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Skill Specific Spoken Dialogues Based Personalized ATM Design to Maximize Effective Interaction for Visually Impaired Persona

机译:基于技能的口语对话的个性化ATM设计,可最大程度地提高视障人士的有效互动

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Making machines for visually impaired persons is very challenging because they do not receive any useful information through SIGHT. The perception of background activities can be a good supportive mechanism for visually impaired users. In this work we focus on ATMs and propose a new ATM design, i.e., skill specific spoken dialogues based ATM (3s ATM). The personalized ATM design fulfills the requirements of visually impaired people while provisioning services for normal users also. Our proposed ATM is designed to assimilate into conventional ATMs and enable the effective interaction of visually impaired users with the machine. We first analyze the conventional ATM system through heuristics index to simulate its standardized design. For peer evaluation, visually impaired participants carry out the task analysis for simulated systems, i.e., both conventional ATM and 3s ATM. We found that 3s ATM design achieves 47% higher learnablility and 76% better usability than conventional ATMs. Thus we can achieve the machine compliance by overlooking the barriers and needs of the visually impaired persons in design stage.
机译:为视障人士制造机器非常具有挑战性,因为它们不会通过SIGHT接收任何有用的信息。对于视障用户,背景活动的感知可能是很好的支持机制。在这项工作中,我们将重点放在ATM上,并提出一种新的ATM设计,即基于ATM的特定技能的口语对话(3s ATM)。个性化的ATM设计可以满足视障人士的需求,同时还可以为普通用户提供服务。我们建议的ATM旨在与传统的ATM融合,并使视障用户与机器进行有效交互。我们首先通过启发式索引分析传统的ATM系统,以模拟其标准化设计。为了进行同伴评估,视力障碍的参与者对模拟系统(即传统的ATM和3s ATM)进行任务分析。我们发现3s ATM设计比传统ATM的学习能力提高了47%,可用性提高了76%。因此,通过在设计阶段忽略视障人士的障碍和需求,我们可以实现机器的合规性。

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