Summary of Unveiling the Impact Of Multi-modal Interactions on User Engagement: a Comprehensive Evaluation in Ai-driven Conversations, by Lichao Zhang et al.
Unveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations
by Lichao Zhang, Jia Yu, Shuai Zhang, Long Li, Yangyang Zhong, Guanbao Liang, Yuming Yan, Qing Ma, Fangsheng Weng, Fayu Pan, Jing Li, Renjun Xu, Zhenzhong Lan
First submitted to arxiv on: 21 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the impact of multi-modal interactions on user engagement in chatbot conversations. Large Language Models (LLMs) have advanced user-bot interactions, enabling complex dialogues. However, text-only modality might not fully exploit potential for effective user engagement. The study analyzes chatbots and real-user interaction data, using retention rate and conversation length metrics to evaluate user engagement. Findings show a significant enhancement in user engagement with multi-modal interactions compared to text-only dialogues. Incorporation of a third modality amplifies engagement beyond benefits observed with two modalities. Results suggest that multi-modal interactions optimize cognitive processing and facilitate richer information comprehension. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study shows how using images, audio, and text together can make chatbot conversations more interesting and engaging for users. Researchers looked at how different types of chatbots and real people interacting with them affected user engagement. They used metrics like how long people kept talking to the chatbot and whether they went back to it later. The results showed that using multiple formats, like images and audio, can really make a difference in how engaged people are. This is important for creating better AI communication experiences. |
Keywords
» Artificial intelligence » Multi modal
