1School of Nursing, Faculty of Life and Health Sciences, Ulster University, Derry-Londonderry, United Kingdom.
2School of Computing, Faculty of Computing, Engineering & Built Environment, Ulster University, Newtownabbey, United Kingdom.
Cyberpsychol Behav Soc Netw. 2019 Aug;22(8):543-551. doi: 10.1089/cyber.2019.0076.
The aim of this study was to evaluate the usage of a reminiscence app by people living with dementia and their family carers, by comparing event log data generated from app usage alongside the qualitative experience of the process. A cross-comparative analysis of electronic event logging data with qualitative interview data was conducted. Electronic event logging data were obtained for 28 participating dyads ( = 56) and the interview sample comprised 14 people living with dementia and 16 family carers ( = 30). A thematic analysis framework was used in the analysis of interview transcripts and the identification of recurrent themes. The cross-comparison of electronic event log data and qualitative data revealed 25 out of 28 dyads regularly engaged with a reminiscence app, with the analysis of usage patterns revealing four clusters classifying different levels of user engagement. The cross-comparison of data revealed that the nature of the relationship was a significant factor in ongoing user engagement. The comparative analysis of the electronic event logs as "ground truth" in combination with the qualitative lived experience can provide a deeper understanding on the usage of a reminiscence app for those living with dementia and their family carers. This work not only shows the benefits of using automated event log data mining but also shows its clear limitations without using complementary qualitative data analysis. As such, this work also provides key insights into using mixed methods for evaluating human-computer interaction technologies.
本研究旨在通过比较应用程序使用过程中生成的电子事件日志数据与定性体验,评估记忆辅助应用程序在痴呆症患者及其家庭照护者中的使用情况。对电子事件日志数据和定性访谈数据进行了交叉比较分析。为 28 对参与研究的个体( = 56)获得了电子事件日志数据,访谈样本包括 14 名痴呆症患者和 16 名家庭照护者( = 30)。访谈记录的分析采用了主题分析框架,确定了反复出现的主题。电子事件日志数据和定性数据的交叉比较揭示了 28 对中的 25 对经常使用记忆辅助应用程序,对使用模式的分析揭示了将用户参与程度分为四个层次的四个聚类。数据的交叉比较表明,人际关系的性质是持续用户参与的重要因素。将电子事件日志作为“真实数据”进行比较分析,并结合定性的生活体验,可以更深入地了解痴呆症患者及其家庭照护者对记忆辅助应用程序的使用情况。这项工作不仅展示了使用自动化事件日志数据挖掘的好处,还展示了在不使用补充定性数据分析的情况下,其明显的局限性。因此,这项工作还为评估人机交互技术的混合方法提供了重要的见解。
Cyberpsychol Behav Soc Netw. 2019-8
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