Summary of Factors Influencing User Willingness to Use Sora, by Gustave Florentin Nkoulou Mvondo et al.
Factors Influencing User Willingness To Use SORA
by Gustave Florentin Nkoulou Mvondo, Ben Niu
First submitted to arxiv on: 7 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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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 Sora’s text-to-video (T2V) model promises to revolutionize visual content creation, but understanding user willingness to use it is crucial. This study extends the UTAUT2 theory by examining perceived realism and novelty value as drivers of adoption. A survey of 940 US respondents revealed that perceived realism is the most influential factor, followed by novelty value. The findings also identified five configurations leading to high or low willingness to use T2V models, demonstrating high predictive validity. This research provides valuable insights for developers and marketers, offering guidance on promoting widespread adoption. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Sora’s text-to-video (T2V) model can create amazing videos from texts! But have you ever wondered why people would want to use it? A team of researchers studied this question by asking 940 people in the US what they thought. They found that if people think the video is realistic, or new and exciting, they are more likely to want to use T2V. The study also showed that there are different reasons why people might want to use or not use T2V, which can help developers make good decisions. |
