Developing a context-aware electronic tourist guide: some issues and experiences
By Keith W. Cheverst, Nigel Davies, Keith Mitchell, Adrian Friday, Christos Efstratiou. International Conference on Human Factors in Computing Systems, 2000
1,243 citations recorded by the source corpus.
In this paper, we describe our experiences of developing and evaluating GUIDE, an intelligent electronic tourist guide. The GUIDE system has been built to overcome many of the limitations of the traditional information and navigation tools available to city visitors. For example, group-based tours are inherently inflexible with fixed starting times and fixed durations and (like most guidebooks) are constrained by the need to satisfy the interests of the majority rather than the specific interests of individuals. Following a period of requirements capture, involving experts in the field of tourism, we developed and installed a system for use by visitors to Lancaster. The system combines mobile computing technologies with a wireless infrastructure to present city visitors with information tailored to both their personal and environmental contexts. In this paper we present an evaluation of GUIDE, focusing on the quality of the visitor's experience when using the system.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems
View Paper: https://www.semanticscholar.org/paper/112c442d5e05dca4a274ab6c2c223f6b8d16d045
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Alexander Tuzhilin
- Ronny Lempel
- Nadav Golbandi
- Sihem Amer-Yahia
- Nigel Davies
- Hui Xiong
- Florian Rosenberg
- Schahram Dustdar
In Computer Vision and Pattern Recognition
- Alexander Tuzhilin
- Damianos Gavalas
- Grammati E. Pantziou
- Charalampos Konstantopoulos
- Konstantinos Mastakas
- Cong Yu
- Sihem Amer-Yahia
- Hui Xiong
In Information Systems
- Alexander Tuzhilin
- Eija Kaasinen
- Damianos Gavalas
- Grammati E. Pantziou
- Charalampos Konstantopoulos
- Konstantinos Mastakas
- Cong Yu
- Sihem Amer-Yahia
Citations in the corpus
- A survey on context-aware systems (2007, background): “In the middle of the 1990s, a couple of location-aware tour guides (Abowd et al., 1997; Sumi et al., 1998; Cheverst et al., 2000) emerged which provided information according to the user’s current location.”
- Mobile recommender systems in tourism (2014, background): “As regards the type of informative content, this varies from text and images (e.g. [23]) to sound/video (e.g. [43]), 2D maps (e.g. [6],[86]) 3D maps (e.g. [57]), VRML models [49] and augmented reality views (e.g. [55]).”
- User needs for location-aware mobile services (2003, background): “[6] point out the need to be able to use the mobile system both on and off line.”
- Recommender Systems (2016, neutral): “Numerous tourist guide applications, such as INTRIGUE [52], GUIDE [156], MyMap [177], SPETA [213], MobiDENK [318], COMPASS [611], Archeoguide [618], and LISTEN [685], have been proposed in the literature.”
- Can you see me now? (2006, methodology): “One of the earliest location-based applications, the Lancaster GUIDE, made information about current connectivity and location accuracy available to users [Cheverst et al. 2000].”
- GeoNotes: Social and Navigational Aspects of Location-Based Information Systems (2001, background): “For instance, with few exceptions, the information in those systems has been created by professional content providers, such as art institutions, museums, tourist organizations, and business interests [8, 3, 1, 16, 20].”
- Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, neutral): “Thetaskcouldalsorefertothemainapplicationrequiringinfor-mationlikeinlocation-awareIRinmobilecontextssuchastouristguide[20]orGPS transport.”
- Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain (2014, background): “Smartphones are, therefore, an inevitable partner for tourism, and the tourism context has become a fertile ground for mobile computing (Cheverst, Davies, Mitchell, Friday, & Efstratiou, 2000 ).”
- Automatic construction of travel itineraries using social breadcrumbs (2010, background): “An early work [7] developed a “tourist guide” system that used mobile computing technology on wireless infrastructure to present tourists with tour-related information that could be tuned to fit multitude of circumstantial contexts.”
- Tourism and Mobile Technology (2003, background): “Tourism has been a popular area for mobile information systems, in particular the Lancaster GUIDE system (Cheverst et al., 2000), and other PDA based systems (Abowd et al., 1997; Fesenmaier et al., 2000; Woodruff et al., 2001).”
- An energy-efficient mobile recommender system (2010, background): “Recommender systems in the mobile environments have been studied before [2, 5, 6, 7, 14, 20, 21].”
- What we talk about when we talk about context (2004, background): “A second, more common approach is to use context dynamically to tailor the behaviour of the system or its response to patterns of use.”
- A resource-adaptive mobile navigation system (2002, background): “The GUIDE-system is a location aware multimedia tourist guide for the City of Lancaster [3].”
- Experiences of developing and deploying a context-aware tourist guide: the GUIDE project (2000, methodology): “A more detailed discussion of the evaluation and its results can be found in [3].”