Systemizing Long-Term Research: Assessing Long-Term Automation Effects and Behaviour Modification

Abstract

Over the past years, numerous studies have paved the way towards a better understanding of human-automation interaction (HAI). However, there is neglect in research that focuses on the long-term effects of automation on user behaviour. The reason behind this has been highly emphasised. As, long-term research is one of the most critically challenging approaches and is quite expensive to conduct, among others. Moreover, many scholars argue that a major source of difficulty is defining how long a period is enough to consider the potential change in user behaviour or behaviour modification. In this discussion, we consider what constitutes long-term research, to prolifically draw knowledge on taxonomies and benchmarks for empirical evaluation strategies on changes in user behaviour. Further, we consider the trade-offs between long-term effects and learning effects. In addition, the reader should note that this paper is a fragment of dualistic parts of knowledge distribution on the topic of constructing a long-term research strategy for assessing learning effects, long-term effects and behaviour modification.