A Survey of Map-based Mobile Guides

Baus, Jürg; Cheverst, Keith; Kray, Christian

doi:10.1007/3-540-26982-7_13

Cited by 81 publications

(58 citation statements)

References 16 publications

(7 reference statements)

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“…There have been several research works focusing on map-based mobile services (Meng et al, 2008), mapbased mobile travel guides (Baus et al, 2005), recommender systems (Adomavicius & Tuzhilin, 2005;Burke, 2007), and travel RSs (Ricci, 2002;Fesenmaier et al, 2006). In this section, we first discuss traditional recommendation techniques, and then we focus on related works that aim to integrate mobile computing, map visualization and recommendation technologies in providing personalized travel products and services to tourists.…”

Section: Related Workmentioning

confidence: 99%

Exploiting a Map-Based Interface in Conversational Recommender Systems for Mobile Travelers

Ricci

Nguyen

Averjanova³

2010

Tourism Informatics

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Nowadays travel and tourism Web sites store and offer a large volume of travel related information and services. Furthermore, this huge amount of information can be easily accessed using mobile devices, such as a phone with mobile Internet connection capability. However, this information can easily overwhelm a user because of the large number of information items to be shown and the limited screen size in the mobile device. Recommender systems (RSs) are often used in conjunction with Web tools to effectively help users in accessing this overwhelming amount of information. These recommender systems can support the user in making a decision even when specific knowledge necessary to autonomously evaluate the offerings is not available. Recommender systems cope with the information overload problem by providing a user with personalized recommendations (i.e., a well chosen selection of the items contained in the repository), adapting this selection to the user's needs and preferences in a particular usage context. In this chapter, the authors present a recommendation approach integrating a conversational preference acquisition technology based on "critiquing" with map visualization technologies to build a new mapbased conversational mobile RS that can effectively and intuitively support travelers in finding their desired products and services. The results of the authors' real-user study show that integrating map-based visualization and critiquing-based interaction in mobile RSs improves the system's recommendation effectiveness, and increases the user satisfaction.

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Section: Related Workmentioning

confidence: 99%

Exploiting a Map-Based Interface in Conversational Recommender Systems for Mobile Travelers

Ricci

Nguyen

Averjanova³

2010

Tourism Informatics

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“…Now, the field has advanced and context modelling has emerged as a major direction in context-aware research. The past few years have also shown an increasing effort to apply context in other research fields such as information retrieval [Cool andSpink, 2002, Ingwersen et al, 2005], geographic information systems [Baus et al, 2005] Personalisation is applied in all these areas but hardly addressed with the same far-reaching scope. This thesis reviews Kobsa's and Brusilovsky's framework on personalisation and contributes a multidisciplinary and integrative extension for this framework for the benefit of both researchers and practitioners.…”

Section: Jim Morrison the Doorsmentioning

confidence: 99%

Event and map content personalisation in a mobile and context-aware-environment

Bierig

2010

SIGIR Forum

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Effective methods for information access are of the greatest importance for our modern lives -- particularly with respect to handheld devices. Personalisation is one such method which models a user's characteristics to deliver content more focused to the user's needs. The emerging area of sophisticated mobile computing devices has started to inspire new forms of personalised systems that include aspects of the person's contextual environment. This thesis seeks to understand the role of personalisation and context, to evaluate the effectiveness of context for content personalisation and to investigate the event and map content domain for mobile usage. The work presented in this thesis has three parts. The first part is a user experiment on context that investigated the contextual attributes of time, location and interest, with respect to participants' perception of their usefulness. Results show highly dynamic and interconnected effects of context on participants' usefulness ratings. In the second part , these results were applied to create a predictive model of context that was related to attribution theory and then combined with an information retrieval score to create a weighted personalisation model. In the third part of this work, the personalisation model was applied in a mobile experiment. Participants solved situational search tasks using a (i) non-personalized and a (ii) personalized mobile information system, and rating entertainment events based on usefulness. Results showed that the personalised system delivered about 20% more useful content to the mobile user than the non-personalised system, with some indication for reduced search effort in terms of time and the amount of queries per task. The work presented provides evidence for the promising potential of context to facilitate personalised information delivery to users of mobile devices. Overall, it serves as an example of an investigation into the effectiveness of context from multiple angles and provides a potential link to some of the aspects of psychology as a potential source for a deeper understanding of contextual processes in humans.

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“…Previous work on mobile guides both in academia and for commercial applications (see [2] for a survey) mainly focusses on systems supporting pedestrians in urban environments. Frequently, these systems relies on the use of landmarks for navigation support.…”

Section: Related Workmentioning

confidence: 99%

Exploring the use of landmarks for mobile navigation support in natural environments

Snowdon

Kray

2009

Proceedings of the 11th International Conference on Human-Computer Interaction With Mobile Devices and Services

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Landmarks are a key element in navigation and have been used extensively to provide navigation support to pedestrians through mobile devices in urban areas. Natural environments differ significantly from built environments in a number of ways including, for example, the degree of structure and regularity, the types and density of landmarks, and the way in which people navigate in those environments. In this paper, we investigate how people currently navigate 'in the wild', and whether landmark-based navigation support through mobile devices is a feasible option in such settings. We present results from two studies: a questionnaire-based study focussing on current practice and the use of landmarks, and a qualitative lab-based study using immersive panoramic photographs and photographs of (natural) landmarks investigating the feasibility of landmark-based navigation support in natural environments. The results indicate that a small number of means are currently used for navigation in the wild, and that certain types of landmarks might be feasible for navigation support on mobile devices. We also found initial evidence that immersive panoramic photographs may constitute a promising way to evaluate mobile applications.

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A Survey of Map-based Mobile Guides

Cited by 81 publications

References 16 publications

Exploiting a Map-Based Interface in Conversational Recommender Systems for Mobile Travelers

Exploiting a Map-Based Interface in Conversational Recommender Systems for Mobile Travelers

Event and map content personalisation in a mobile and context-aware-environment

Exploring the use of landmarks for mobile navigation support in natural environments

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