A Revised Mobile KLM for Interaction with Multiple NFC-Tags - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

A Revised Mobile KLM for Interaction with Multiple NFC-Tags

Paul Holleis
  • Fonction : Auteur
  • PersonId : 1017959
Gregor Broll
  • Fonction : Auteur
  • PersonId : 1017961

Résumé

The Keystroke-Level Model (KLM) is a model for predicting the execution time of routine tasks. Initially, it had been devised for standard keyboard-desktop settings but an extension of this model for interactions with mobile phones has been described by Holleis et al. [10]. We propose a considerable update of this KLM focusing on NFC-based applications and interactions which are continuously gaining interest. Insufficiencies within the previous model regarding operators for Pointing, Mental Acts, and System Response Time are treated. We present the results of several studies conducted in order to update the values of these operators. A specific focus is put on the differences between static (NFC tags behind a printed poster or object) and dynamic interfaces (tagged displays or projections). Finally, we validate our results by modeling two applications with the former and the proposed model. The latter performed consistently better when compared with measurements from real user interaction data.
Fichier principal
Vignette du fichier
978-3-642-23768-3_18_Chapter.pdf (676.47 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01596959 , version 1 (28-09-2017)

Licence

Paternité

Identifiants

Citer

Paul Holleis, Maximilian Scherr, Gregor Broll. A Revised Mobile KLM for Interaction with Multiple NFC-Tags. 13th International Conference on Human-Computer Interaction (INTERACT), Sep 2011, Lisbon, Portugal. pp.204-221, ⟨10.1007/978-3-642-23768-3_18⟩. ⟨hal-01596959⟩
89 Consultations
144 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More