Sora OpenAI's Prelude: Social Media Perspectives on Sora OpenAI and the Future of AI Video Generation (2403.14665v1)
Abstract: The rapid advancement of Generative AI (Gen-AI) is transforming Human-Computer Interaction (HCI), with significant implications across various sectors. This study investigates the public's perception of Sora OpenAI, a pioneering Gen-AI video generation tool, via social media discussions on Reddit before its release. It centers on two main questions: the envisioned applications and the concerns related to Sora's integration. The analysis forecasts positive shifts in content creation, predicting that Sora will democratize video marketing and innovate game development by making video production more accessible and economical. Conversely, there are concerns about deepfakes and the potential for disinformation, underscoring the need for strategies to address disinformation and bias. This paper contributes to the Gen-AI discourse by fostering discussion on current and future capabilities, enriching the understanding of public expectations, and establishing a temporal benchmark for user anticipation. This research underscores the necessity for informed, ethical approaches to AI development and integration, ensuring that technological advancements align with societal values and user needs.
- Vivit: A video vision transformer. In Proceedings of the IEEE/CVF international conference on computer vision. 6836–6846.
- Vaswani Ashish. 2017. Attention is all you need. arXiv preprint arXiv: 1706.03762 (2017).
- Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877–1901.
- Generative pretraining from pixels. In International conference on machine learning. PMLR, 1691–1703.
- J. P. Choi. 2005. An Economic Analysis of Product Pre-announcements. CESifo Economic Studies 51, 2–3 (Jan. 2005), 299–319. https://doi.org/10.1093/cesifo/51.2-3.299
- Victoria Clarke and Virginia Braun. 2013. Successful qualitative research: A practical guide for beginners. Successful qualitative research (2013), 1–400.
- An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020).
- Philip Galanter. 2016. Generative Art Theory. , 146–180 pages. https://doi.org/10.1002/9781118475249.ch5
- ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans 2, 1 (Jan. 2024), 100027. https://doi.org/10.1016/j.chbah.2023.100027
- Christine Masters-Wheeler and Gracemarie Mike Fillenwarth. [n. d.]. 13. Program as Product: UX and Writing Program Design in Technical and Professional Communication. ([n. d.]).
- GenAICHI 2023: Generative AI and HCI at CHI 2023. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23). Association for Computing Machinery, New York, NY, USA, Article 350, 7 pages. https://doi.org/10.1145/3544549.3573794
- GenAICHI: Generative AI and HCI. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 110, 7 pages. https://doi.org/10.1145/3491101.3503719
- OpenAI. 2024a. Research: Video Generation Models as World Simulators. Retrieved February 28, 2024 from https://openai.com/research/video-generation-models-as-world-simulators
- OpenAI. 2024b. Sora OpenAI: Creating video from text. Retrieved February 27, 2024 from https://openai.com/sora
- Zero-shot text-to-image generation. In International Conference on Machine Learning. PMLR, 8821–8831.
- Make-a-video: Text-to-video generation without text-video data. arXiv preprint arXiv:2209.14792 (2022).
- Last Week with ChatGPT: A Weibo Study on Social Perspective regarding ChatGPT for Education and Beyond. arXiv preprint arXiv:2306.04325 (2023).
- RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 22, 29 pages. https://doi.org/10.1145/3544548.3581402
- Redefining qualitative analysis in the AI era: Utilizing ChatGPT for efficient thematic analysis. arXiv preprint arXiv:2309.10771 (2023).
- Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students. arXiv preprint arXiv:2401.14915 (2024).
- Reza Hadi Mogavi (19 papers)
- Derrick Wang (2 papers)
- Joseph Tu (4 papers)
- Hilda Hadan (9 papers)
- Sabrina A. Sgandurra (3 papers)
- Pan Hui (155 papers)
- Lennart E. Nacke (20 papers)