Timm Teubner
Biographic Data
| ID | 4606217 |
|---|---|
| NAME | Timm Teubner |
| GIVEN NAMES | Timm |
| FAMILY NAME | Teubner |
| SIGNATURE | TEUBNER T |
| AFFILIATIONS | Einstein Center Digital Future |
| ORCID | 0000-0002-5927-3770 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Under pressure: How time constraints, task complexity, and AI reliability shape human-AI interaction
This study investigates the impact of time pressure on human-AI collaboration in knowledge work environments. Drawing on dual-processing frameworks, specifically the heuristic-systematic model, we conducted an online experiment (n = 228) in which participants evaluated AI-generated responses across a series of tasks varying in complexity and correctness of AI responses. Participants subjected to a time-pressured treatment were compared to a contr…
Balancing innovation and safeguards for public legitimacy: A typology of sentiment toward AI regulation in the EU and US
The governance of Artificial Intelligence (AI) must balance innovation with safeguards to sustain public legitimacy. This study explores how participants in the European Union and the United States evaluate this trade-off by identifying archetypes of public expectations toward AI regulation. Drawing on survey data ( n = 292), we identify four archetypes of sentiment: Apprehensive Aspirationals (technologically literate skeptics favoring strong sa…
First vs. Lasting Impressions: How Cognitive and Affective Trust Cues Coordinate Match-Making in Online Sharing Platforms
Digital platforms facilitate the coordination, match making, and value creation for large groups of individuals. In consumer-to-consumer (C2C) online sharing platforms specifically, trust between these individuals is a central concept in determining which individuals will eventually engage in a transaction. The majority of today’s online platforms draw on various types of cues for group coordination and trust building among users. Current researc…
Facing Reciprocity: How Photos and Avatars Promote Interaction in Micro-communities
Online platforms facilitate the formation of micro-communities on the Internet by enabling exchange between locally dispersed individuals. Since all interactions are mediated through the online platform, user representation plays a critical role for such communities. Grounded in Social Exchange Theory, we report results of a behavioral experiment on the role of user profile photos and avatars for the emergence of network structures over time. Whi…
Tracing the legitimacy of Artificial Intelligence: A longitudinal analysis of media discourse
Home is where your Gaze is – Evaluating effects of embedding regional cues in user interfaces
Nature imagery in user interface design: The influence on user perceptions of trust and aesthetics
User interfaces often utilise imagery of pristine natural environments, even if the system’s purpose and context are unrelated to nature. In this paper, we build on evolutionary psychology to develop a theoretical model for the influence of nature imagery on user perceptions of trust, visual aesthetics, and purchase intentions in a corporate sales setting. We evaluate our model by means of an online experiment (n = 408) using a website with diffe…
Transparency and trust in artificial intelligence systems
Assistive technology featuring artificial intelligence (AI) to support human decision-making has become ubiquitous. Assistive AI achieves accuracy comparable to or even surpassing that of human experts. However, often the adoption of assistive AI systems is limited by a lack of trust of humans into an AI’s prediction. This is why the AI research community has been focusing on rendering AI decisions more transparent by providing explanations of an…
The limits of trust-free systems: A literature review on blockchain technology and trust in the sharing economy
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The limits of trust-free systems: A literature review on blockchain technology and trust in the sharing economy
Transparency and trust in artificial intelligence systems
Assistive technology featuring artificial intelligence (AI) to support human decision-making has become ubiquitous. Assistive AI achieves accuracy comparable to or even surpassing that of human experts. However, often the adoption of assistive AI systems is limited by a lack of trust of humans into an AI’s prediction. This is why the AI research community has been focusing on rendering AI decisions more transparent by providing explanations of an…
Home is where your Gaze is – Evaluating effects of embedding regional cues in user interfaces
Nature imagery in user interface design: The influence on user perceptions of trust and aesthetics
User interfaces often utilise imagery of pristine natural environments, even if the system’s purpose and context are unrelated to nature. In this paper, we build on evolutionary psychology to develop a theoretical model for the influence of nature imagery on user perceptions of trust, visual aesthetics, and purchase intentions in a corporate sales setting. We evaluate our model by means of an online experiment (n = 408) using a website with diffe…
Facing Reciprocity: How Photos and Avatars Promote Interaction in Micro-communities
Online platforms facilitate the formation of micro-communities on the Internet by enabling exchange between locally dispersed individuals. Since all interactions are mediated through the online platform, user representation plays a critical role for such communities. Grounded in Social Exchange Theory, we report results of a behavioral experiment on the role of user profile photos and avatars for the emergence of network structures over time. Whi…
Tracing the legitimacy of Artificial Intelligence: A longitudinal analysis of media discourse
First vs. Lasting Impressions: How Cognitive and Affective Trust Cues Coordinate Match-Making in Online Sharing Platforms
Digital platforms facilitate the coordination, match making, and value creation for large groups of individuals. In consumer-to-consumer (C2C) online sharing platforms specifically, trust between these individuals is a central concept in determining which individuals will eventually engage in a transaction. The majority of today’s online platforms draw on various types of cues for group coordination and trust building among users. Current researc…
Under pressure: How time constraints, task complexity, and AI reliability shape human-AI interaction
This study investigates the impact of time pressure on human-AI collaboration in knowledge work environments. Drawing on dual-processing frameworks, specifically the heuristic-systematic model, we conducted an online experiment (n = 228) in which participants evaluated AI-generated responses across a series of tasks varying in complexity and correctness of AI responses. Participants subjected to a time-pressured treatment were compared to a contr…
Balancing innovation and safeguards for public legitimacy: A typology of sentiment toward AI regulation in the EU and US
The governance of Artificial Intelligence (AI) must balance innovation with safeguards to sustain public legitimacy. This study explores how participants in the European Union and the United States evaluate this trade-off by identifying archetypes of public expectations toward AI regulation. Drawing on survey data ( n = 292), we identify four archetypes of sentiment: Apprehensive Aspirationals (technologically literate skeptics favoring strong sa…
Computer Science (7 works) · Psychology (5 works) · Ethics and Social Impacts of AI (4 works) · Human–computer interaction (4 works) · Social Psychology (4 works) · Digital Marketing and Social Media (3 works) · Perception (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Computational and Text Analysis Methods (2 works)