Open AccessA Context-Aware and Immersive Puzzle Game using Machine Learning and Big Data Analysis
Author(s) -
Peiyi Li,
Peilin Li,
John E. Morris,
Sun Yu
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.111717
Subject(s) - game mechanics , computer science , turns, rounds and time keeping systems in games , video game design , entertainment , game developer , emergent gameplay , pace , game design , context (archaeology) , metagaming , video game , task (project management) , feeling , multimedia , game testing , human–computer interaction , video game development , repeated game , game design document , game theory , psychology , simultaneous game , social psychology , engineering , mathematics , mathematical economics , art , systems engineering , visual arts , biology , paleontology , geodesy , geography
Recent years, video games have become one of the main forms of entertainment for people of all ages, in which millions of members publicly show their screenshots while playing games or share their experience of playing games [4]. Puzzle game is a popular game genre among various video games, it challenges players to find the correct solution by providing them with different logic/conceptual problems. However, designing a good puzzle game is not an easy task [5]. This paper designs a puzzle game for players of all age ranges with proper difficulty level, various puzzle mechanics and attractive background setting stories. We applied our games to different players to test play and conducted a qualitative evaluation of the approach. The results show that the pace of puzzle games affects play experience a lot and the difficulty level of the puzzles affects players' feelings to the game.
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