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EmoBall: A Study on a Tangible Interface to Self-report Emotional Information Considering Digital Competences

机译：EmoBall：关于考虑数字能力的自我报告情绪信息的有形界面的研究

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摘要

Monitoring emotional information is highly complex: it is difficult to accurately register it due to subjectivity and technical complexities; and it is difficult to provide reliability and incorporate contextual information. However, it is an important problem in healthcare, since it is useful to monitor people, especially if they are at a high risk of depression or other mental illnesses. Research in affective computing seeks to generate new methodologies to help store, analyze and share this information. Several techniques have been proposed to monitor emotions. One of them is self-report, which is a subjective method of measuring emotions from the perspective of the individual. This work presents a new tangible interface to self-report emotions, called EmoBall, specifically designed for people with low digital competences, since it requires practically no previous knowledge of technology. We evaluated this interface and analyze the results of the evaluation, considering the digital skills of the interviewed users. We found EmoBall to be a promising first step towards a tangible interface to self-report emotions; however, we did not find evidence of digital competences affecting user perceptions of the device. This paper discusses our insights regarding the reasons for these results, as well as directions for future research.
机译：监视情感信息非常复杂：由于主观性和技术复杂性，很难准确注册它；并且很难提供可靠性和合并上下文信息。但是，这在医疗保健中是一个重要的问题，因为对人们进行监视非常有用，尤其是在他们面临抑郁或其他精神疾病的高风险的情况下。情感计算研究寻求产生新的方法来帮助存储，分析和共享此信息。已经提出了几种监测情绪的技术。其中之一是自我报告，这是一种从个人角度衡量情绪的主观方法。这项工作为自我报告的情绪提供了一个新的有形界面，称为EmoBall，专门为数字能力低下的人设计，因为它实际上不需要任何技术知识。考虑到受访用户的数字技能，我们评估了该界面并分析了评估结果。我们发现EmoBall是迈向有形界面以自我报告情绪的有希望的第一步；但是，我们没有找到证明数字能力影响用户对设备感知的证据。本文讨论了我们对这些结果的原因的见解，以及未来研究的方向。

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