A5062843383- Advanced Software Engineering Methodologies
- Digital Marketing and Social Media
- Model-Driven Software Engineering Techniques
- Sentiment Analysis and Opinion Mining
- Consumer Behavior in Brand Consumption and Identification
- Ethics and Social Impacts of AI
- AI in Service Interactions
- Formal Methods in Verification
- Software Testing and Debugging Techniques
- Topic Modeling
- Service-Oriented Architecture and Web Services
- Software Engineering Research
- Advanced Text Analysis Techniques
- Software Reliability and Analysis Research
- Aesthetic Perception and Analysis
- Consumer Market Behavior and Pricing
- Machine Learning and Data Classification
- Migration, Ethnicity, and Economy
- Computational and Text Analysis Methods
- Race, History, and American Society
- Big Data and Business Intelligence
- Text and Document Classification Technologies
- Misinformation and Its Impacts
- Safety Systems Engineering in Autonomy
- Media, Gender, and Advertising
Technical University of Munich
2005-2025
RWTH Aachen University
2025
Institute of Education Sciences
2023
University of Tübingen
2023
New York University
2023
University of Arizona
2023
Trinity College
2023
Columbia University
2023
Yale University
2023
Allen Institute for Brain Science
2023
Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed automatically classify text. This paper compares performance ten such approaches (five lexicon-based, five machine learning algorithms) across 41 datasets covering major platforms, various sample sizes,...
The term "generative AI" refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. widespread diffusion this technology with examples Dall-E 2, GPT-4, and Copilot is currently revolutionizing the way we work communicate each other. In article, provide a conceptualization generative AI an entity in socio-technical systems models, systems, applications. Based on that, introduce limitations current...
Sentiment is fundamental to human communication. Countless marketing applications mine opinions from social media communication, news articles, customer feedback, or corporate Various sentiment analysis methods are available and new ones have recently been proposed. Lexicons can relate individual words expressions scores. In contrast, machine learning more complex interpret, but promise higher accuracy, i.e., fewer false classifications. We propose an empirical framework quantify these...
Conversational artificial intelligence (AI) disrupts how humans interact with technology. Recently, OpenAI introduced ChatGPT, a state-of-the-art dialogue model that can converse its human counterparts unprecedented capabilities. ChatGPT has witnessed tremendous attention from the media, academia, industry, and general public, attracting more than million users within days of release. However, explosive adoption for information search as an automated decision aid underscores importance to...
Smartphones have made it nearly effortless to share images of branded experiences. This research classifies social media brand imagery and studies user response. Aside from packshots (standalone product images), two types brand-related selfie appear online: consumer selfies (featuring brands consumers’ faces) an emerging phenomenon the authors term “brand selfies” (invisible consumers holding a product). The use convolutional neural networks identify these archetypes train language models...
Abstract In the rapidly advancing age of Generative AI, Large Language Models (LLMs) such as ChatGPT stand at forefront disrupting marketing practice and research. This paper presents a comprehensive exploration LLMs’ proficiency in sentiment analysis, core task research for understanding consumer emotions, opinions, perceptions. We benchmark performance three state-of-the-art LLMs, i.e., GPT-3.5, GPT-4, Llama 2, against established, high-performing transfer learning models. Despite their...
The term "generative AI'' refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. widespread diffusion this technology with examples Dall-E 2, GPT-4, and Copilot is currently revolutionizing the way we work communicate each other. In article, provide a conceptualization generative AI an entity in socio-technical systems models, systems, applications. Based on that, introduce limitations current...
Conversational artificial intelligence (AI) disrupts how humans interact with technology. Recently, OpenAI introduced ChatGPT, a state-of-the-art dialogue model that can converse its human counterparts unprecedented capabilities. ChatGPT has witnessed tremendous attention from the media, academia, industry, and general public, attracting more than million users within days of release. However, explosive adoption for information search as an automated decision aid underscores importance to...
Abstract Prior research revealed a striking heterogeneity of how consumers view smart objects, from seeing them as helpful partners to merely useful tool. We draw on mind perception theory assess whether the attribution mental states objects reveals differences in consumer–smart object relationships and device usage. train language model unobtrusively predict consumer‐generated text. provide rich set interpretable linguistic markers for perception, drawing diverse collection text‐mining...
The authors address the question of how to decide which test cases rerun after a modification. They emphasize that it is important these tests be selected systematically, because executing an entire suite validate few modifications can consume large amounts time and computational resources involve many people, unreliable exercise system by selecting intuitively or randomly. develop revalidation strategy based on extension Fischer algorithm (see K.F. et al., Proc. Nat. Telecom. Conf., 1981,...
Video content has become a major component of total internet traffic. Growing bandwidth and computational power conspire with an increasing number video editing tools, smartphones, online platforms that have facilitated production, distribution, consumption by businesses consumers alike. This makes relevant across business research disciplines. However, analyzing videos can be cumbersome manual task. Automated techniques are scattered technical publications often not directly accessible to...
Capable of generating photorealistic images, generative AI can augment human creativity and disrupt the economics marketing content production. While anecdotal evidence hints at high-quality visual outputs AI, little is known about these novel models' effectiveness across contexts. This paper explores disruptive potential text-to-image diffusion models for generation, systematically evaluating performance AI-generated vs. human-made images three important dimensions: perception (quality,...
To understand human learning and progress, it is crucial to curiosity. But how consistent curiosity’s conception assessment across scientific research disciplines? We present the results of a large collaborative project assessing correspondence between curiosity measures in personality psychology cognitive science. A total 820 participants completed 15 trait 9 tasks that tested multiple aspects information demand. show shared variance was captured by dimension reflecting directed...
Service failure and recovery (SFR) typically involves one or more people (or machines) talking writing to each other in a goal-directed conversation. While SFR represents prime context understand how language reflects shapes the service experience, this subfield has only begun apply text analysis methods theories context. This tutorial offers methodological guide for traditional large models suggests some future research paths SFR. We also provide user-friendly workflow repositories, Python...
To understand human learning and progress, it is crucial to curiosity. But how consistent curiosity’s conception assessment across scientific research disciplines? We present the results of a large collaborative project assessing correspondence between curiosity measures in personality psychology cognitive science. 820 participants completed 15 trait 9 tasks that tested multiple aspects information demand. show shared variance was captured by dimension reflecting directed...
Modelling the logical architecture of an automotive system as one central step in development process leads to early understanding fundamental functional properties under design. This supports developers making design decisions. However, due large size and complexity hence architecture, a good notation, method tooling is necessary. In this paper, we show how architectures can be modelled succinctly function nets using SysML-based notation. The usefulness for increased by comprehensible views...
Software maintenance requires altering programs as a result of errors or changes in user requirements. However, during such modifications new may be introduced, causing unintended, adverse side effects the software. Testing can prove to expensive terms both human and computational resources. An examination is made current selective retesting strategies which attempt reduce effort. Their advantages limitations are described discussion given how these could extended developed into practical...