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--- pub:research [2018/09/05 19:15] – [GEM2018] bgc
+++ pub:research [2018/11/02 16:55] – [HSI2018] doi gjn
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 ===== Papers =====
+==== CoSECiVi2018 ====
+  * //How a mobile platform for emotion identification supports designing affective games//, Grzegorz J. Nalepa, Barbara Giżycka
+  * Presented at the [[https://sci2s.ugr.es/caepia18/cosecivi.html|V Congress of the Spanish Society for Video Game Science]]
+  * Abstract: Afective  computing  is  a  multidisciplinary  area  of research  regarding  modeling,  identification,  and  synthesis  of emotions using computer-based methods. Affective gaming is dedicated specifically to developing games that use the information regarding player’s emotional condition. Such games focus on the emotional  dimension  of  gaming  experience,  to  provide  greater player engagement. In this short paper we give an overview of our recent works aimed at developing a mobile software platform for emotion identification using wearable devices. Furthermore, we have been working on the integration of this approach with the design and development of affective games
+  * Short paper, [[https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_280.pdf|available online]]
 ==== GEM2018 ====
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 ==== HSI2018 ====
-  * //BandReader – A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments//, Krzysztof Kutt, Grzegorz J. Nalepa, Barbara Giżycka, Paweł Jemioło, Marcin Adamczyk, IEEE eXplore proceedigs coming soon, [[http://hsi2018.welcometohsi.org/?page_id=592|for now see conference page]]
+  * //BandReader – A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments//, Krzysztof Kutt, Grzegorz J. Nalepa, Barbara Giżycka, Paweł Jemioło, Marcin Adamczyk, IEEE eXplore reachable at [[https://doi.org/10.1109/HSI.2018.8431271]], [[http://hsi2018.welcometohsi.org/?page_id=592|see also the conference page]]
   * Presented at [[http://hsi2018.welcometohsi.org|IEEE Human System Interaction (HSI 2018) conference]]
   * Abstract: In the paper we describe a new software solution for mobile devices that allows for data acquisition from wristbands. The application reads physiological data from wristbands and supports multiple recent hardware. In our work we focus on the Heart Rate (HR) and Galvanic Skin Response (GSR) readings. This data is used in the affective computing experiments for human emotion recognition.