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Identifying User Tasks in Map Based-Pedestrian Navigation from Eye Tracking Data
(2018)Adjunct Proceedings of the 14th International Conference on Location Based ServicesEye movement data convey a wealth of information that can be used to inspect human behavior and cognitive processes. In this study, we explored to identify user tasks in map-based pedestrian navigation using eye movement data. We collected 44 participants’ eye movement data by conducting an eye tracking experiment in real-world environments. We trained and cross-validated a Random Forests classifier to classify 7 common user tasks using ...Conference Paper -
Integrating Existing Indoor Navigational Aids into Data Modelling and Route Planning
(2018)Adjunct Proceedings of the 14th International Conference on Location Based ServicesIn this paper, we propose a concept of providing indoor navigation services by integrating existing navigational aids. We firstly conducted an in-situ experiment in two buildings with human subjects performing wayfinding tasks. The results suggested that people naturally refer to existing indoor navigational aids during navigating and signs were the most frequently used aids. We then integrated signs with their semantics into a graph-based ...Conference Paper -
Extraction and Visual Analysis of Negative Traffic Events from Weibo Data
(2018)Adjunct Proceedings of the 14th International Conference on Location Based ServicesSocial media has an increasingly significant importance in people’s daily life during past few years. Social media data has been widely studied in a variety of disciplines for different applications, e.g., crisis management and urban planning. In this work, we focus on the extraction and analysis of traffic related events, especially negative traffic events(NTE), e.g. congestion, car accidents, from social media data. Firstly, we identify ...Conference Paper