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AI robot jokes: Aggressive and affiliative humor perceived as funnier

By PulseAugur Editorial · [2 sources] ·

A new study published on arXiv explores how different humor styles and topics affect human perception of jokes delivered by AI robots. Researchers found that humor type significantly impacts how funny a joke is perceived, with aggressive and affiliative humor scoring higher. The content of the joke, specifically whether it was person-related or political, primarily influenced its appropriateness, with person-related jokes being favored. Language preference was also observed to be influenced by joke content and the participants' own language fluency and humor practices. AI

IMPACT This research could inform the development of more socially adept AI agents capable of nuanced humor in human-robot interactions.

RANK_REASON This is a research paper published on arXiv detailing experimental findings on AI-delivered humor.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Anna-Maria Velentza, Anne-Gwenn Bosser ·

    Humor Style Drives Laughter, Topic Shapes Acceptability: Evaluating Bilingual Personal and Political Robot-Delivered AI Jokes

    arXiv:2606.13256v1 Announce Type: cross Abstract: Humor plays a central role in human social relationships, and recent advances in computational humor create new opportunities for integrating humor into human-robot interaction (HRI). While large language models (LLMs) can generat…

  2. arXiv cs.AI TIER_1 English(EN) · Anne-Gwenn Bosser ·

    Humor Style Drives Laughter, Topic Shapes Acceptability: Evaluating Bilingual Personal and Political Robot-Delivered AI Jokes

    Humor plays a central role in human social relationships, and recent advances in computational humor create new opportunities for integrating humor into human-robot interaction (HRI). While large language models (LLMs) can generate diverse forms of humor, it remains unclear how h…

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