Automatic Task-Cluster Generation based on Document Switching and Revisitation.
Year: 2015
Type: conference-paper
Abstract: Personal Information Management (PIM) research is challenging primarily due to the inherent nature of PIM. Studies have shown that people often adopt \ntheir own schemes when organising their personal collections, possibly because PIM \ntool-support is still lacking. In this paper we investigate the problem of automatic organisation \nof personal information into task-clusters by transparently exploiting the user’s behaviour while \nperforming some tasks. We conduct a controlled experiment, with 22 participants, using three \ndifferent task-execution strategies to gather clean data for our evaluation. We use our PiMx (PIM \nanalytix) framework to analyse this data and understand better the issues associated with this \nproblem. Based on this analysis, we then present the incremental density-based clustering \n algorithm, iDeTaCt, that is able to transparently generate task-clusters by exploiting \ndocument switching and revisitation. We evaluate the algorithm’s performance using the collected \ndatasets. The results obtained are very encouraging and merit \nfurther investigation.
Source: OAR@UM (University of Malta)
Institution: University of Malta
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2407456316