HomeSweetHome

Ha PAK, Kyungmin Kim, Sungyup Lee
About

HomeSweetHome is a game in which the player loses his memory and goes through the process of discovering his identity through interactions with NPCs on various planets. The game story and environment assets experienced by the player all utilize artificial intelligence generation models (Midjourney and Chat GPT) to shorten the resources required during the production process. Trust can be built through conversations with NPCs, each person created by artificial intelligence, and this affects the progression route. Depending on the dialogue the player chooses, the player's appearance changes, and there are two possible endings: an ending in which the player successfully finds his/her self, or an ending in which the player fails to find his/her self and becomes space dust. However, it is up to the player to decide whether to trust and use the hints he or she has obtained. Whether it goes in a good direction or a bad direction is not decided by one party, but is ultimately decided by the interaction between humans and artificial intelligence.

Artist

Ha PAK is currently an doctor course in Image Engineering-Technology Art at the Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University. She received a M.S in l’ École supérieure des arts décoratifs de Strasbourg, France in 2021. The current research topic is constructing specific forms using data.

Kyungmin Kim is currently studying a Master course in Technology Art at the Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University. She is currently interested in Game Production with generative AI models and Game Usability with HCI perspective.

Sungyup Lee He is studying his master course in FMA at Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University. He is currently interested in media art production and comparative analysis using artificial intelligence text-to-image generation models, and is attempting to combine various fields using artificial intelligence models

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