esteem. We conducted two experiments, examining whether such negative consequences could be mitigated by brief cognitive interventions. In Experiment 1 (N = 391), we reminded users of the unrealistic nature of most Instagram posts in a 2 (intervention: disclaimer vs. control) × 2 (Instagram profile: upward vs. d…
Social robots and gamification for technology supported learning: An empirical study on engagement and motivation
Mind ascribed to AI and the appreciation of AI-generated art
Creative artificial intelligence (AI) has received a lot of attention in recent years. Artworks that are introduced to be generated by AI (rather than a human artist) are, however, often evaluated negatively. Integrating extant research, we suggest that AI is ascribed less mind (i.e. agency and experience) which is responsible for this effect. In two experiments ( N = 176 and N = 381) we observed negative indirect effects of artist information (A…
Social robots and gamification for technology supported learning: An empirical study on engagement and motivation
This is an Insta-vention! Exploring Cognitive Countermeasures to Reduce Negative Consequences of Social Comparisons on Instagram
Social networking sites such as Instagram provide users with numerous social comparison cues, potentially leading to envy and lower self-esteem. We conducted two experiments, examining whether such negative consequences could be mitigated by brief cognitive interventions. In Experiment 1 (N = 391), we reminded users of the unrealistic nature of most Instagram posts in a 2 (intervention: disclaimer vs. control) × 2 (Instagram profile: upward vs. d…
Mind ascribed to AI and the appreciation of AI-generated art
Creative artificial intelligence (AI) has received a lot of attention in recent years. Artworks that are introduced to be generated by AI (rather than a human artist) are, however, often evaluated negatively. Integrating extant research, we suggest that AI is ascribed less mind (i.e. agency and experience) which is responsible for this effect. In two experiments ( N = 176 and N = 381) we observed negative indirect effects of artist information (A…
Attitudes towards AI: Measurement and associations with personality
Artificial intelligence (AI) has become an integral part of many contemporary technologies, such as social media platforms, smart devices, and global logistics systems. At the same time, research on the public acceptance of AI shows that many people feel quite apprehensive about the potential of such technologies—an observation that has been connected to both demographic and sociocultural user variables (e.g., age, previous media exposure). Yet, …
Creative artificial intelligence and narrative transportation
I, ChatGPT: Linguistic properties and human experiences of human- versus AI-generated stories
Generative AI is increasingly used to create texts, including fictional stories. Do stories generated by AI differ from stories created by humans regarding linguistic properties and recipients’ experiences? To answer these questions, we first asked ChatGPT and 100 non-professional human authors (i.e., students) to create stories based on similar prompts (Study 1). Linguistic analyses showed that ChatGPT stories included fewer personal pronouns an…
The impact of exposure to generative AI art on aesthetic appreciation, perceptions of AI mind, and evaluations of AI and of art careers
Visual art is increasingly created by generative artificial intelligence (generative AI). This study, conducted online with 470 US participants, investigated whether exposure to art attributed to AI may influence aesthetic appreciation, perceptions of AI mind, and evaluations of AI (acceptance of AI as an artist, evaluation of AI as an identity and realistic threat) and of art careers. Exposure to art introduced as generated by AI (vs a human art…
Algorithmic bias in image-generating artificial intelligence: Prevalence and user perceptions
Image-generating AI is among the most popular generative AI applications, likely changing the visual mediated environments humans are exposed to on a mass scale. Prior work found that AI can be biased against women and minorities (algorithmic bias), whereas humans attribute rather high objectivity to AI. We focused on image-generating AI, analyzing the extent of algorithmic bias in AI-generated pictures and human responses to bias in image-genera…
Gender bias in text-to-image generative artificial intelligence: Neglect and stereotypical presentations across three popular platforms
Images generated by artificial intelligence (AI) were assumed to underrepresent women and to contain stereotypical portrayals. A total of 1344 images were generated at two times of measurement by DALL·E, Midjourney, and Stable Diffusion and were analyzed via a preregistered content analysis. Results revealed representational and presentational bias, varying between prompts and between AI platforms. Women were depicted less frequently than men in …
Psychology (6 works) · Computer Science (4 works) · AI in Service Interactions (3 works) · Art (3 works) · Artificial Intelligence (3 works) · Artificial Intelligence in Healthcare and Education (3 works) · Generative grammar (3 works) · Social Psychology (3 works) · Aesthetic Perception and Analysis (2 works) · Aesthetics (2 works)