Serious Game for Human Environmental Consciousness Education in Residents Daily Life

• URL: http://arxiv.org/abs/1503.05972v3
• Date: Fri, 21 Apr 2023 15:07:24 GMT
• Title: Serious Game for Human Environmental Consciousness Education in Residents Daily Life
• Authors: Jing Du
• Abstract summary: The purpose of the game is to raise the environmental consciousness among the game players and educate them the right actions they can make to better protect the environment while they are spending time on games. The game proposed in this study is for residential home operation. Other scenarios such as restaurant operation, grocery store operations are discussed as expansion of this study.
• Score: 1.283608820493284
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: It has been challenging to find ways to educate people to have better environmental consciousness. In some cases, people do not know what the right behaviors are to protect the environment. Game engine has been used in the AEC industry for visualization. However, it has barely been used in environmental consciousness education, for example, what operation can reduce building energy consumption, what items are recyclables. As social psychology studies show that video game can influence human behavior, a good designed game should provide the game player with right incentives and guide the users to make wiser choices for better environmental protection. This paper discussed a method to use serious game engines to educate the players the right actions that should be taken under in different scenarios. These actions in real life will results in a better environmental protection. The game proposed in this study is for residential home operation. Other scenarios such as restaurant operation, grocery store operations are discussed as expansion of this study. The game players points will be calculated based on their performance on different choices and when they surpass a certain level, different rewards will be gained in order for them to adjust their current living style. The purpose of the game is to raise the environmental consciousness among the game players and educate them the right actions they can make to better protect the environment while they are spending time on games.

Related papers

• Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors [40.395860809162265]
  This study delves into the under-explored realm of understanding the effects of moderation on player behavior within online gaming. We employ a quasi-experimental design and causal inference techniques to examine the impact of moderation in a real-world industry-scale moderation system. Our findings uncover the dual impact moderation has on reducing disruptive behavior and discouraging disruptive players from participating.
  arXiv  Detail & Related papers  (2024-11-01T22:01:25Z)
• The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions [3.082802504891278]
  The purpose of this study is to look at how a player's emotions are affected by the duration of the game. In comparison to shorter gameplay sessions, the experiment found that extended gameplay sessions did significantly affect the player's emotions.
  arXiv  Detail & Related papers  (2024-03-31T02:01:05Z)
• E-polis: A serious game for the gamification of sociological surveys [55.2480439325792]
  E-polis is a serious game that gamifies a sociological survey for studying young people's opinions regarding their ideal society. The game can be used to collect data on a variety of topics, such as social justice, and economic development, or to promote civic engagement.
  arXiv  Detail & Related papers  (2023-11-01T18:25:13Z)
• The Ethics of AI in Games [4.691076280925923]
  Video games are one of the richest and most popular forms of human-computer interaction. As artificial intelligence (AI) tools are gradually adopted by the game industry a series of ethical concerns arise. This paper calls for an open dialogue and action for the games of today and the virtual spaces of the future.
  arXiv  Detail & Related papers  (2023-05-12T11:41:05Z)
• What Would Jiminy Cricket Do? Towards Agents That Behave Morally [59.67116505855223]
  We introduce Jiminy Cricket, an environment suite of 25 text-based adventure games with thousands of diverse, morally salient scenarios. By annotating every possible game state, the Jiminy Cricket environments robustly evaluate whether agents can act morally while maximizing reward. In extensive experiments, we find that the artificial conscience approach can steer agents towards moral behavior without sacrificing performance.
  arXiv  Detail & Related papers  (2021-10-25T17:59:31Z)
• Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents [137.86426963572214]
  We show how to combine distinct behavioral policies to obtain a meaningful "fusion" policy. We propose four different policy fusion methods for combining pre-trained policies. We provide several practical examples and use-cases for how these methods are indeed useful for video game production and designers.
  arXiv  Detail & Related papers  (2021-04-21T16:08:44Z)
• On the environment-destructive probabilistic trends: a perceptual and behavioral study on video game players [0.0]
  This study uses Animal Crossing: New Horizons as a unique case study of how video games can affect humans' environmental perceptions. A dataset of 584 observations from a survey of ACNH players has enabled us to explore the relationship between in-game behaviors and perceptions.
  arXiv  Detail & Related papers  (2020-06-17T08:05:40Z)
• Learning to Simulate Dynamic Environments with GameGAN [109.25308647431952]
  In this paper, we aim to learn a simulator by simply watching an agent interact with an environment. We introduce GameGAN, a generative model that learns to visually imitate a desired game by ingesting screenplay and keyboard actions during training.
  arXiv  Detail & Related papers  (2020-05-25T14:10:17Z)
• Action Space Shaping in Deep Reinforcement Learning [7.508516104014916]
  Reinforcement learning has been successful in training agents in various learning environments, including video-games. We aim to gain insight on these action space modifications by conducting extensive experiments in video-game environments. Our results show how domain-specific removal of actions and discretization of continuous actions can be crucial for successful learning.
  arXiv  Detail & Related papers  (2020-04-02T13:25:55Z)
• Efficient exploration of zero-sum stochastic games [83.28949556413717]
  We investigate the increasingly important and common game-solving setting where we do not have an explicit description of the game but only oracle access to it through gameplay. During a limited-duration learning phase, the algorithm can control the actions of both players in order to try to learn the game and how to play it well. Our motivation is to quickly learn strategies that have low exploitability in situations where evaluating the payoffs of a queried strategy profile is costly.
  arXiv  Detail & Related papers  (2020-02-24T20:30:38Z)
• Exploration Based Language Learning for Text-Based Games [72.30525050367216]
  This work presents an exploration and imitation-learning-based agent capable of state-of-the-art performance in playing text-based computer games. Text-based computer games describe their world to the player through natural language and expect the player to interact with the game using text. These games are of interest as they can be seen as a testbed for language understanding, problem-solving, and language generation by artificial agents.
  arXiv  Detail & Related papers  (2020-01-24T03:03:51Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.