Nicole C. Krämer
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Let’s Talk AI with Psychology Expert Nicole Krämer Open
We need to better understand how humans interact with artificial intelligence. My personal AI mission: To contribute to a better understanding of the mechanisms when humans and AI work together.
"It’s Always About Them Wanting Our Data" - Vulnerable Groups’ Mental Models of and Attitudes Toward Vertical Data Flows Open
Vertical data flows (e.g., toward companies) are abstract and already difficult to understand for adults with some technical knowledge, exposing them to various privacy risks. Groups who lack relevant experiences or cognitive abilities are…
Seeing through the ad? An investigation of persuasion awareness, coping mechanisms, and credibility for targeted political advertisements Open
Contains fulltext : 325591.pdf (Publisher’s version ) (Open Access)
Tricking into trusting? The influence of social cues of a generative AI on perceived trust Open
Generative AI systems such as ChatGPT are increasingly used to assist with tasks or to receive information. Given that the systems are not perfectly reliable regarding the content they produce, human users need to carefully navigate to whi…
Exploring the Role of Transportation and Narrative Persuasion in Historical Virtual Reality from a Democratic Education Perspective Open
Virtual Reality (VR) is increasingly used in history education to enable immersive engagement with the past. While such applications may stimulate interest and emotional involvement, concerns have been raised about their potential to hinde…
Exploring the Role of Transportation and Narrative Persuasion in Historical Virtual Reality from a Democratic Education Perspective Open
Virtual Reality (VR) is increasingly used in history education to enable immersive engagement with the past. While such applications may stimulate interest and emotional involvement, concerns have been raised about their potential to hinde…
Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists Open
Background Artificial intelligence (AI)–enabled decision support systems are critical tools in medical practice; however, their reliability is not absolute, necessitating human oversight for final decision-making. Human reliance on such sy…
Development and validation of the Trust in AI Scale (TAIS) Open
In everyday life, users increasingly interact and communicate with AI systems. Despite the importance of trust in AI as an influencing factor for this interaction, there is a shortage of validated scales to reliably measure users’ trust. I…
Dr Who? Examining the Impact of Visibility in Media, Gender, and an Academic Title on Scientists’ Perceived Trustworthiness Online Open
The COVID-19 pandemic saw an increased visibility of scientists in both traditional and socialmedia. However, the perceived epistemic trustworthiness of scientists depends strongly on howthey communicate their expertise, especially when co…
When The Public Disagrees: Differential Effects of Negative User Comments and Form of Evidence on Scientists’ Trustworthiness Open
Social media platforms offer an undeniable potential for science communication. However, scientists and experts who use these platforms to engage with the public risk receiving negative feedback, which can potentially harm their trustworth…
Do You Share What You Believe? An Empirical Investigation of Recipients’ Reactions to Scientists’ Posts on Social Media Open
To understand user interactions with scientists’ posts, we investigate how characteristics of the recipient (motivation, need for cognition, trust in scientists) and the posts (scientific jargon, attitude alignment) affect recipients’ unde…
Challenges in Defining and Measuring Trust and Distrust in Science Open
Public trust in science is crucial for accepting scientific advances and following science-based recommendations. Equally, the study of public trust in science is crucial for identifying variations and understanding how and why laypeople g…
Does Polarizing News Become Less Polarizing When Written by an AI? Open
In this study, we examine how readers perceive the credibility of polarizing news purportedly written by a machine. In particular, we study whether a machine attribution can decrease the polarization inflicted by the self-confirmation bias…
Trust in AI Chatbots: The Perceived Expertise of ChatGPT in Subjective and Objective Tasks Open
With the advancement and increasing availability of AI based chatbots, it becomes relevant to better understand how people use and perceive these systems. Previous research shows that trust in algorithms varies as people assume algorithms …
Psychological Traits and Appropriate Reliance: Factors Shaping Trust in AI Open
Research in AI-enabled decision support often focuses on technological factors influencing reliance on AI. However, the end-users of AI systems are individuals with diverse personalities which potentially lead to differences in collaborati…
Differences in access to privacy information can partly explain digital inequalities in privacy literacy and self-efficacy Open
Users of digital technologies are still held legally responsible for managing their personal data. However, not all users have the same opportunities for privacy management as researchers find systematic sociodemographic differences in, fo…
Listen to the Scientists: Effects of Exposure to Scientists and General Media Consumption on Cognitive, Affective, and Behavioral Mechanisms During the COVID-19 Pandemic Open
Throughout the COVID-19 crisis, scientists around the globe have engaged in science communication to an unprecedented degree to convey first-hand epidemiological knowledge and information on preventive measures. The present work is aimed a…
Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists (Preprint) Open
BACKGROUND Artificial intelligence (AI)–enabled decision support systems are critical tools in medical practice; however, their reliability is not absolute, necessitating human oversight for final decision-making. Human reliance on such sy…
Time for transparent targeting: an investigation of targeting disclosures, coping mechanisms, credibility, and political attitude Open
A major problem with political microtargeting (PMT) is that users are often unaware that they are being targeted, whereas current transparency approaches fail to inform users. Therefore, the current work investigates two types of disclosur…
View article: In Seal We Trust? Investigating the Effect of Certifications on Perceived Trustworthiness of AI Systems
In Seal We Trust? Investigating the Effect of Certifications on Perceived Trustworthiness of AI Systems Open
Trust certification through so-called trust seals is a common strategy to help users ascertain the trustworthiness of a system. In this study, we examined trust seals for AI systems from two perspectives: (1) In a pre-registered online stu…
Communication style adaptation in Human-Computer Interaction: An empirical study on the effects of a voice assistant’s politeness and machine-likeness on people’s communication behavior during and after the interacting Open
Humans adapt their communication style when interacting with one another. With interactive technologies such as voice assistants taking over the role of an interaction partner, the question arises whether and to what extent humans also ada…
View article: Media representations of sexuality in an era of pornification
Media representations of sexuality in an era of pornification Open
As a result of digitalization, sexually explicit media content is now produced and distributed in much greater quantity and variety in private, public, and commercial contexts. Increased normalization of pornography, greater sexualization …
Balancing perceptions of targeting: An investigation of political microtargeting transparency through a calculus approach Open
Over the last few years, political advertisers have moved with their audiences: to social media platforms. Advertisers on these platforms aim to persuade voters by sending messages tailored to them based on their own data: political microt…