scholarly journals Api-tourism: transforming Slovenia’s apicultural traditions into a unique travel experience

2015 ◽  
Author(s):  
I. Kline Arih
Keyword(s):  
Travel Experience

Digital pattern of life based tourist behaviour analysis system

2020 ◽  
Vol 5 ◽  
pp. 78-83
Author(s):  
S.A. Mikhailov ◽  
Keyword(s):  
Neural Networks ◽  
Tourism Industry ◽  
Data Sources ◽  
Tourist Behavior ◽  
Behaviour Analysis ◽  
Travel Experience ◽  
Digital Pattern ◽  
Analysis System ◽  
Tourist Behaviour ◽  
Tourism Services

The tourism industry has grown rapidly in recent years, and IT technology is also having a big impact on tourists. Tourism services, information generated by tourists and other sources can be used to build models of tourist behavior. These models can improve the travel experience in various ways. The author presents the system for analyzing tourist behavior based on the concept of a digital pattern of life. The system determines the tourist, possible data sources, ways of storing and presenting data, as well as tools for analyzing behavior. The author used artifi cial neural networks to analyze behavior from a dataset of tourist travels made with cars. One scenario of tourist behavior using artifi cial neural networks is presented. The collected results will be used for improving tourist services.

scholarly journals A Study on the Development of Tourist Support System Using ICT and Psychological Effects

2020 ◽  
Vol 10 (24) ◽  
pp. 8930
Author(s):  
Akira Sasaki ◽  
Fu Xiang ◽  
Rina Hayashi ◽  
Yuko Hiramatsu ◽  
Kazutaka Ueda ◽  
...  
Keyword(s):  
Prospect Theory ◽  
Mobile Phones ◽  
Psychological Effects ◽  
Low Energy ◽  
Historic Buildings ◽  
Personal Interest ◽  
World Heritage Sites ◽  
Heritage Sites ◽  
Travel Experience ◽  
And Behavior

We have been studying a sightseeing support application using Bluetooth Low Energy (BLE) beacons and mobile phones since 2014 to support sightseeing in Nikko, one of Japan’s World Heritage sites. Travelers can receive information relating to their position by using this application. We tried to use some psychological effects to increase travelers’ satisfaction when they receive such information. Moreover, we tried to emphasize travel memories of the place (scenery, culture, food, etc.) to encourage them to revisit or inspire their friends to visit it. Our tests prove the usefulness of our sightseeing support application for enhancing the travel experience. However, we had not yet developed a function to provide information that met the travelers’ intentions or needs. Moreover, it is hazardous to use a smartphone during walking, especially in an unfamiliar place. If a traveler uses a smartphone during walking, they might miss the beautiful scenery, historic buildings, and exotic atmosphere. We tried to adapt our sightseeing support application for use with a wearable device (smartwatch) to avoid using a smartphone during walking and introduced a prospect theory to evaluate information according to personal interest and behavior. Our experiments proved that our application provided the most appropriate sightseeing information to travelers and prevented danger during walking.

scholarly journals Mobile Tour Planning Using Landmark Photo Matching and Intelligent Character Recognition

2012 ◽  
Vol 182-183 ◽  
pp. 854-859 ◽  
Author(s):  
Cheng Ming Huang ◽  
Wen Hung Liao ◽  
Sheng Chih Chen
Keyword(s):  
Mobile Application ◽  
Character Recognition ◽  
Location Based Services ◽  
Smart Phones ◽  
Location Based Service ◽  
Voice Communication ◽  
Tourist Destinations ◽  
Travel Experience ◽  
Intelligent Character Recognition ◽  
Tourist Information

The functionalities of smart phones have extended from basic voice communication to gaming, multimedia entertainment, information retrieval and location-based services. In this paper, we attempt to design a mobile application to assist visitors to have better understandings of popular tourist destinations and related routing information while on tour. The users can obtain descriptions of a specific attraction by simply taking the picture of a landmark photo often shown in the travel booklet using their mobile devices. This is achieved by matching the landmark picture with an image database containing popular tourist spots to locate the interested destination. The location information is further confirmed using techniques in intelligent character recognition. Upon successful identification of the interested location, tourist information regarding this destination, along with the routing details will be delivered using location-based service. We anticipate the proposed mobile application to effectively assist foreign visitors by bringing comprehensive, up-to-date tourist information and promoting better travel experience.

The role of travel experience and gender on travel information source selection

2017 ◽  
Vol 8 (2) ◽  
pp. 296-310 ◽  
Author(s):  
Bahar Yasin ◽  
Fakhri Baghirov ◽  
Ye Zhang
Keyword(s):  
Information Sources ◽  
Information Source ◽  
Distribution Area ◽  
External Information ◽  
Content Type ◽  
Travel Information ◽  
Travel Agents ◽  
Travel Experience ◽  
Internal Information ◽  
And Gender

Purpose This paper aims to identify the most popular travel information sources used among tourists and investigates how travel information selection differs across travel experience and gender. Design/methodology/approach This study used convenient and quota sampling strategy, questionnaires were distributed to 270 respondents at Sultanahmet and Grand Bazaar areas. A screening question was used to classify respondents. Findings First, past travel experience, travel agent, travel websites and hotel websites are generally the most frequently used travel information sources in destination selection due to conveniences and reliability. Second, first-timers prefer to use external information sources such as Facebook, guidebooks, travel agents and newspapers to gather information about destinations, whereas repeat visitors prefer to use internal information sources such as friends’ suggestions and past travel experience. Lastly, female visitors rely more on internal information sources such as friends’ suggestions and past travel experience. However, males prefer to use external information sources like Facebook, television, blog, travel agents, newspaper and guidebooks in choosing Turkey as a destination. Research limitations/implications Because factors studied, travel information sources selected, number of respondents and questionnaire distribution area are limited, future studies can expand to a bigger area so more respondents could get more reliable results. Practical implications This paper could help tourism industries understand searching behaviours among different types of tourists better to promote businesses in convenient sources and reach target customers easily. Originality/value This paper fulfils an identified need to study how travel information searching behaviours differ among tourists.

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