Eva Lermer
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View article: The Association Between Family Planning and Psychological Distress in Individuals With Minoritized Gender Identities in Germany: A Cross‐Sectional Study During the <scp>COVID</scp> ‐19 Pandemic
The Association Between Family Planning and Psychological Distress in Individuals With Minoritized Gender Identities in Germany: A Cross‐Sectional Study During the <span>COVID</span> ‐19 Pandemic Open
Background Among transgender and gender diverse (TGD) individuals there is an increasing desire for parenthood. TGD individuals must overcome unique legal, social and physiological obstacles to realize their desire to become parents. Indee…
View article: The trust–NPS correlation: The role of trust in promoting customer loyalty in Swiss financial institutions
The trust–NPS correlation: The role of trust in promoting customer loyalty in Swiss financial institutions Open
The Net Promoter Score (NPS) is a widely used key performance indicator (KPI) for measuring customer loyalty and guiding customer-centric strategies. While customer trust has been identified as an important influencing factor for NPS, exis…
View article: Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study
Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study Open
Background: Artificial intelligence (AI) has the potential to ease the increasing workload in ophthalmology by supporting ophthalmologists’ clinical decision-making. However, despite regulatory approvals, the adoption and use of AI-enabled…
View article: Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study
Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study Open
View article: Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study
Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study Open
Background: Artificial intelligence (AI) has the potential to ease the increasing workload in ophthalmology by supporting ophthalmologists’ clinical decision-making. However, despite regulatory approvals, the adoption and use of AI-enabled…
View article: Navigating the complexity of AI adoption in psychotherapy by identifying key facilitators and barriers
Navigating the complexity of AI adoption in psychotherapy by identifying key facilitators and barriers Open
Artificial intelligence (AI) technologies in mental healthcare offer promising opportunities to reduce therapists’ burden and enhance healthcare delivery, yet adoption remains challenging. This study identified key facilitators and barrier…
View article: AI-augmented decision-making in face matching: Comparing concurrent and non-concurrent advice presentation
AI-augmented decision-making in face matching: Comparing concurrent and non-concurrent advice presentation Open
A primary aim of human-AI teaming is to achieve better collaborative performance than either can achieve alone. Despite considerable efforts in this direction, issues such as overreliance of users on decision aids continue to be a challeng…
View article: Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study Open
Background As mental health disorders continue to surge, exceeding the capacity of available therapeutic resources, the emergence of technologies enabled by artificial intelligence (AI) offers promising solutions for supporting and deliver…
View article: Understanding the Influence of Design-Related Factors on Human-AI Teaming in a Face Matching Task
Understanding the Influence of Design-Related Factors on Human-AI Teaming in a Face Matching Task Open
There is a steep rise in the use of decision aids enabled by artificial intelligence (AI) for facial identity verification. The use of such systems and the impact of their implementation on human decision-making is still not well understoo…
View article: Underreliance Harms Human-AI Collaboration More Than Overreliance in Medical Imaging
Underreliance Harms Human-AI Collaboration More Than Overreliance in Medical Imaging Open
Importance: The use of artificial intelligence (AI) to support clinicians in diagnostic decision-making holds significant potential; however, evidence regarding its clinical utility remains mixed. In many cases, the interaction between hea…
View article: AI and work design: A positive psychology approach to employee well-being
AI and work design: A positive psychology approach to employee well-being Open
In this conceptual contribution to the journal “Group. Interaction. Organization.” (GIO) the integration of Artificial Intelligence (AI) into work processes and its impact on employee psychological well-being is examined, particularly focu…
View article: Future Work Self salience: A meta-analysis
Future Work Self salience: A meta-analysis Open
Future Work Self salience (FWSS) refers to how vividly individuals envision their future selves in their careers, representing personally relevant hopes and aspirations related to work (Strauss et al., 2012). Research on FWSS has expanded …
View article: Assistive technologies in healthcare: utilization and healthcare workers perceptions in Germany
Assistive technologies in healthcare: utilization and healthcare workers perceptions in Germany Open
Background According to the WHO, assistive technology (AT) is defined as the superset of technologies that improve or maintain the functioning of different senses, mobility, self-care, well-being, and inclusion of patients. ATs also includ…
View article: Ratio Bias Across Cultures and Disciplines: How Academic Background Shapes Statistical Decision‐Making
Ratio Bias Across Cultures and Disciplines: How Academic Background Shapes Statistical Decision‐Making Open
Ratios are an instrumental component of the communication of probabilities such as COVID incidence rates, side effects of medical drugs, or political decision‐making; hence, they are a critical component of an individual's statistical deci…
View article: Acceptance and motivational effect of AI-driven feedback in the workplace: an experimental study with direct replication
Acceptance and motivational effect of AI-driven feedback in the workplace: an experimental study with direct replication Open
Artificial intelligence (AI) is increasingly taking over leadership tasks in companies, including the provision of feedback. However, the effect of AI-driven feedback on employees and its theoretical foundations are poorly understood. We a…
View article: Understanding the Influence of Design-Related Factors on Human-AI Teaming in a Face Matching Task
Understanding the Influence of Design-Related Factors on Human-AI Teaming in a Face Matching Task Open
There is a steep rise in the use of facial identification decision aids enabled by artificial intelligence (AI) for identity verification. The use of such systems and the impact of their implementation on human decision-making is still not…
View article: AI-enabled clinical decision support tools for mental healthcare: A product review
AI-enabled clinical decision support tools for mental healthcare: A product review Open
The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decision Support Systems (AI-CDSS) for mental healthcare. From 84 potential products, seven fulfilled the inclusion criteria. The products can be…
View article: Exploring predictors of AI chatbot usage intensity among students: Within- and between-person relationships based on the technology acceptance model
Exploring predictors of AI chatbot usage intensity among students: Within- and between-person relationships based on the technology acceptance model Open
The current research investigated the factors associated with the intensity of AI chatbot usage among university students, applying the Technology Acceptance Model (TAM) and its extended version, TAM3. A daily diary study over five days wa…
View article: Validation of the German work-related basic need satisfaction scale (W-BNS-G)
Validation of the German work-related basic need satisfaction scale (W-BNS-G) Open
View article: Underreliance Harms Human-AI Collaboration More Than Overreliance in Medical Imaging
Underreliance Harms Human-AI Collaboration More Than Overreliance in Medical Imaging Open
Importance: The use of artificial intelligence (AI) to support clinicians in diagnostic decision-making holds significant potential; however, evidence regarding its clinical utility remains mixed. In many cases, the interaction between hea…
View article: Assistive Technologies in Healthcare: Utilization and Healthcare Workers Perceptions in Germany
Assistive Technologies in Healthcare: Utilization and Healthcare Workers Perceptions in Germany Open
Background: Assistive technologies (ATs), such as robots or decision support systems, can improve efficiency and reduce workload. Our study evaluates the adoption and perception of ATs among healthcare workers (HCWs) in Germany. Methods: A…
View article: You may fail but won’t quit? Linking servant leadership with error management culture is positively associated with employees’ motivational quality
You may fail but won’t quit? Linking servant leadership with error management culture is positively associated with employees’ motivational quality Open
Research on positive associations between servant leadership, basic need satisfaction (BNS), and employees’ work motivation is well-established. From a self-determination theory perspective, we argue that servant leadership behavior is not…
View article: A Tutorial on Tailored Simulation-Based Sample-Size Planning for Experimental Designs With Generalized Linear Mixed Models
A Tutorial on Tailored Simulation-Based Sample-Size Planning for Experimental Designs With Generalized Linear Mixed Models Open
When planning experimental research, determining an appropriate sample size and using suitable statistical models are crucial for robust and informative results. The recent replication crisis underlines the need for more rigorous statistic…
View article: Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study Open
Background:As mental health disorders continue to surge, exceeding the capacity of available therapeutic resources, the emergence of technologies enabled by artificial intelligence (AI) offers promising solutions for supporting and deliver…
View article: Acceptance and motivational effect of AI-driven feedback in the workplace: An experimental study with direct replication
Acceptance and motivational effect of AI-driven feedback in the workplace: An experimental study with direct replication Open
Artificial intelligence (AI) is increasingly taking over leadership tasks in companies, including the provision of feedback. However, the effect of AI-driven feedback on employees and its theoretical foundations are poorly understood. We a…
View article: Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology
Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology Open
Background Artificial intelligence–enabled clinical decision support systems (AI-CDSSs) offer potential for improving health care outcomes, but their adoption among health care practitioners remains limited. Objective This meta-analysis id…
View article: Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task
Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task Open
Despite the rise of decision support systems enabled by artificial intelligence (AI) in personnel selection, their impact on decision-making processes is largely unknown. Consequently, we conducted five experiments ( N = 1403 students and …
View article: Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist
Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist Open
Our results offer valuable insights for technology developers, healthcare providers, and policymakers, contributing to unlocking the potential of skin cancer screening apps in bridging healthcare gaps in underserved communities.
View article: Examining the link between social exclusion and social-risk taking: a correlational and experimental investigation
Examining the link between social exclusion and social-risk taking: a correlational and experimental investigation Open
Background Previous research has consistently shown that social exclusion increases the proclivity for risk-taking. However, theoretical approaches like the Social Risk Hypothesis suggest that this relationship flips when confronted with s…
View article: Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology (Preprint)
Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology (Preprint) Open
BACKGROUND Artificial intelligence–enabled clinical decision support systems (AI-CDSSs) offer potential for improving health care outcomes, but their adoption among health care practitioners remains limited. OBJECTIVE This meta-analysis…