Visual Appearance Modulates Prediction Error in Virtual Reality

Different rendering styles induce different levels of agency and user behaviors in virtual reality environments. We applied an electroencephalogram-based approach to investigate how the rendering style of the users’ hands affects behavioral and cognitive responses. To this end, we introduced prediction errors due to cognitive conflicts during a 3-D object selection task by manipulating the selection distance of the target object. The results showed that, for participants with high behavioral inhibition scores, the amplitude of the negative event-related potential at approximately 50–250 ms correlated with the realism of the virtual hands. Concurring with the uncanny valley theory, these findings suggest that the more realistic the representation of the user’s hand is, the more sensitive the user becomes toward subtle errors, such as tracking inaccuracies.

[1]  Daniel Afergan,et al.  Brain-based target expansion , 2014, UIST.

[2]  Tovi Grossman,et al.  The effect of time-based cost of error in target-directed pointing tasks , 2013, CHI.

[3]  Joan López-Moliner,et al.  The Effects of Visuomotor Calibration to the Perceived Space and Body, through Embodiment in Immersive Virtual Reality , 2015, TAP.

[4]  Robert J. K. Jacob,et al.  Designing a passive brain computer interface using real time classification of functional near-infrared spectroscopy , 2013, Int. J. Auton. Adapt. Commun. Syst..

[5]  J. Polich Updating P300: An integrative theory of P3a and P3b , 2007, Clinical Neurophysiology.

[6]  E Donchin,et al.  The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[7]  Clay B. Holroyd,et al.  The feedback-related negativity reflects the binary evaluation of good versus bad outcomes , 2006, Biological Psychology.

[8]  Robert J. K. Jacob,et al.  Brain measurement for usability testing and adaptive interfaces: an example of uncovering syntactic workload with functional near infrared spectroscopy , 2009, CHI.

[9]  Chi Thanh Vi,et al.  Error related negativity in observing interactive tasks , 2014, CHI.

[10]  Daniel Afergan,et al.  Dynamic difficulty using brain metrics of workload , 2014, CHI.

[11]  C. Carver,et al.  Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales , 1994 .

[12]  Ye Yuan,et al.  Is the rubber hand illusion induced by immersive virtual reality? , 2010, 2010 IEEE Virtual Reality Conference (VR).

[13]  István Czigler,et al.  Memory-based detection of task-irrelevant visual changes. , 2002, Psychophysiology.

[14]  C. Eriksen,et al.  Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .

[15]  M. Verbaten,et al.  Detection of visual change: mismatch or rareness? , 2003, Neuroreport.

[16]  S. Segalowitz,et al.  Age, sex and individual differences in punishment sensitivity: factors influencing the feedback-related negativity. , 2011, Psychophysiology.

[17]  Desney S. Tan,et al.  Brain-Computer Interfaces and Human-Computer Interaction , 2010, Brain-Computer Interfaces.

[18]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[19]  James Tompkin,et al.  A novel brain-computer interface using a multi-touch surface , 2010, CHI.

[20]  Maria V. Sanchez-Vives,et al.  From presence to consciousness through virtual reality , 2005, Nature Reviews Neuroscience.

[21]  G. Pfurtscheller,et al.  Conversion of EEG activity into cursor movement by a brain-computer interface (BCI) , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[22]  M. Coles,et al.  "Where did I go wrong?" A psychophysiological analysis of error detection. , 1995, Journal of experimental psychology. Human perception and performance.

[23]  Michael Meehan,et al.  Physiological measures of presence in stressful virtual environments , 2002, SIGGRAPH.

[24]  Doug A. Bowman,et al.  The benefits of immersion for spatial understanding of complex underground cave systems , 2007, VRST '07.

[25]  Christian Mühl,et al.  Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction , 2013, PhyCS.

[26]  Klaus Gramann,et al.  Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity , 2016, Proceedings of the National Academy of Sciences.

[27]  Yue-jia Luo,et al.  A modified oddball paradigm “cross-modal delayed response” and the research on mismatch negativity , 2002, Brain Research Bulletin.

[28]  Frank Weichert,et al.  Analysis of the Accuracy and Robustness of the Leap Motion Controller , 2013, Sensors.

[29]  Clay B. Holroyd,et al.  The feedback correct-related positivity: sensitivity of the event-related brain potential to unexpected positive feedback. , 2008, Psychophysiology.

[30]  Robert J. K. Jacob,et al.  Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines , 2009, UIST '09.

[31]  C. Braun,et al.  Event-Related Brain Potentials Following Incorrect Feedback in a Time-Estimation Task: Evidence for a Generic Neural System for Error Detection , 1997, Journal of Cognitive Neuroscience.

[32]  Kerstin Unger,et al.  Punishment sensitivity modulates the processing of negative feedback but not error-induced learning , 2012, Front. Hum. Neurosci..

[33]  Daniel Afergan,et al.  Learn Piano with BACh: An Adaptive Learning Interface that Adjusts Task Difficulty Based on Brain State , 2016, CHI.

[34]  Bryan Rodgers,et al.  What does a Man do after he Makes an Error? An Analysis of Response Programming , 1977 .

[35]  H. Ishiguro,et al.  The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions , 2011, Social cognitive and affective neuroscience.

[36]  Jérémy Frey,et al.  Framework for Electroencephalography-based Evaluation of User Experience , 2016, CHI.

[37]  Karl F. MacDorman,et al.  The Uncanny Valley [From the Field] , 2012, IEEE Robotics Autom. Mag..

[38]  Jacob O. Wobbrock,et al.  Modeling and predicting pointing errors in two dimensions , 2011, CHI.

[39]  Doug A. Bowman,et al.  Virtual Reality: How Much Immersion Is Enough? , 2007, Computer.

[40]  J. W. Minett,et al.  Optimizing the P300-based brain–computer interface: current status, limitations and future directions , 2011, Journal of neural engineering.

[41]  Li-Wei Ko,et al.  An EEG-based approach for evaluating audio notifications under ambient sounds , 2014, CHI.

[42]  Jung-Tai King,et al.  An EEG-based Approach for Evaluating Graphic Icons from the Perspective of Semantic Distance , 2016, CHI.

[43]  Eyal Ofek,et al.  Haptic Retargeting: Dynamic Repurposing of Passive Haptics for Enhanced Virtual Reality Experiences , 2016, CHI.

[44]  Marina Schmid,et al.  An Introduction To The Event Related Potential Technique , 2016 .

[45]  István Czigler,et al.  Visual mismatch negativity (vMMN): a prediction error signal in the visual modality , 2015, Front. Hum. Neurosci..

[46]  Steven K. Feiner,et al.  Combating VR sickness through subtle dynamic field-of-view modification , 2016, 2016 IEEE Symposium on 3D User Interfaces (3DUI).

[47]  Pedro Lopes,et al.  Impacto: Simulating Physical Impact by Combining Tactile Stimulation with Electrical Muscle Stimulation , 2015, UIST.

[48]  M. Balconi,et al.  FRN and P300 ERP effect modulation in response to feedback sensitivity: The contribution of punishment-reward system (BIS/BAS) and Behaviour Identification of action , 2010, Neuroscience Research.

[49]  Charlotte Stagg,et al.  Visual mismatch negativity: the detection of stimulus change , 2004, Neuroreport.

[50]  Ali Israr,et al.  Sensing the future of HCI , 2016, Interactions.

[51]  Robert Kovacs,et al.  Level-Ups: Motorized Stilts that Simulate Stair Steps in Virtual Reality , 2015, CHI Extended Abstracts.

[52]  Pedro Lopes,et al.  Haptic turk: A motion platform based on people , 2014, HAPTICS.

[53]  N. A. Borghese,et al.  Different Brain Correlates for Watching Real and Virtual Hand Actions , 2001, NeuroImage.

[54]  Jessica K. Hodgins,et al.  The saliency of anomalies in animated human characters , 2010, TAP.

[55]  Ettore Lettich,et al.  Ten Percent Electrode System for Topographic Studies of Spontaneous and Evoked EEG Activities , 1985 .

[56]  Jonathan D. Cohen,et al.  Rubber hands ‘feel’ touch that eyes see , 1998, Nature.

[57]  Tzyy-Ping Jung,et al.  Independent Component Analysis of Electroencephalographic Data , 1995, NIPS.

[58]  Chi Thanh Vi,et al.  Detecting error-related negativity for interaction design , 2012, CHI.

[59]  M. Limón On the cognitive conflict as an instructional strategy for conceptual change: a critical appraisal , 2001 .

[60]  Tabitha C. Peck,et al.  A threat to a virtual hand elicits motor cortex activation , 2014, Experimental Brain Research.

[61]  Matthias Scheutz,et al.  Sensing cognitive multitasking for a brain-based adaptive user interface , 2011, CHI.

[62]  T. Egner Congruency sequence effects and cognitive control , 2007, Cognitive, affective & behavioral neuroscience.

[63]  Clay B. Holroyd,et al.  Why is there an ERN/Ne on correct trials? Response representations, stimulus-related components, and the theory of error-processing , 2001, Biological Psychology.

[64]  Aamir Saeed Malik,et al.  P300 correlates with learning & memory abilities and fluid intelligence , 2015, Journal of NeuroEngineering and Rehabilitation.

[65]  Matthias Scheutz,et al.  Brainput: enhancing interactive systems with streaming fnirs brain input , 2012, CHI.

[66]  Robert J. K. Jacob,et al.  Using fNIRS brain sensing to evaluate information visualization interfaces , 2013, CHI.

[67]  Masumi Inagaki,et al.  Mismatch negativity of the color modality during a selective attention task to auditory stimuli in children with mental retardation , 2002, Brain and Development.

[68]  Maria V. Sanchez-Vives,et al.  Inducing Illusory Ownership of a Virtual Body , 2009, Front. Neurosci..

[69]  Glyn W. Humphreys,et al.  Distinct neural substrates for the perception of real and virtual visual worlds , 2005, NeuroImage.

[70]  Colin M. Macleod Half a century of research on the Stroop effect: an integrative review. , 1991, Psychological bulletin.

[71]  Chun-Hsiang Chuang,et al.  Real-Time EEG Signal Enhancement Using Canonical Correlation Analysis and Gaussian Mixture Clustering , 2018, Journal of healthcare engineering.

[72]  Heinrich H. Bülthoff,et al.  Render me real? , 2012, ACM Trans. Graph..

[73]  Keiji Tanaka,et al.  Conflict-induced behavioural adjustment: a clue to the executive functions of the prefrontal cortex , 2009, Nature Reviews Neuroscience.

[74]  Li-Yi Wei,et al.  Mapping virtual and physical reality , 2016, ACM Trans. Graph..