Improving Users’ Consistency When Recalling Location Sharing Preferences - Human-Computer Interaction – INTERACT 2011
Conference Papers Year : 2011

Improving Users’ Consistency When Recalling Location Sharing Preferences

Jayant Venkatanathan
  • Function : Author
  • PersonId : 1016809
Denzil Ferreira
  • Function : Author
  • PersonId : 1016810
Michael Benisch
  • Function : Author
  • PersonId : 1016811
Jialiu Lin
  • Function : Author
  • PersonId : 1016812
Evangelos Karapanos
  • Function : Author
  • PersonId : 1016813
Vassilis Kostakos
  • Function : Author
  • PersonId : 1016814
Norman Sadeh
  • Function : Author
  • PersonId : 1016815
Eran Toch
  • Function : Author
  • PersonId : 1016816

Abstract

This paper presents a study of the effect of one instance of contextual cues, trajectory reminders, on the recollection of location sharing preferences elicited using a retrospective protocol. Trajectory reminders are user interface elements that indicate for a particular location of a person’s trail across a city the locations visited before and after. The results of the study show that reminding users where they have been before and after a specific visited location can elicit more consistent responses in terms of stated location sharing preferences for that location visit. This paper argues that trajectory reminders are useful when collecting preference data with retrospective protocols because they can improve the quality of the collected data.
Fichier principal
Vignette du fichier
978-3-642-23774-4_31_Chapter.pdf (244.75 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01590540 , version 1 (19-09-2017)

Licence

Identifiers

Cite

Jayant Venkatanathan, Denzil Ferreira, Michael Benisch, Jialiu Lin, Evangelos Karapanos, et al.. Improving Users’ Consistency When Recalling Location Sharing Preferences. 13th International Conference on Human-Computer Interaction (INTERACT), Sep 2011, Lisbon, Portugal. pp.380-387, ⟨10.1007/978-3-642-23774-4_31⟩. ⟨hal-01590540⟩
175 View
64 Download

Altmetric

Share

More