Investigate scaffolding tools and design options to increase the digital literacy of employees; Explore digital literacy for LLMs and LLMs for digital literacy; Explore trust in information technology, focusing on trust-building mechanisms in technology and employee satisfaction, particularly with LLMs; Conduct surveys and plan interventions, including neurophysiological quasi-experiments, to analyze trust-building mechanisms in technology and employee satisfaction; Explore the use of LLMs as a tool for creativity and innovation, supporting tasks and utilizing LLMs' generative function and pattern recognition abilities; Investigate the trustworthiness and explainability of LLMs' generative models
Requirements:
Master’s degree in Human-Computer Interaction (HCI), organizational psychology, information systems engineering, business informatics, technology in management, or a related field; Interest in applying qualitative and/or quantitative research methods from information systems engineering (e.g., Design Science Research), psychology (e.g., quasi-experiments, survey studies), and NeuroIS (e.g., skinconductance, EEG); Familiarity with interface design and respective programming languages and interest in semantic/cognitive search is beneficial; A collaborative team player with a desire to make a personal impact within our interdisciplinary research; group
Text:
Doctoral Candidate in Information Systems on LLMs & Intraorganizational Change Investigate scaffolding tools and design options to increase the digital literacy of employees; Explore digital literacy for LLMs and LLMs for digital literacy; Explore trust in information technology, focusing on trust-building mechanisms in technology and employee satisfaction, particularly with LLMs; Conduct surveys and plan interventions, including neurophysiological quasi-experiments, to analyze trust-building mechanisms in technology and employee satisfaction; Explore the use of LLMs as a tool for creativity and innovation, supporting tasks and utilizing LLMs' generative function and pattern recognition abilities; Investigate the trustworthiness and explainability of LLMs' generative models Master’s degree in Human-Computer Interaction (HCI), organizational psychology, information systems engineering, business informatics, technology in management, or a related field; Interest in applying qualitative and/or quantitative research methods from information systems engineering (e.g., Design Science Research), psychology (e.g., quasi-experiments, survey studies), and NeuroIS (e.g., skinconductance, EEG); Familiarity with interface design and respective programming languages and interest in semantic/cognitive search is beneficial; A collaborative team player with a desire to make a personal impact within our interdisciplinary research; group
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