Emotions Identification to Measure User Experience Using Brain Biometric Signals

There are different techniques e.g. direct or indirect observation, questionnaires, etc. with which it is possible to estimate user experience. Biometric data obtained with different devices e.g. EEG, EMG have been used as a source to infer user experience. In this work, as part of the construction of an evaluation model of user experience, we present a preliminary study that seeks to identify emotions using records of brain electrical activity through the visualisation of preset images that stimulate emotions known a priori. The results include identifying emotions of joy and displeasure through brain activity using the Emotive device in older adults.

[1]  Dietrich Lehmann,et al.  Source localization of brain electric activity during positive, neutral and negative emotional states , 2002 .

[2]  John J. B. Allen,et al.  Frontal EEG asymmetry as a moderator and mediator of emotion , 2004, Biological Psychology.

[3]  M. Kostyunina,et al.  Frequency characteristics of EEG spectra in the emotions , 1996, Neuroscience and Behavioral Physiology.

[4]  P. Lang.  International Affective Picture System (IAPS) : Technical Manual and Affective Ratings , 1995 .

[5]  Regan L. Mandryk,et al.  A continuous and objective evaluation of emotional experience with interactive play environments , 2006, CHI.

[6]  B. Fredrickson,et al.  Positive affect and the complex dynamics of human flourishing. , 2005, The American psychologist.

[7]  Leena Arhippainen,et al.  Empirical Evaluation of User Experience in two Adaptive Mobile Application Prototypes , 2003 .

[8]  Markku Turunen,et al.  SUXES - user experience evaluation method for spoken and multimodal interaction , 2009, INTERSPEECH.

[9]  Claudio Babiloni,et al.  Inter-hemispherical functional coupling of EEG rhythms during the perception of facial emotional expressions , 2013, Clinical Neurophysiology.

[10]  Juan P. Sánchez-Navarro,et al.  Amigdala, corteza prefrontal y especializacion hemisferica en la experiencia y expresion emocional , 2004 .

[11]  Vojkan Mihajlovic,et al.  Frontal EEG Asymmetry Based Classification of Emotional Valence using Common Spatial Patterns , 2010 .

[12]  Sergio Daniel,et al.  Adquisición de señales electroencefalográficas para el movimiento de un prototipo de silla de ruedas en un sistema BCI , 2012 .

[13]  R. E. Wheeler,et al.  Frontal brain asymmetry and emotional reactivity: a biological substrate of affective style. , 2007, Psychophysiology.

[14]  Bermúdez Cicchino,et al.  Técnicas de procesamiento de EEG para detección de eventos , 2013 .

[15]  Manfred Tscheligi,et al.  HERMES: Pervasive Computing and Cognitive Training for Ageing Well , 2009, IWANN.

[16]  Mannes Poel,et al.  Evaluating user experience with respect to user expectations in brain-computer interface games , 2011 .

[17]  José Antonio Piqueras,et al.  Emociones negativas y su impacto en la salud mental y física , 2009 .

[18]  Alberto L. Morán,et al.  UCSA: a design framework for usable cognitive systems for the worried-well , 2012, Personal and Ubiquitous Computing.

[19]  Lei Zhou,et al.  Application of Frontal EEG Asymmetry to User Experience Research , 2014, HCI.

[20]  Regan L. Mandryk,et al.  Using psychophysiological techniques to measure user experience with entertainment technologies , 2006, Behav. Inf. Technol..

[21]  E. Harmon-Jones,et al.  State anger and prefrontal brain activity: evidence that insult-related relative left-prefrontal activation is associated with experienced anger and aggression. , 2001, Journal of personality and social psychology.

[22]  Lei Zhou,et al.  Using Physiological Measures to Evaluate User Experience of Mobile Applications , 2014, HCI.

[23]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[24]  Juan Carlos Augusto,et al.  Ambient intelligence: Basic concepts and applications , 2006, ICSOFT.

[25]  John J. B. Allen,et al.  The handbook of emotion elicitation and assessment , 2007 .

[26]  Günter Schulter,et al.  Typical performance measures of emotion regulation and emotion perception and frontal EEG asymmetry in an emotional contagion paradigm , 2011 .

[27]  A. González,et al.  Emociones negativas y su impacto en la salud mental y física , 2009 .

[28]  Vicente M. Simón Pérez.  Mindfulness y neurobiología , 2006 .

[29]  K. M. Donnelly,et al.  Quantitative analysis of the EEG posterior-dominant rhythm in healthy adolescents , 2008, Clinical Neurophysiology.

[30]  M. Bradley,et al.  The International Affective Picture System (IAPS) in the study of emotion and attention. , 2007 .