“…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.…”
This position paper aims to encourage researchers in the field of context-aware public transport information systems to incorporate human-centred approaches more deeply into their methodologies. Current context-aware systems in this domain often take a representational view and employ a data-first approach. Drawing on insights from previous work, we propose a distinction between the objective context and the experienced context. The experienced context incorporates interactions and perceptions to reflect better how we, as humans, experience the world. To measure this experienced context, we advocate for using qualitative research methods for HCI. To demonstrate this approach, we present the results of a focus group study on context in public transport. The results reveal that emerging experiences are shaped by a combination of various factors. These findings highlight the importance of incorporating user perspectives in designing context-aware systems. Therefore, in this paper, we take the position that if we want to improve the context-aware public transport information systems, we need to understand what travellers truly experience during their journey.
CCS CONCEPTS• Human-centered computing → User studies; HCI theory, concepts and models.
“…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.…”
This position paper aims to encourage researchers in the field of context-aware public transport information systems to incorporate human-centred approaches more deeply into their methodologies. Current context-aware systems in this domain often take a representational view and employ a data-first approach. Drawing on insights from previous work, we propose a distinction between the objective context and the experienced context. The experienced context incorporates interactions and perceptions to reflect better how we, as humans, experience the world. To measure this experienced context, we advocate for using qualitative research methods for HCI. To demonstrate this approach, we present the results of a focus group study on context in public transport. The results reveal that emerging experiences are shaped by a combination of various factors. These findings highlight the importance of incorporating user perspectives in designing context-aware systems. Therefore, in this paper, we take the position that if we want to improve the context-aware public transport information systems, we need to understand what travellers truly experience during their journey.
CCS CONCEPTS• Human-centered computing → User studies; HCI theory, concepts and models.
“…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].…”
Using a mobile application that is featured with local public transit information can greatly improve user action, as well as assisting travelers to have a better experience while taking public transit services. Crowd environment inside a public transit is one of the most frequent causes that lead difficulties to passengers when they engaging their mobile devices to access their apps or in some conditions. Finding crucial information such as stops points and remaining time to interchanges point when switching to another line becomes more difficult in those conditions especially for foreigners who new in a particular region. This study presents the combination of a mental model and a usability approach to construct a user journey map that led to new insights on user's experiences and challenges when utilizing their mobile local transit application. This valuable information is a part of the elicitation process to propose an alternative interaction method to enhance the usability and travel experience of the public transit app. The experimental results indicate that in contrast to the existing mobile transit app, the proposed interface with the utilization of a wearable device could considerably enhance user action when trying to reach the desired location in terms of total time and performance. It implies that the proposed solution, which works through the mental model and user journey is able to intuitively enhance the public transit app usability.
“…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]).…”
The paper proposes a dynamic adaptive framework that responds to the needs of context-aware services provided by the intelligent transport systems. The executive core of this framework is a software architecture model that ensures the running of an application which is adaptable to context changes. The solution was tested on a case study that highlights provided contextual information through an inter-vehicle communication system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.