New publication: A lightweight algorithm for the emotional classification of crowdsourced venue reviews

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., Marini L., & 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
Download full text: 

New publication: Interacting with large maps using HMDs in VR settings

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
Download full text: 

Usability Evaluation Methods - an introduction [Greek]

I presented a short lecture on usability evaluation methods at the Aristotle University of Thessaloniki (School of Informatics).

Obviously it's impossible to cover everything in a short lecture, so the talk focused on the origins of UEM, the concept of UX, the need for multidisciplinarity and combinatory approaches to using UEM and an example from my latest (yet unpublished work).

The slides are available here as an attachment [in Greek].

New publication: Adding mid-air gestures to help editing on smartwatch text entry

Text entry has been shown to have reasonable performance on smart watches but space is very tight and editing has been shown to be a major factor slowing down text entry on many devices. In this position paper we propose use of mid-air gestures to control editing functions so that screen estate and touch gestures can be focused on text entry.

Komninos, A., & Dunlop M. D. (2017).  Adding mid-air gestures to help editing on smartwatch text entry. ACM CHI 2017 Workshop on Ubiquitous Text Interaction. Denver, Colorado, USA.