Tsvi Kuflik
University of Haifa
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Publication
Featured researches published by Tsvi Kuflik.
conference on recommender systems | 2016
Julia Neidhardt; Daniel R. Fesenmaier; Tsvi Kuflik; Wolfgang Wörndl
In this paper, we summarize RecTour 2016 -- a workshop on recommenders in tourism co-located with RecSys 2016. There was a great variety of submissions, i.e., research papers, demo papers and position papers, addressing fundamental challenges of recommender systems in the tourism domain. The main topics included group recommendations, context-aware recommenders, choice-based recommenders and event recommendations.
Future Generation Computer Systems | 2018
Moayad Mokatren; Tsvi Kuflik; Ilan Shimshoni
Abstract Current technology offers a variety of ways for context-aware information delivery to mobile users. The most challenging aspect, however, is to determine what the user is interested in. The user’s position is the best available hint, but if we know what the user is looking at and what his or her gazing profile is, we can narrow down the possibly relevant objects of interest. With the advent of mobile and ubiquitous computing, it is time to explore the potential of mobile eye tracking technology for natural, intelligent interactions between users and their smart environment, not only for specific tasks, but also for the more ambitious goal of integrating eye tracking into the process of inferring mobile users’ interests, for the purpose of providing them with relevant services, a research area that has received little attention so far. In this work, we examine the potential of integrating a mobile eye tracker, as a natural interaction device, into an audio guide system for museum visitors. Using it as a pointing device enables the system to reason unobtrusively about the user’s focus of attention and to deliver relevant information about it as needed. To realize this goal, we integrated an image-matching based technique for indoor positioning and an eye-gaze detection technique to identify the user’s focus of attention into two different versions of a mobile audio guide: (1) a proactive version that delivers information automatically whenever user interest is detected, and (2) a reactive version that notifies the user about the availability of this information, thus giving the user more control over information delivery. Furthermore, we developed a conventional museum visitors’ mobile guide system using a smartphone and low-energy Bluetooth beacons for positioning; this guide was used as a reference system. The three museum visitors’ guides were evaluated in realistic settings at the Hecht 1 Museum, a small museum, located at the University of Haifa that has both archeological and art collections. The experimental evaluation compared the contribution of the three versions of the audio guide to the visit experience. The results showed that the mobile eye tracking technology, although unfamiliar, and perhaps even immature, was accepted by the participants. The mobile eye tracker audio guide was perceived as preferable to the conventional museum mobile guide, especially with regard to learning during the visit. Furthermore, with regard to proactivity in context-aware systems, the results showed that the participants like to be in control, and that most of them preferred the reactive version of the mobile eye tracker audio guide over the proactive one.
conference on recommender systems | 2018
Julia Neidhardt; Wolfgang Wörndl; Tsvi Kuflik; Markus Zanker
The Workshop on Recommenders in Tourism (RecTour) 2018, which is held in conjunction with the 12th ACM Conference on Recommender Systems (RecSys), addresses specific challenges for recommender systems within the tourism domain. In this paper, we summarize our motivations to organize this workshop and give an overview of the submissions that we received. The topics of this years workshop include points-of-interest (POI), hotel and airline recommendations, recommending composite items such as POI sequences, group recommender systems, context-aware recommendation, decision making, user interaction issues, explanations and evaluation of tourism recommenders.
Archive | 2007
Shlomo Berkovsky; Lora Aroyo; Dominik Heckmann; Geert-Jan Houben; Alexander Kröner; Tsvi Kuflik; Francesco Ricci
International Journal of Human-computer Studies \/ International Journal of Man-machine Studies | 2018
Berardina De Carolis; Cristina Gena; Tsvi Kuflik; Joel Lanir
conference on recommender systems | 2017
Veronika Bogina; Tsvi Kuflik
Archive | 2013
Eyal Dim; Tsvi Kuflik
Information Technology & Tourism | 2018
Julia Neidhardt; Tsvi Kuflik; Wolfgang Wörndl
international conference on user modeling adaptation and personalization | 2017
Liliana Ardissono; Cristina Gena; Tsvi Kuflik
EuroVis (Short Papers) | 2017
Julia Sheidin; Joel Lanir; Peter Bak; Tsvi Kuflik
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Commonwealth Scientific and Industrial Research Organisation
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