Combining Intelligent Recommendation and Mixed Reality in Itineraries for Urban Exploration

Giulio Jacucci, Salvatore Andolina, Denis Kalkhofen, Dieter Schmalstieg, Antti Nurminen, Anna Spagnolli, Luciano Gamberini, Tuukka Ruotsalo

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

Exploration of points of interest (POI) in urban environments  is challenging for the large amount of items near or reachable by the user and for the modality hindrances due to reduced manual flexibility and competing visual attention. We propose to combine different modalities, VR, AR, haptics-audio interfaces, with intelligent recommendation based on a computational method combining different data graph overlays: social, personal and search-time user input. We integrate such features in flexible itineraries that aid different phases and aspects of exploration.
Originalspråkengelska
TidskriftInternational Series on Information Systems and Management in Creative eMedia
Volym2017
Utgåva2
Sidor (från-till)18-23
Antal sidor6
ISSN2341-5584
StatusPublicerad - 2017
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap

Citera det här

Jacucci, Giulio ; Andolina, Salvatore ; Kalkhofen, Denis ; Schmalstieg, Dieter ; Nurminen, Antti ; Spagnolli, Anna ; Gamberini, Luciano ; Ruotsalo, Tuukka. / Combining Intelligent Recommendation and Mixed Reality in Itineraries for Urban Exploration. I: International Series on Information Systems and Management in Creative eMedia. 2017 ; Vol. 2017, Nr. 2. s. 18-23.
@article{2eacf7180d7346eab8e7dff02420f676,
title = "Combining Intelligent Recommendation and Mixed Reality in Itineraries for Urban Exploration",
abstract = "Exploration of points of interest (POI) in urban environments  is challenging for the large amount of items near or reachable by the user and for the modality hindrances due to reduced manual flexibility and competing visual attention. We propose to combine different modalities, VR, AR, haptics-audio interfaces, with intelligent recommendation based on a computational method combining different data graph overlays: social, personal and search-time user input. We integrate such features in flexible itineraries that aid different phases and aspects of exploration.",
keywords = "113 Computer and information sciences",
author = "Giulio Jacucci and Salvatore Andolina and Denis Kalkhofen and Dieter Schmalstieg and Antti Nurminen and Anna Spagnolli and Luciano Gamberini and Tuukka Ruotsalo",
year = "2017",
language = "English",
volume = "2017",
pages = "18--23",
journal = "International Series on Information Systems and Management in Creative eMedia",
issn = "2341-5584",
publisher = "Lugymedia",
number = "2",

}

Combining Intelligent Recommendation and Mixed Reality in Itineraries for Urban Exploration. / Jacucci, Giulio; Andolina, Salvatore; Kalkhofen, Denis; Schmalstieg, Dieter; Nurminen, Antti; Spagnolli, Anna; Gamberini, Luciano; Ruotsalo, Tuukka.

I: International Series on Information Systems and Management in Creative eMedia, Vol. 2017, Nr. 2, 2017, s. 18-23.

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

TY - JOUR

T1 - Combining Intelligent Recommendation and Mixed Reality in Itineraries for Urban Exploration

AU - Jacucci, Giulio

AU - Andolina, Salvatore

AU - Kalkhofen, Denis

AU - Schmalstieg, Dieter

AU - Nurminen, Antti

AU - Spagnolli, Anna

AU - Gamberini, Luciano

AU - Ruotsalo, Tuukka

PY - 2017

Y1 - 2017

N2 - Exploration of points of interest (POI) in urban environments  is challenging for the large amount of items near or reachable by the user and for the modality hindrances due to reduced manual flexibility and competing visual attention. We propose to combine different modalities, VR, AR, haptics-audio interfaces, with intelligent recommendation based on a computational method combining different data graph overlays: social, personal and search-time user input. We integrate such features in flexible itineraries that aid different phases and aspects of exploration.

AB - Exploration of points of interest (POI) in urban environments  is challenging for the large amount of items near or reachable by the user and for the modality hindrances due to reduced manual flexibility and competing visual attention. We propose to combine different modalities, VR, AR, haptics-audio interfaces, with intelligent recommendation based on a computational method combining different data graph overlays: social, personal and search-time user input. We integrate such features in flexible itineraries that aid different phases and aspects of exploration.

KW - 113 Computer and information sciences

M3 - Article

VL - 2017

SP - 18

EP - 23

JO - International Series on Information Systems and Management in Creative eMedia

JF - International Series on Information Systems and Management in Creative eMedia

SN - 2341-5584

IS - 2

ER -