TY - JOUR T1 - Characterization of 3-Iodothyronamine In Vitro Dynamics by Mathematical Modeling JF - Cell biochemistry and biophysics Y1 - 2014 A1 - G. Orsi A1 - Ghelardoni, S. A1 - Saba, A. A1 - R. Zucca A1 - G. Vozzi VL - 68 ER - TY - JOUR T1 - Inference of Human Affective States from Psychophysiological Measurements Extracted under Ecologically Valid Conditions JF - FRONTIERS IN NEUROSCIENCE Y1 - 2014 A1 - A. Betella A1 - R. Zucca A1 - Cetnarski, A A1 - A. Greco A1 - A Lanata A1 - D. Mazzei A1 - A. Tognetti A1 - X. D. Arsiwalla A1 - P Omedas A1 - D. De Rossi A1 - Verschure, P AB -
Compared to standard laboratory protocols, the measurement of psychophysiological signals in real world experiments poses technical and methodological challenges due to external factors that cannot be directly controlled. To address this problem, we propose a hybrid approach based on an immersive and human accessible space called the eXperience Induction Machine (XIM), that incorporates the advantages of a laboratory within a life-like setting. The XIM integrates unobtrusive wearable sensors for the acquisition of psychophysiological signals suitable for ambulatory emotion research. In this paper, we present results from two different studies conducted to validate the XIM as a general-purpose sensing infrastructure for the study of human affective states under ecologically valid conditions. In the first investigation, we recorded and classified signals from subjects exposed to pictorial stimuli corresponding to a range of arousal levels, while they were free to walk and gesticulate. In the second study, we designed an experiment that follows the classical conditioning paradigm, a well-known procedure in the behavioral sciences, with the additional feature that participants were free to move in the physical space, as opposed to similar studies measuring physiological signals in constrained laboratory settings. Our results indicate that, by using our sensing infrastructure, it is indeed possible to infer human event-elicited affective states through measurements of psychophysiological signals under ecological conditions.
VL - 8 ER - TY - CONF T1 - Interpreting Psychophysiological States Using Unobtrusive Wearable Sensors in Virtual Reality T2 - Proc. of The Seventh International Conference on Advances in Computer-Human Interactions Y1 - 2014 A1 - A. Betella A1 - Pacheco, D. A1 - R. Zucca A1 - X. D. Arsiwalla A1 - P Omedas A1 - A Lanata A1 - D. Mazzei A1 - A. Tognetti A1 - A. Greco A1 - N. Carbonaro A1 - Wagner, J. A1 - Lingenfelser, F. A1 - Andrè, E. A1 - D. De Rossi A1 - Verschure, P. AB -One of the main challenges in the study of human be- havior is to quantitatively assess the participants? affective states by measuring their psychophysiological signals in ecologically valid conditions. The quality of the acquired data, in fact, is often poor due to artifacts generated by natural interactions such as full body movements and gestures. We created a technology to address this problem. We enhanced the eXperience Induction Machine (XIM), an immersive space we built to conduct experiments on human behavior, with unobtrusive wearable sensors that measure electrocardiogram, breathing rate and electrodermal response. We conducted an empirical validation where participants wearing these sensors were free to move in the XIM space while exposed to a series of visual stimuli taken from the International Affective Picture System (IAPS). Our main result consists in the quan- titative estimation of the arousal range of the affective stimuli through the analysis of participants? psychophysiological states. Taken together, our findings show that the XIM constitutes a novel tool to study human behavior in life-like conditions.
JF - Proc. of The Seventh International Conference on Advances in Computer-Human Interactions ER - TY - CONF T1 - Advanced Interfaces to Stem the Data Deluge in Mixed Reality: Placing Human (un)consciuosness in the Loop T2 - ACM SIGGRAPH 2013 Y1 - 2013 A1 - A. Betella A1 - E. Martìnez A1 - R. Zucca A1 - X. D. Arsiwalla A1 - P Omedas A1 - S. Wierenga A1 - A. Mura A1 - J. Wagner A1 - F. Lingenfelser A1 - E. André A1 - D. Mazzei A1 - A. Tognetti A1 - A Lanata A1 - D. De Rossi A1 - P. F. M. J. Verschure KW - Bioengineering JF - ACM SIGGRAPH 2013 CY - New York, NY, USA UR - 10.1145/2503385.2503460 ER - TY - JOUR T1 - Characterization of 3-Iodothyronamine In Vitro Dynamics by Mathematical Modeling JF - Cell Biochem Biophys Y1 - 2013 A1 - G. Orsi A1 - S. Ghelardoni A1 - A. Saba A1 - R. Zucca A1 - G. Vozzi KW - Bioengineering ER - TY - CONF T1 - A Sensing Architecture for Empathetic Data Systems T2 - ACM International Conference Proceeding Series Y1 - 2013 A1 - J. Wagner A1 - F. Lingenfelser A1 - E. André A1 - D. Mazzei A1 - A. Tognetti A1 - D. De Rossi A1 - A. Betella A1 - R. Zucca A1 - P Omedas A1 - P. F. M. J. Verschure JF - ACM International Conference Proceeding Series PB - ACM Digital Library UR - http://dx.medra.org/10.1145/2459236.2459253 ER - TY - JOUR T1 - LTI Models for 3-Iodothyronamine Time Dynamics: A Multiscale View. JF - IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING Y1 - 2011 A1 - G. Orsi A1 - Frascarelli, S A1 - R. Zucca A1 - G. Vozzi KW - Bioengineering VL - 58 ER -