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Dynamic Difficulty Adjustment (DDA) in Computer Games: A Review

Advances in human-computer interaction, 2018-01, Vol.2018, p.1-12 [Peer Reviewed Journal]

Copyright © 2018 Mohammad Zohaib. ;COPYRIGHT 2018 Hindawi Limited ;Copyright © 2018 Mohammad Zohaib. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1687-5893 ;EISSN: 1687-5907 ;DOI: 10.1155/2018/5681652

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  • Title:
    Dynamic Difficulty Adjustment (DDA) in Computer Games: A Review
  • Author: Zohaib, Mohammad
  • Nakanishi, Hideyuki ; Hideyuki Nakanishi
  • Subjects: Adaptation ; Adjustment ; Authorship ; Computer & video games ; Computer games ; Gamers ; Human-computer interaction ; Intelligence ; International conferences ; Learning curves ; Methods ; Skills ; Software engineering ; Studies
  • Is Part Of: Advances in human-computer interaction, 2018-01, Vol.2018, p.1-12
  • Description: Dynamic difficulty adjustment (DDA) is a method of automatically modifying a game’s features, behaviors, and scenarios in real-time, depending on the player’s skill, so that the player, when the game is very simple, does not feel bored or frustrated, when it is very difficult. The intent of the DDA is to keep the player engrossed till the end and to provide him/her with a challenging experience. In traditional games, difficulty levels increase linearly or stepwise during the course of the game. The features such as frequency, starting levels, or rates can be set only at the beginning of the game by choosing a level of difficulty. This can, however, result in a negative experience for players as they try to map a predecided learning curve. DDA attempts to solve this problem by presenting a customized solution for the gamers. This paper provides a review of the current approaches to DDA.
  • Publisher: New York: Hindawi
  • Language: English
  • Identifier: ISSN: 1687-5893
    EISSN: 1687-5907
    DOI: 10.1155/2018/5681652
  • Source: ProQuest One Psychology
    Geneva Foundation Free Medical Journals
    AUTh Library subscriptions: ProQuest Central
    DOAJ Directory of Open Access Journals
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