Fact-Finding or Exploration: Identifying Latent Behavior Clusters in User’s Search Activities

Schwerdt, Johannes; Kotzyba, Michael; Nürnberger, Andreas

doi:10.1109/smc.2019.8914225

Cited by 1 publication

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In summary, given the large differences in file collections across operating system reported here, and the lack of associations between collections and individual differences, we suggest future work explore potential technological determinants. It may also be fruitful to search FM collection and retrieval data (e.g., with clustering or machine learning techniques) for latent common profiles [21] to aid in understanding and modelling FM activity.…”

Section: Discussionmentioning

confidence: 99%

Mac Users Do It Differently: the Role of Operating System and Individual Differences in File Management

Dinneen

Frissen

2020

Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Despite much discussion in HCI research about how individual differences likely determine computer users' personal information management (PIM) practices, the extent of the influence of several important factors remains unclear, including users' personalities, spatial abilities, and the different software used to manage their collections. We therefore analyse data from prior CHI work to explore (1) associations of people's file collections with personality and spatial ability, and (2) differences between collections managed with different operating systems and file managers. We find no notable associations between users' attributes and their collections, and minimal predictive power, but do find considerable and surprising differences across operating systems. We discuss these findings and how they can inform future research.

show abstract

Section: Discussionmentioning

confidence: 99%