Enhancing and evaluating users’ social experience with a mobile phone guide applied to cultural heritage

Suh, Youngjung; Shin, Choonsung; Woo, Woontack; Dow, Steven P.; MacIntyre, Blair

doi:10.1007/s00779-010-0344-2

Cited by 35 publications

(11 citation statements)

References 23 publications

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“…Also, mobile phones have been experimentally deployed as a tour guide system. Visitors who used a mobile guide to visit cultural heritage in South Korea reported satisfaction on historic-spatial awareness, personalization, and shared group experiences (Suh et al, 2011). Further, taking advantage of mobile phones' mobility and multimedia capabilities, Ancona et al (2006) developed a mobile application to provide seamless tour guide-like experience to visitors of archaeological sites in Italy and Greece.…”

Section: Introductionmentioning

confidence: 99%

Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos

Poong¹,

Yamaguchi²,

Takada

2016

Information Development

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This study is motivated by the initiative to implement mobile learning to promote world heritage site awareness among young adults living in the world heritage town of Luang Prabang in the Lao People's Democratic Republic (PDR). Mobile learning is still in its infant stage in Laos. The objective of this study is to investigate the drivers of mobile learning acceptance among young adults in Luang Prabang. Structural equation modeling analysis based on 349 students of higher education indicates that perceived usefulness, perceived ease of use, and perceived enjoyment directly affected their behavioral intention to use mobile learning. Social influence and self-efficacy indirectly affected mobile learning acceptance through perceived usefulness and perceived ease of use respectively. Findings from this study yield insights for policy recommendations for mobile learning implementation in Luang Prabang, and also contribute to the understanding of mobile learning acceptance from the perspectives of a least developed country.

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Section: Introductionmentioning

confidence: 99%

Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos

Poong¹,

Yamaguchi²,

Takada

2016

Information Development

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“…Through postprocessing, the raw GPS can be turned into a more usable form, such as routable road map [3]. Regarding travel and tourism applications, GPS data have been used to find locations of interest [2], integrated into a mobile tour guide [19,20,22], and combined with other resources such as geo-tagged photographs [21]. In GeoLife [29,32,36], many GPS-related applications and scenarios are introduced.…”

Section: Itinerary Recommendationmentioning

confidence: 99%

Social itinerary recommendation from user-generated digital trails

Yoon

Zheng

Xie

et al. 2011

Pers Ubiquit Comput

Self Cite

107

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Planning travel to unfamiliar regions is a difficult task for novice travelers. The burden can be eased if the resident of the area offers to help. In this paper, we propose a social itinerary recommendation by learning from multiple user-generated digital trails, such as GPS trajectories of residents and travel experts. In order to recommend satisfying itinerary to users, we present an itinerary model in terms of attributes extracted from usergenerated GPS trajectories. On top of this itinerary model, we present a social itinerary recommendation framework to find and rank itinerary candidates. We evaluated the efficiency of our recommendation method against baseline algorithms with a large set of user-generated GPS trajectories collected from Beijing, China. First, systematically generated user queries are used to compare the recommendation performance in the algorithmic level. Second, a user study involving current residents of Beijing is conducted to compare user perception and satisfaction on the recommended itinerary. Third, we compare mobile-only approach with Mobile?Cloud architecture for practical mobile recommender deployment. Lastly, we discuss personalization and adaptation factors in social itinerary recommendation throughout the paper.

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“…The authors used the user s physical location that is determined by the GPS receiver to retrieve historical information about the surrounding environment. Suh, Shin, Woo, Dow and MacIntyre [15] proposed a system to track visitors routs and enable them to share their experiences as a group while they are on a trip.…”

Section: Related Workmentioning

confidence: 99%

Guidelines for designing a smart and ubiquitous learning environment with respect to cultural heritage

Alkhafaji

Cocea

Crellin

et al. 2017

2017 11th International Conference on Research Challenges in Information Science (RCIS)

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This paper introduces a list of guidelines for designing mobile location-based learning services with respect to cultural heritage sites. This list was set out based on the results of a userstudy in the field. The user study was carried out with adult endusers to evaluate a prototype mobile application that delivered information through mobile phones and smart eye glasses simultaneously regarding cultural heritage sites based on location. Augmented reality and location-based services are utilised in this app.

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Enhancing and evaluating users’ social experience with a mobile phone guide applied to cultural heritage

Cited by 35 publications

References 23 publications

Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos

Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos

Social itinerary recommendation from user-generated digital trails

Guidelines for designing a smart and ubiquitous learning environment with respect to cultural heritage

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