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題名 了解生成式人工智能驅動的對話對玩家對非玩家角色感知的影響
Understanding the Impact of Generative AI-driven Dialogues on Player’s Perception of Non-Player Characters作者 周文睿 貢獻者 林日璇
周文睿關鍵詞 人工智慧
遊戲
非玩家角色
Artificial intelligence
Gaming
Non-player character日期 2024 上傳時間 4-Oct-2024 10:32:29 (UTC+8) 摘要 電子遊戲產業嚴重依賴複雜的敘事和逼真的非玩家角色（NPC）。遊戲編劇通常會廣泛研究遊戲背景的歷史和其他方面，以提高敘事的真實性，並在玩家中建立沉浸感。大多數商業上成功的遊戲主要依賴腳本化的對話交流，通常以選單選項的形式呈現。然而，生成式人工智慧的出現正顯著改變遊戲敘事和玩家與NPC 的互動方式。遊戲運用生成式人工智慧，特別是自然語言處理（NLP）和機器學習模型，根據玩家的互動動態生成對話並調整劇情。玩家可以選擇以書面或口頭形式與角色互動。生成式人工智慧對電子遊戲的影響仍處於早期階段。然而，遊戲產業專家預計，在未來的5 到10年內，它將在超過50％的電子遊戲創作過程中發揮重要作用，徹底改變該行業。本論文探討了生成式人工智慧如何通過比較由AI生成的對話和傳統由遊戲編劇編寫的對話，影響玩家對NPC 的看法。本論文關注兩個關鍵研究問題：玩家是否對生成式AI 的對話評價高於腳本化對話，以及NPC 的外觀是否增強了這些評價。此研究旨在揭示玩家如何與遊戲中的人工智慧（AI）功能互動的微妙層面，並提供有關電子遊戲產業中AI技術變革動態的洞見，強調技術進步與人類創造力之間的微妙平衡。
The video game industry heavily relies on intricate narratives and realistic non-player characters (NPCs). Game writers typically extensively research historical and other aspects of the game's setting to improve the narrative's realism and build a sense of immersion among players. Most commercially successful games predominantly depend on scripted dialog exchanges, frequently presented in the form of a menu of options. However, the emergence of generative AI is significantly transforming the creation of game narratives and player-NPC interactions. The game employs generative artificial intelligence, specifically natural language processing (NLP) and machine learning models, to dynamically create conversation and adjust the plot based on player interactions. Players have the option to interact with characters in written or spoken form. The impact of generative AI on video games is still in its early stages. However, gaming industry experts anticipate that over the next 5 to 10 years, it will play a significant role in over 50% of the video game creation process, revolutionizing the industry. This paper investigates how generative AI affects player perceptions of NPCs by comparing AI-generated dialogues with those traditionally scripted by gamewriters. This paper concerns two key research questions: whether players rate generative AI dialogues more favorably than scripted ones and if the NPCs' appearance enhances these evaluations. The research aims to shed light on the subtle aspects of how players engage with artificial intelligence (AI) features in games and offer insights into the changing dynamics of AI technologies in the gaming industry, emphasizing the fragile balance between technological progress and human creativity.參考文獻 Aarseth, E. (2012). A narrative theory of games. 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國立政治大學
國際傳播英語碩士學位學程(IMICS)
111461020資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111461020 資料類型 thesis dc.contributor.advisor 林日璇 zh_TW dc.contributor.author (Authors) 周文睿 zh_TW dc.creator (作者) 周文睿 zh_TW dc.date (日期) 2024 en_US dc.date.accessioned 4-Oct-2024 10:32:29 (UTC+8) - dc.date.available 4-Oct-2024 10:32:29 (UTC+8) - dc.date.issued (上傳時間) 4-Oct-2024 10:32:29 (UTC+8) - dc.identifier (Other Identifiers) G0111461020 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/153899 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 國際傳播英語碩士學位學程(IMICS) zh_TW dc.description (描述) 111461020 zh_TW dc.description.abstract (摘要) 電子遊戲產業嚴重依賴複雜的敘事和逼真的非玩家角色（NPC）。遊戲編劇通常會廣泛研究遊戲背景的歷史和其他方面，以提高敘事的真實性，並在玩家中建立沉浸感。大多數商業上成功的遊戲主要依賴腳本化的對話交流，通常以選單選項的形式呈現。然而，生成式人工智慧的出現正顯著改變遊戲敘事和玩家與NPC 的互動方式。遊戲運用生成式人工智慧，特別是自然語言處理（NLP）和機器學習模型，根據玩家的互動動態生成對話並調整劇情。玩家可以選擇以書面或口頭形式與角色互動。生成式人工智慧對電子遊戲的影響仍處於早期階段。然而，遊戲產業專家預計，在未來的5 到10年內，它將在超過50％的電子遊戲創作過程中發揮重要作用，徹底改變該行業。本論文探討了生成式人工智慧如何通過比較由AI生成的對話和傳統由遊戲編劇編寫的對話，影響玩家對NPC 的看法。本論文關注兩個關鍵研究問題：玩家是否對生成式AI 的對話評價高於腳本化對話，以及NPC 的外觀是否增強了這些評價。此研究旨在揭示玩家如何與遊戲中的人工智慧（AI）功能互動的微妙層面，並提供有關電子遊戲產業中AI技術變革動態的洞見，強調技術進步與人類創造力之間的微妙平衡。 zh_TW dc.description.abstract (摘要) The video game industry heavily relies on intricate narratives and realistic non-player characters (NPCs). Game writers typically extensively research historical and other aspects of the game's setting to improve the narrative's realism and build a sense of immersion among players. Most commercially successful games predominantly depend on scripted dialog exchanges, frequently presented in the form of a menu of options. However, the emergence of generative AI is significantly transforming the creation of game narratives and player-NPC interactions. The game employs generative artificial intelligence, specifically natural language processing (NLP) and machine learning models, to dynamically create conversation and adjust the plot based on player interactions. Players have the option to interact with characters in written or spoken form. The impact of generative AI on video games is still in its early stages. However, gaming industry experts anticipate that over the next 5 to 10 years, it will play a significant role in over 50% of the video game creation process, revolutionizing the industry. This paper investigates how generative AI affects player perceptions of NPCs by comparing AI-generated dialogues with those traditionally scripted by gamewriters. This paper concerns two key research questions: whether players rate generative AI dialogues more favorably than scripted ones and if the NPCs' appearance enhances these evaluations. The research aims to shed light on the subtle aspects of how players engage with artificial intelligence (AI) features in games and offer insights into the changing dynamics of AI technologies in the gaming industry, emphasizing the fragile balance between technological progress and human creativity. en_US dc.description.tableofcontents 1 Introduction 1 1.1 Research gap 4 1.2 Research contribution 4 2 Literature review 5 2.1 Defining Non-Player Character 5 2.2 Beliavibility of NPC characters 6 2.3 Player’s immersion 8 2.4 Artificial inteligence 9 2.4.1 Defínition of AI 9 2.4.2 Application of AI in gaming 10 2.4.3 Generative AI 11 2.4.4 Generative AI and NPCs 12 2.5 Heuristics in games 14 2.6 Anthropomorphism 16 2.7 The Uncanny Valley 17 3 Methodology 19 3.1 Introduction 19 3.2 Research method 19 3.3 Conceptual framework 20 3.4 Games included in a study 21 3.4.1 Cyberpunk 2077 21 3.4.2 Animal Crossing: New Horizons 22 3.4.3 Campfire 22 3.5 Stimulus Material 22 3.6 Pilot study 23 3.6.1 Measurements 25 3.7 Main study 30 3.7.1 Measurements 32 4 Results 37 4.1 The correlation between rationality and believability 38 4.2 The effect of NPC dialogue technique on Immersion 39 4.3 The effect of the NPC dialogue technique on the evaluation of dialogues 40 4.4 The effect of the NPC replies consistency on the player’s immersion 42 4.5 The effect of the realism heuristic on believability in NPC dialogue 44 4.6 The effect of the social-presence heuristic on immersion in NPC dialogue 45 4.7 The effect of Uncanny Valley on the believability of AI-human-like NPC 46 5 Discussion and limitations 47 5.1 Relationship between Rationality and Believability 47 5.2 Effect of Dialogue Technique on the overall evaluation 48 5.3 Effect of Realism and Social-Presence Heuristics 49 5.4 Effect of Uncanny Valley 49 5.5 Limitations and future research 50 6 Conclusion 52 7 Reference 53 zh_TW dc.format.extent 25022909 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111461020 en_US dc.subject (關鍵詞) 人工智慧 zh_TW dc.subject (關鍵詞) 遊戲 zh_TW dc.subject (關鍵詞) 非玩家角色 zh_TW dc.subject (關鍵詞) Artificial intelligence en_US dc.subject (關鍵詞) Gaming en_US dc.subject (關鍵詞) Non-player character en_US dc.title (題名) 了解生成式人工智能驅動的對話對玩家對非玩家角色感知的影響 zh_TW dc.title (題名) Understanding the Impact of Generative AI-driven Dialogues on Player’s Perception of Non-Player Characters en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Aarseth, E. 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