Maximilian Seifermann
Papers
1
Total Citations
6
H-Index
1
About
Maximilian Seifermann is a researcher at the forefront of human-computer interaction, specializing in how language shapes user perceptions of artificial intelligence. His primary research area centers on artificial personality in conversational agents—exploring how verbal cues in chat- and voicebots, as well as social robots, influence the personalities users attribute to them. His most cited work, "Language Cues for Expressing Artificial Personality: A Systematic Literature Review for Conversational Agents" (2024), synthesizes interdisciplinary studies to map how linguistic features like word choice and tone create perceived character in AI. This contribution is pivotal for designers seeking to craft more engaging, trustworthy, or empathetic digital assistants. While his citation count is still growing, his review has already garnered 6 citations, signaling its foundational role in a rapidly evolving field. Seifermann’s work bridges psychology, linguistics, and AI development, offering a structured framework for understanding how subtle language shifts can make machines feel more human. For students and researchers, his research is a critical guide for building conversational agents that resonate authentically with users.
Research Focus
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Top Papers
- 1