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Developing a context-aware electronic tourist guide: some issues and experiences

Published: 01 April 2000 Publication History

Abstract

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.

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cover image ACM Conferences
CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
April 2000
587 pages
ISBN:1581132166
DOI:10.1145/332040
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 April 2000

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Author Tags

  1. adaptive hypermedia
  2. context-awareness
  3. evaluation
  4. mobile computing
  5. user interface design

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CHI00
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CHI00: Human Factors in Computing Systems
April 1 - 6, 2000
The Hague, The Netherlands

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CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2024)A Survey on Domain of Application of Recommender SystemHow Machine Learning is Innovating Today's World10.1002/9781394214167.ch23(375-382)Online publication date: 16-Jun-2024
  • (2022)Situational Recommender: Are You On the Spot, Refining Plans, or Just Bored?Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501909(1-19)Online publication date: 29-Apr-2022
  • (2022)A Education Tracking Approach Using Maps and Geo-location Method2022 3rd International Conference on Intelligent Engineering and Management (ICIEM)10.1109/ICIEM54221.2022.9853096(727-730)Online publication date: 27-Apr-2022
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