Location based services are a common application scenario in mobile and ubiquitous computing. A major issue with map applications in this domain is the limited size of the display, which makes interaction and visualization a difficult problem to solve. With the increasing popularity of VR and AR systems, an opportunity exists for map-based applications to overcome the limitation small display sizes, as the user’s information visualization space can extend to her entire surroundings. We present a preliminary investigation into how interaction with such very large display interfaces can take place, using a virtual reality headset as the sole input and interaction method.

Giannopoulos, I., Komninos A., & Garofalakis J. (2017).  Natural interaction with large map interfaces in VR. 21st ACM Panhellenic Conference on Informatics. Larisa, Greece, ACM. DOI:10.1145/3139367.3139424

Finding emotions in text is an area of research with wide- ranging applications. Analysis of sentiment in text can help determine the opinions and affective intent of writers, as well as their a itudes, evaluations and inclinations with respect to various topics. Previous work in sentiment analysis has been done on a variety of text genres, including product and movie reviews, news stories, editorials and opinion articles, or blogs. We describe a lightweight emotion annotation algorithm for identifying emotion category & intensity in reviews wri en by social media (Foursquare) users. e algorithm is evaluated against human subject performance and is found to compare favourably. is work opens up opportunities for solving the problem of helping user navigate through the plethora of venue reviews in mobile and desktop applications.

Kolokythas, P., Komninos A., & Garofalakis J. (2017).  A lightweight algorithm for the emotional classification of crowdsourced venue reviews. 21st ACM Panhellenic Conference on Informatics. Larisa, Greece, ACM. DOI:10.1145/3139367.3139422

Location based services are a common application scenario in mobile and ubiquitous computing use. A typical issue with cartographic applications in this domain is the limited size of the displayed map, which makes interaction and visualization a difficult problem to solve. With the increasing popularity of head mounted displays for VR and AR systems, an opportunity is presented for map-based applications to overcome the limitation of the small display size, as the user’s information visualization space can extend to his entire surroundings. In this paper we present a preliminary investigation into how interaction with such very large display maps can take place, using a virtual reality headset as the sole input and interaction method.

Giannopoulos, I., Komninos A., & Garofalakis J. (2017).  Interacting with large maps using HMDs in VR settings. 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17). Vienna, Austria, ACM. DOI:10.1145/3098279.3122148