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2019
DOI: 10.1007/978-3-030-22666-4_36
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Investigating Users’ Responses to Context-Aware Presentations on Large Displays in Public Transport

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Cited by 3 publications
(3 citation statements)
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“…Seeing the importance of context, several examples of PTIS exist that aim to adapt to a travellers' context [e.g., 2,8,10,14,17,18,23,24,[26][27][28]. Some research focuses on individual context factors such as weather or crowdedness, aiming to create systems that adapt to these context factors and provide information accordingly.…”
Section: Related Workmentioning
confidence: 99%
“…Seeing the importance of context, several examples of PTIS exist that aim to adapt to a travellers' context [e.g., 2,8,10,14,17,18,23,24,[26][27][28]. Some research focuses on individual context factors such as weather or crowdedness, aiming to create systems that adapt to these context factors and provide information accordingly.…”
Section: Related Workmentioning
confidence: 99%
“…Lastly, the navigation guiding phase in which a travel plan is arranged and actions are carried out as confirmed in the itinerary. This three steps scenario is still widely used and becomes the mental model in public transit app practice [17][18][19].…”
Section: Constructing Mental Modelsmentioning
confidence: 99%
“…C) Recent challenges and advanced engineering techniques for CAS Of course, in this category we find most works on ITS, but we must mention that in most of them only a very precise objective is pursued, lacking that overview that would allow the reconfiguration of the application for other purposes, as keeping the limits of modesty we try to propose in this paper. We will mention some titles of works whose achievements are closest to the objectives we set ourselves: the impact of digitalization in monitoring road transport and in evaluating the behavior of drivers ( [11], [12]); improving the methods of monitoring and displaying information in urban public transport systems ( [13], [14]); integration of CAS in computer structures based on the Internet of Things ( [15], [16], [17]).…”
Section: Related Workmentioning
confidence: 99%