02338nas a2200229 4500008004100000245012400041210006900165490000600234520155800240100001601798700001401814700001701828700001401845700001401859700001501873700001701888700002101905700001401926700001701940700001701957856013401974 2014 eng d00aInference of Human Affective States from Psychophysiological Measurements Extracted under Ecologically Valid Conditions0 aInference of Human Affective States from Psychophysiological Mea0 v83 a
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.
1 aBetella, A.1 aZucca, R.1 aCetnarski, A1 aGreco, A.1 aLanata, A1 aMazzei, D.1 aTognetti, A.1 aArsiwalla, X. D.1 aOmedas, P1 aDe Rossi, D.1 aVerschure, P uhttps://www.centropiaggio.unipi.it/publications/inference-human-affective-states-psychophysiological-measurements-extracted-under02009nas a2200265 4500008003900000245009800039210006900137520115700206100001601363700001601379700001401395700002101409700001401430700001401444700001501458700001701473700001401490700001801504700001501522700002101537700001501558700001701573700001801590856013501608 2014 d00aInterpreting Psychophysiological States Using Unobtrusive Wearable Sensors in Virtual Reality0 aInterpreting Psychophysiological States Using Unobtrusive Wearab3 aOne 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.
1 aBetella, A.1 aPacheco, D.1 aZucca, R.1 aArsiwalla, X. D.1 aOmedas, P1 aLanata, A1 aMazzei, D.1 aTognetti, A.1 aGreco, A.1 aCarbonaro, N.1 aWagner, J.1 aLingenfelser, F.1 aAndrè, E.1 aDe Rossi, D.1 aVerschure, P. uhttps://www.centropiaggio.unipi.it/publications/interpreting-psychophysiological-states-using-unobtrusive-wearable-sensors-virtual02102nas a2200301 4500008004100000245016500041210006900206520109600275100001501371700001601386700001401402700002101416700001601437700001401453700002001467700001501487700001401502700001701516700001801533700001501551700001801566700001301584700001701597700001701614700001401631700002301645856013201668 2014 eng d00aXIM-Engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mixed reality0 aXIMEngine a software framework to support the development of int3 aThe development of systems that allow multimodal interpretation of human-machine interaction is crucial to advance our understanding and validation of theoretical models of user behavior. In particular, a system capable of collecting, perceiving and interpreting unconscious behavior can provide rich contextual information for an interactive system. One possible application for such a system is in the exploration of complex data through immersion, where massive amounts of data are generated every day both by humans and computer processes that digitize information at different scales and resolutions thus exceeding our processing capacity. We need tools that accelerate our understanding and generation of hypotheses over the datasets, guide our searches and prevent data overload. We describe XIM- engine, a bio-inspired software framework designed to capture and analyze multi-modal human behavior in an immersive environment. The framework allows performing studies that can advance our understanding on the use of conscious and unconscious reactions in interactive systems.
1 aOmedas, P.1 aBetella, A.1 aZucca, R.1 aArsiwalla, X. D.1 aPacheco, D.1 aWagner, J1 aLingenfelser, F1 aMazzei, D.1 aLanata, A1 aTognetti, A.1 aGoldhoorn, A.1 aGuerra, E.1 aAlquìzar, R.1 aGrau, A.1 aSanfeliu, A.1 aDe Rossi, D.1 aAndré, E1 aVerschure, P F M J uhttps://www.centropiaggio.unipi.it/publications/xim-engine-software-framework-support-development-interactive-applications-uses00809nas a2200277 4500008003900000245011000039210006900149260002200218653001900240100001600259700001700275700001400292700002100306700001400327700001600341700001200357700001400369700002000383700001400403700001500417700001700432700001400449700001700463700002300480856002800503 2013 d00aAdvanced Interfaces to Stem the Data Deluge in Mixed Reality: Placing Human (un)consciuosness in the Loop0 aAdvanced Interfaces to Stem the Data Deluge in Mixed Reality Pla aNew York, NY, USA10aBioengineering1 aBetella, A.1 aMartìnez, E1 aZucca, R.1 aArsiwalla, X. D.1 aOmedas, P1 aWierenga, S1 aMura, A1 aWagner, J1 aLingenfelser, F1 aAndré, E1 aMazzei, D.1 aTognetti, A.1 aLanata, A1 aDe Rossi, D.1 aVerschure, P F M J u10.1145/2503385.250346000620nas a2200217 4500008003900000245005500039210005300094260003500147300000800182100001400190700002000204700001400224700001500238700001700253700001700270700001600287700001400303700001400317700002300331856004800354 2013 d00aA Sensing Architecture for Empathetic Data Systems0 aSensing Architecture for Empathetic Data Systems bACM Digital Libraryc7-8 March a–1 aWagner, J1 aLingenfelser, F1 aAndré, E1 aMazzei, D.1 aTognetti, A.1 aDe Rossi, D.1 aBetella, A.1 aZucca, R.1 aOmedas, P1 aVerschure, P F M J uhttp://dx.medra.org/10.1145/2459236.2459253