Miriam Gieselmann
Datos Biográficos
| ID | 4438045 |
|---|---|
| NOMBRE | Miriam Gieselmann |
| NOMBRES | Miriam |
| APELLIDO | Gieselmann |
| FIRMA | GIESELMANN M |
| AFILIACIONES | Leibniz-Institut für Wissensmedien |
| ORCID | 0000-0002-4245-9237 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 2 |
| OBRAS COMO AUTOR | 3 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Do managers accept artificial intelligence? Insights into the role of business area and AI functionality
Servant by default? How humans perceive their relationship with conversational AI
Conversational AI, like Amazon’s Alexa, are often marketed as tools assisting owners, but humans anthropomorphize computers, suggesting that they bond with their devices beyond an owner-tool relationship. Little empirical research has studied human-AI relationships besides relational proxies such as trust. We explored the relationships people form with conversational AI based on the Relational Models Theory (RMT, Fiske, 1992). Results of the fact…
The More Competent, the Better? The Effects of Perceived Competencies on Disclosure Towards Conversational Artificial Intelligence
Conversational AI (e.g., Google Assistant or Amazon Alexa) is present in many people’s everyday life and, at the same time, becomes more and more capable of solving more complex tasks. However, it is unclear how the growing capabilities of conversational AI affect people’s disclosure towards the system as previous research has revealed mixed effects of technology competence. To address this research question, we propose a framework systematically…
The More Competent, the Better? The Effects of Perceived Competencies on Disclosure Towards Conversational Artificial Intelligence
Conversational AI (e.g., Google Assistant or Amazon Alexa) is present in many people’s everyday life and, at the same time, becomes more and more capable of solving more complex tasks. However, it is unclear how the growing capabilities of conversational AI affect people’s disclosure towards the system as previous research has revealed mixed effects of technology competence. To address this research question, we propose a framework systematically…
The More Competent, the Better? The Effects of Perceived Competencies on Disclosure Towards Conversational Artificial Intelligence
Conversational AI (e.g., Google Assistant or Amazon Alexa) is present in many people’s everyday life and, at the same time, becomes more and more capable of solving more complex tasks. However, it is unclear how the growing capabilities of conversational AI affect people’s disclosure towards the system as previous research has revealed mixed effects of technology competence. To address this research question, we propose a framework systematically…
Servant by default? How humans perceive their relationship with conversational AI
Conversational AI, like Amazon’s Alexa, are often marketed as tools assisting owners, but humans anthropomorphize computers, suggesting that they bond with their devices beyond an owner-tool relationship. Little empirical research has studied human-AI relationships besides relational proxies such as trust. We explored the relationships people form with conversational AI based on the Relational Models Theory (RMT, Fiske, 1992). Results of the fact…
Do managers accept artificial intelligence? Insights into the role of business area and AI functionality
Computer Science (3 obras) · Psychology (3 obras) · Ethics and Social Impacts of AI (2 obras) · Social Psychology (2 obras) · Affect (linguistics (1 obra) · AI in Service Interactions (1 obra) · Artificial Intelligence (1 obra) · Behavioral Health and Interventions (1 obra) · Big Data and Business Intelligence (1 obra) · Business (1 obra)