2015
DOI: 10.1007/978-3-319-18251-3_9
|View full text |Cite
|
Sign up to set email alerts
|

Spatiotemporal Behavior Profiling: A Treasure Hunt Case Study

Abstract: Abstract. Trajectories have been providing us with a wealth of derived information such as traffic conditions and road network updates. This work focuses on deriving user profiles through spatiotemporal analysis of trajectory data to provide insight into the quality of information provided by users. The presented behavior profiling method assesses user participation characteristics in a treasurehunt type event. Consisting of an analysis and a profiling phase, analysis involves a timeline and a stay-point analy… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2016
2016
2016
2016

Publication Types

Select...
2

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 15 publications
0
3
0
Order By: Relevance
“…To collect validation data, we set up an experiment similar to the one described in [2]. During the welcome week of the University of Twente, called the Kick-In, the new students were invited to participate in a treasure hunt-like game that lasted four hours.…”
Section: Data Collectionmentioning
confidence: 99%
See 1 more Smart Citation
“…To collect validation data, we set up an experiment similar to the one described in [2]. During the welcome week of the University of Twente, called the Kick-In, the new students were invited to participate in a treasure hunt-like game that lasted four hours.…”
Section: Data Collectionmentioning
confidence: 99%
“…This makes trajectory data a promising source to determine personal preferences and needs, as discussed in [1]. Furthermore, trajectory data can be used to assess the trustworthiness of UGC, as discussed in [2]: a negative review of a restaurant that the user visited in the past week can probably be trusted more than a negative review of a person who works at a nearby competitor. Before we can perform such an analysis, we need to know which places were visited.…”
Section: Introductionmentioning
confidence: 99%
“…To collect validation data, we set up an experiment similar to the one we described in [26]. During the welcome week of the University of Twente, called the Kick-In, the new students were invited to participate in a treasure hunt-like game that lasted four hours.…”
Section: Data Collectionmentioning
confidence: 99%