Last update: March 2020 (Please refer to CV for more details)
We are now living in a mobile information era, which is fundamentally changing science and society. My research tackles research questions that arise in the mobile information society from a geographic information science (GIScience) perspective. Specifically, we are mainly interested in
- the design of human-centered Location Based Services (LBS),
- the analysis of location based big data (Computational Mobility and Activity Analytics),
- and the behavioral and social implications of LBS.
1. Design of Human-Centered LBS
We are interested in studying how human-centred LBS (typically mobile applications on smartphones or wearable devices) can be developed to better support people’s daily decision-making and activities in space (e.g., navigation/wayfinding, city exploration, mobility, and social interaction).
1.1) Pedestrian Navigation (outdoor/indoor) We mainly focus on route planning (computing the most appropriate route from A to B) and route communication (conveying route information/directions effectively, e.g., with mobile maps, Augmented Reality, Verbal Instructions). Main publications:
- Fellner, I., Huang, H.*, Gartner, G. (2017): “Turn left after the WC, and use the Lift to go to the 2nd floor” - Generation of Landmark-based Route Instructions for Indoor Navigation. ISPRS International Journal of Geo-Information, 6(6), 183, doi:10.3390/ijgi6060183.
- Huang, H., Klettner, S., Schmidt, M., Gartner, G., Leitinger, S., Wagner, A., Steinmann, R. (2014): AffectRoute – Considering people’s affective responses to environments for enhancing route planning services. International Journal of Geographical Information Science, 28(12), pp. 2456-2473.
- Huang, H., Gartner, G. (2012): Collective Intelligence Based Route Recommendation for Assisting Pedestrian Wayfinding in the Era of Web 2.0. Journal of Location Based Services, 6(1), pp.1-22. [Full paper on Taylor & Francis]
- Gartner, G., Huang, H., Millonig, A., Schmidt, M., Ortag, F. (2011): Human-centred mobile pedestrian navigation system. MÖGG Mitteilungen der Österreichischen Geographischen Gesellschaft (Transactions of the Austrian Geographical Society), 153, pp. 237-250. [Full paper on MÖGG]
1.2) Context-awareness and Context-aware recommendation
Context-awareness plays a key role in LBS. We mainly focus on how to identify relevant context parameters, and how to provide context-awareness in LBS, especiall in mobile guides. Main publications:
- Griffin, A., White, T., Fish, C., Tomio, B., Huang, H., Robbi Sluter, C., Meza Bravo, J., Fabrikant, S., Bleisch, S., Yamada, M., Picanco, P. (2017): Designing Across Map Use Contexts: A Research Agenda. International Journal of Cartography, doi: 10.1080/23729333.2017.1315988.
- Huang, H., (2016): Context-Aware Location Recommendation Using Geotagged Photos in Social Media. ISPRS International Journal of Geo-Information, 5(11), 195, doi:10.3390/ijgi5110195.
- Huang, H., Gartner, G. (2014): Using trajectories for collaborative filtering based POI recommendation. International Journal of Data Mining, Modelling and Management, 6(4), pp. 333-346.
- Huang, H., Gartner, G. (2012): Using Context-aware Collaborative Filtering for POI Recommendation in Mobile Guides. In G. Gartner & F. Ortag, eds. Advances on Location Based Services. Lecture Notes in Geoinformation and Cartography. Springer Berlin Heidelberg, pp. 131-146.
- Huang, H., Gartner, G. (2009): Using Activity Theory to Identify Relevant Context Parameters. In G. Gartner & K. Rehrl, eds. Location Based Services and TeleCartography II. Lecture Notes in Geoinformation and Cartography. Springer Berlin Heidelberg, pp. 35-45.
2. Computational Mobility and Activitiy AnalyticsWe are interested in studying the use of LBS and location/activity-sensing technologies to study and model people’s perception of, experiences and behaviour in space (e.g., emotions towards environments, mobility within a city). We are especially interested in how people’s spatial behaviors are influenced by different context (e.g., weather, time, with whom). The aim is to create a “subjective” layer aggregating people’s subjective experiences in space, and overlay this layer on top of existing “objective” geospatial data. Mobile crowdsourcing and mining geotagged social media data are very promising for this purpose. The “subjective” layers can bring benefits not only to LBS/GIScience, but also to other disciplines (e.g., computer science, psychology, urban planning). Main publications:
- Huang, H., Gartner, G. (2016): Using mobile crowdsourcing and geotagged social media data to study people’s affective responses to environments. In: Capineri, C. et al.(eds.) European Handbook of Crowdsourced Geographic Information, pp. 385–399. London: Ubiquity Press. DOI: http://dx.doi.org/10.5334/bax.ab.
- Huang, H., Gartner, G., Klettner, S., Schmidt, M. (2014): Considering Affective Responses towards Environments for Enhancing Location Based Services. ISPRS Technical Commission IV Symposium, 14 – 16 May 2014, Suzhou, China.
- Huang, H., Gartner, G., Turdean, T. (2013): Social media data as a source for studying people’s perception and knowledge of environments. MÖGG Mitteilungen der Österreichischen Geographischen Gesellschaft (Transactions of the Austrian Geographical Society), 155, pp. 291-302. (ISI Journal Article) [Full paper on MÖGG]
- Klettner, S., Huang, H., Schmidt, M., Gartner, G. (2013): Crowdsourcing affective responses to space. KN Kartographische Nachrichten – Journal of Cartography and Geographic Information, 2013, no.2 & 3, pp. 66 – 72.
- Klettner, S., Huang, H., Schmidt, M., Ortag, F., Gartner, G. (2013): Smart citizens – the potential of humans in smart cities. In H. Widmann, eds. Smart City – Viennese Expertise based on Science and Research, Schmid-Verlag, Wien, pp. 194-199.
3. Behavioral and Social Implications of LBS
We are interested in studying the impact of LBS on both individuals and society, for example, how do LBS influence people’s spatial ability, and the way people interact with each other and their behaviours in space? My recent work on this aspect focuses on the following questions: a) How do LBS (e.g., navigation systems) influence people’s spatial knowledge acquisition, spatial awareness and spatial ability? Why it happens? b)How can we design LBS that facilitate people’s activities and decision-making without harming their spatial abilities? Main publications:
- Huang, H., Schmidt, M., Gartner, G. (2012): Spatial Knowledge Acquisition with Mobile Maps, Augmented Reality and Voice in the Context of GPS-based Pedestrian Navigation: Results from a Field Test. Cartography and Geographic Information Science, 39(2), pp. 107-116. ([Full paper on Taylor & Francis]