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Do You Feel the Same? On the Robustness of Cued-Recall Debriefing for User Experience Evaluation
ACM Transactions on Computer-Human Interaction ( IF 4.8 ) Pub Date : 2021-07-23 , DOI: 10.1145/3453479
Anders Bruun 1 , Effie Lai-Chong Law 2 , Thomas Dyhre Nielsen 1 , Matthias Heintz 2
Affiliation  

Cued Recall Debriefing (CRD) is a form of retrospective think aloud approach. It involves re-immersing users to a level where emotional responses are comparable to those experienced during actual interaction with a system. To validate whether the robustness of CRD would vary with the time gap between the actual and recalled event and with the affective state preceding the recall, two empirical studies with altogether 100 participants were conducted. Specifically, participants’ emotions were measured in terms of galvanic skin response (GSR) , heart rate (HR) , and self-assessment manikin (SAM) rating when they were interacting with an email client seeded with usability problems. The same measures were taken when they viewed the videoed interactions. Two between-subject variables were ‘intervening time’ (from 0 minutes up to 24 hours) and ‘intervening affect’ (images with different valence and arousal). Advanced computational models were applied to optimise the shifting of GSR/HR waves generated at the actual interaction and recall phases, which were found to be significantly correlated. The shifting process is necessary for addressing the memory effect and is a methodological innovation. Overall, CRD proved to be a robust method that can be deployed to a broad range of HCI research and practice contexts.

中文翻译:

你有同样的感觉吗?关于用户体验评估的线索召回汇报的鲁棒性

提示召回汇报(CRD)是一种回顾性的大声思考的方法。它涉及将用户重新沉浸到情绪反应与系统实际交互过程中所经历的情绪反应相当的水平。为了验证 CRD 的稳健性是否会随着实际事件和回忆事件之间的时间间隔以及回忆之前的情感状态而变化,进行了两项共有 100 名参与者的实证研究。具体来说,参与者的情绪是根据以下方面来衡量的皮肤电反应 (GSR),心率 (HR), 和自我评估模型 (SAM)当他们与存在可用性问题的电子邮件客户端交互时进行评分。他们在观看视频互动时也采取了同样的措施。两个受试者之间的变量是“干预时间”(从 0 分钟到 24 小时)和“干预影响”(具有不同效价和唤醒的图像)。应用先进的计算模型来优化在实际交互和回忆阶段产生的 GSR/HR 波的移动,这些波被发现是显着相关的。转换过程对于解决记忆效应是必要的,是一种方法创新。总体而言,CRD 被证明是一种强大的方法,可以部署到广泛的 HCI 研究和实践环境中。
更新日期:2021-07-23
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