arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2108.04640cs.HCcs.CYcs.SE
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基于软件可解释性需求的人物角色建模与评估

Modeling and Evaluating Personas with Software Explainability Requirements

Henrique Ramos, Mateus Fonseca, Lesandro Ponciano

摘要:

这项工作的重点是软件可解释性的背景下,这是生产的软件能够向用户解释的动态,管理其内部功能。当构建具有这种能力的软件时,用户模型包括关于他们的需求和他们对可解释性的感知的信息是基础。本研究调查了创建人物角色的过程,其中包括用户的可解释性,感知和需求的信息。所提出的方法是基于数据汇集与问卷调查,移情地图建模,分组的地图,从他们产生的人物角色和评价采用的人物角色感知量表的方法。在一个实证研究中,人物角色是从61个用户对问卷的响应数据中创建的。60名用户和38名设计师考虑人格知觉量表方法的属性所产生的人物角色进行评估。结果包括一组5个不同的人物角色,用户平均评分为3.7分,设计师平均评分为3.5分。在由用户和设计师判断的大多数标准中,中位数为5分之4。人物角色和他们的创建和评估方法是本研究的贡献,以设计的软件,满足可解释性的要求。

英文摘要:

This work focuses on the context of software explainability, which is the production of software capable of explaining to users the dynamics that govern its internal functioning. User models that include information about their requirements and their perceptions of explainability are fundamental when building software with such capability. This study investigates the process of creating personas that include information about users' explainability perceptions and needs. The proposed approach is based on data collection with questionnaires, modeling of empathy maps, grouping the maps, generating personas from them and evaluation employing the Persona Perception Scale method. In an empirical study, personas are created from 61 users' response data to a questionnaire. The generated personas are evaluated by 60 users and 38 designers considering attributes of the Persona Perception Scale method. The results include a set of 5 distinct personas that users rate as representative of them at an average level of 3.7 out of 5, and designers rate as having quality 3.5 out of 5. The median rate is 4 out of 5 in the majority of criteria judged by users and designers. Both the personas and their creation and evaluation approach are contributions of this study to the design of software that satisfies the explainability requirement.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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