身临其境的分析:流程、代理感和存在感对绩效和满意度的影响

Q1 Social Sciences
Jan P. Gründling, Benjamin Weyers
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引用次数: 0

摘要

性能和用户满意度是沉浸式分析的关键质量指标。只有在已知基本事实来评估用户操作或分析结果是否有误的情况下,才能测量错误率等方面的性能。因此,在没有基本事实的情况下,需要一种估算指标来显示用户的表现。这项工作通过两项实验研究了流量、代入感和临场感等可能的候选指标。首先,在没有任务相关语义的情况下,测试了这些候选指标对任务表现和满意度的预测价值,以减少任务互动一致性低带来的偏差。在第一个实验表明只有流动体验能预测绩效和满意度之后,第二个实验在一个真实的分析场景中测试了流动体验、绩效和满意度,以提高外部有效性。结果表明,流动体验可能是对性能和满意度的一个有希望的估算,因此也是对沉浸式分析工具质量的一个有希望的估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immersive Analytics: The Influence of Flow, Sense of Agency, and Presence on Performance and Satisfaction
Performance and user satisfaction are key quality indicators in immersive analytics. Performance in terms of, e.g., error rate can only be measured if a ground truth is known to evaluate whether a user action or analysis result is erroneous. Thus, an estimate measure is needed to indicate the user's performance without having a ground truth available. This work investigates flow, sense of agency and presence as possible candidates in two experiments. First, these candidates are tested for their predictive value for task performance and satisfaction without task-related semantics to reduce bias from low task-interaction congruence. After the first experiment showed that only flow predicts performance and satisfaction, the second experiment tests flow, performance, and satisfaction in a realistic analytics scenario to improve external validity. The results suggest that flow experience might be a promising estimate for performance and satisfaction and thus quality of the immersive analytics tool.
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来源期刊
Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction Social Sciences-Social Sciences (miscellaneous)
CiteScore
5.90
自引率
0.00%
发文量
257
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