Behind Points and Levels — The Influence of Gamification Algorithms on Requirements Prioritization

Martina Z. Kolpondinos-Huber, M. Glinz
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引用次数: 14

Abstract

Prioritizing requirements is a crucial ingredient of successful Requirements Engineering (RE). The popular prioritization techniques assume that stakeholders are known and can be mandated to contribute to the prioritization process. This prerequisite no longer holds for many of today's systems where significant stakeholders (end-users, in particular) are outside organizational reach: they are neither known nor can they be identified among the members of the involved organizations. Classic techniques for involving these stakeholders such as polls or questionnaires are neither interactive nor collaborative, which is detrimental for prioritization. Social media enable collaborative prioritization, but fall short in motivating stakeholders outside organizational reach to participate voluntarily. In this light, we are developing the Garuso platform, which combines social media with gamification for motivating stakeholders. While first approaches to employing gamification in RE are promising, research is still in its infancy. Especially, little is known about the influence of the gamification algorithms controlling single game elements on the stakeholders' activities. In this paper we report on a field experiment in which we investigated this influence with Garuso. We found statistically significant differences between different algorithms controlling single game elements on the contributions of stakeholders to the prioritization of requirements.
点数和等级背后——游戏化算法对需求优先级的影响
对需求进行优先级排序是需求工程(RE)成功的关键因素。流行的优先级确定技术假设涉众是已知的,并且可以强制要求他们为优先级确定过程做出贡献。这一先决条件不再适用于今天的许多系统,其中重要的涉众(特别是最终用户)在组织范围之外:他们既不知道,也不能在相关组织的成员中识别出来。涉及这些利益相关者的经典技术,如投票或问卷调查,既不是交互式的,也不是协作的,这不利于优先级的确定。社交媒体使协作优先级得以实现,但在激励组织以外的利益相关者自愿参与方面却有所欠缺。有鉴于此,我们正在开发Garuso平台,该平台将社交媒体与游戏化相结合,以激励利益相关者。虽然在可再生能源中应用游戏化的第一个方法很有希望,但研究仍处于起步阶段。特别是,对于控制单个游戏元素的游戏化算法对利益相关者活动的影响知之甚少。在本文中,我们报告了一个田间试验,我们调查了这种影响与加鲁索。我们发现,在利益相关者对需求优先级的贡献上,控制单个博弈元素的不同算法之间存在统计学上的显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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