Visualising and examining sequential actions as behavioural paths that can be interpreted as markers of complex behaviours
作者：
Highlights：
• Exploration of action sequences in data streams of complex tasks in a digital setting.
• Visualising dominant paths in the network yields useful process information.
• Paths can be interpreted as components in measurement models of target latent traits.
• Method has implications for large scale analysis of performance on complex tasks.
摘要
•Exploration of action sequences in data streams of complex tasks in a digital setting.•Visualising dominant paths in the network yields useful process information.•Paths can be interpreted as components in measurement models of target latent traits.•Method has implications for large scale analysis of performance on complex tasks.
论文关键词：Complex task,Network vizualisation,Action sequence,Data mining,Behavioural path,Problem solving
论文评审过程：Received 29 June 2016, Revised 4 January 2017, Accepted 10 January 2017, Available online 12 January 2017, Version of Record 9 September 2017.
论文官网地址：https://doi.org/10.1016/j.chb.2017.01.027
