- Open Access
Perspective and agency during video gaming influences spatial presence experience and brain activation patterns
© Havranek et al.; licensee BioMed Central Ltd. 2012
Received: 2 November 2011
Accepted: 29 June 2012
Published: 19 July 2012
The experience of spatial presence (SP), i.e., the sense of being present in a virtual environment, emerges if an individual perceives himself as 1) if he were actually located (self-location) and 2) able to act in the virtual environment (possible actions). In this study, two main media factors (perspective and agency) were investigated while participants played a commercially available video game.
The differences in SP experience and associated brain activation were compared between the conditions of game play in first person perspective (1PP) and third person perspective (3PP) as well as between agency, i.e., active navigation of the video game character (active), and non-agency, i.e., mere passive observation (passive). SP was assessed using standard questionnaires, and brain activation was measured using electroencephalography (EEG) and sLORETA source localisation (standard low-resolution brain electromagnetic tomography).
Higher SP ratings were obtained in the 1PP compared with the 3PP condition and in the active compared with the passive condition. On a neural level, we observed in the 1PP compared with the 3PP condition significantly less alpha band power in the parietal, the occipital and the limbic cortex. In the active compared with the passive condition, we uncovered significantly more theta band power in frontal brain regions.
We propose that manipulating the factors perspective and agency influences SP formation by either directly or indirectly modulating the ego-centric visual processing in a fronto-parietal network. The neuroscientific results are discussed in terms of the theoretical concepts of SP.
When confronted with well-designed virtual reality (VR) scenarios, many people experience a subjective sense of actually being in the VR environment while transiently being unaware of the technology that delivers the stream of virtual input to the senses. This specific feeling has been coined “spatial presence” (SP) [1–3]. This definition of SP emphasises the important role of spatial cues and the subjective strategy involved in recruiting attentional resources for processing sensory input (perception-oriented approach). An alternative view has been proposed by Sanchez-Vivez and Slater . They underline the particular contribution of supported actions in the real or virtual environment (VE) as a constituent feature of the experience of reality. They argue that the sense of “being there” in a VE is strongly grounded on the ability “to do there” (action-oriented approach).
In the context of a more recent theoretical paper, both approaches are combined and extended . In this theoretical account, a psychological construct referred to as “egocentric reference frame” (ERF) is used to explain SP. An ERF is a mental model of the world organised from a first-person perspective and contains information about the spatial properties of the immediate surroundings. A mediated environment (e.g. VR) offers an alternative ERF to the users’ real-world ERF. The sense of SP emerges if this alternative ERF is chosen as the primary ERF over the competing ERF of the real physical world. The outcome of this selection process is considered to be based on two critical questions: whether a person perceives himself 1) as if actually located in the mediated environment (self-location) and 2) as being able to act in the mediated environment (possible actions).
Only a few studies to date have examined the neural underpinnings of SP. For example, Baumgartner et al. [6, 7] identified a distinct network of fronto-parietal brain regions involved in the generation and regulation of SP during exposure to virtual roller coaster scenarios. Using EEG , they found activations in parietal brain regions and deactivations in frontal brain regions in participants experiencing high SP compared with participants experiencing low SP. They concluded from their findings that spatial cues presented in the roller coaster scenario generate a sense of SP by strongly activating parietal brain regions (in the dorsal visual stream particularly) that thus lead to enhanced egocentric processing of the displayed environment. In a subsequent fMRI study , they concluded that frontal (de)activations relating to differences in SP are closely associated with modulatory processes in the dorsolateral prefrontal cortex (DLPFC). Specifically, they concluded that activation in the DLPFC modulates the sense of SP by down-regulating egocentric visual processing in the dorsal visual stream, as reflected in those participants who experience low SP. This interpretation has received support by further studies using EEG  and transcranial direct current stimulation (tDCS) , the latter relating these ideas to neuroscientific concepts of behaviour and impulse control [for review, see ], and by an interesting study investigating flow experience during video game playing .
Considering the increasing importance of VR in our society (e.g. in TV, video gaming and the internet), this study aimed to extend our understanding of SP by investigating the neural correlates of the theoretically proposed key stages in the formation of SP. It was decided to experimentally influence the choice of the virtual ERF as the primary ERF by manipulating the impression of self-location on the one hand and the perceived possible actions on the other hand. To do so, the two important media factors perspective (first-person perspective vs. third-person perspective) and agency (being the agent of the actions in the VR vs. being the observer of the actions in the VR) were experimentally controlled and manipulated. These two factors have been shown to influence experience of SP in various psychometrical and behavioural studies [12, 13]; however, no study has investigated their influence on SP on a neural level. Thus, the present study sought to establish how manipulating the factors perspective and agency would influence the impression of self-location and the perceived possible actions and the formation of SP on a perceptual and a neural level.
To investigate this, electroencephalography (EEG) was recorded and subjective SP experience was assessed while participants played the commercially available video game “The elder scrolls 4: Oblivion”. Participants had to play a simple, non-arousing task, in which they were required to navigate the video game’s avatar (i.e. the virtual character) to a given location in four different conditions (i.e. in a 2x2 design combining the factors perspective and agency). The two perspective conditions entailed playing in the 1PP or in the 3PP. The two agency conditions allowed participants to either actively control the avatar (active) or to passively observe the avatar while it was in fact controlled by another player (passive). EEG registration was chosen over fMRI measurements to facilitate presentation of a real-life gaming situation and because EEG has been shown to be a valuable tool in the study of video and computer gaming in previous research [14, 15]. In order to directly compare our EEG results with the previously obtained functional magnetic resonance imaging (fMRI) and tDCS findings of our group [7, 9, 10], the sLORETA software (standard low-resolution brain electromagnetic tomography) was used also in order to calculate the cortical sources . Based on previous studies, it was hypothesized that manipulating the factors perspective and agency influences SP by either directly or indirectly modulating the ego-centric processing in the dorsal stream. The following predictions were thus formulated for our EEG experiment:
H1: Playing the video game under 1PP compared with 3PP will enhance the experience of SP and reveal stronger activation in parietal areas (especially in the dorsal visual stream).
H2: Actively playing the video game compared with passively observing it will enhance the experience of SP and show stronger deactivation in frontal brain areas (e.g. in the DLPFC).
Twenty healthy male volunteers took part in this experiment (age =19-32 years; M = 23.5 years; SD = 3.83). One person had to be excluded from statistical analysis due to missing EEG data. All participants were consistently right-handed and native speakers of German. Handedness was assessed using the Annett-Handedness Questionnaire . To measure health status, a questionnaire regarding neurological and psychiatric health, drug use, hearing and visual deficits was used. None of the participants reported any history of neurological or psychiatric disease, sensory impairments or subjective cognitive impairments. To control for any effects of gaming expertise, the sample was stratified according to the gaming experience of the participants into 10 experienced gamers (>5 hours per week, M = 11.70 and SD = 8.24) and 10 non-gamers (<1 hour per week, M = 0.2 and SD = 0.42). The participants were recruited from various sources, such as the university, the social network of the investigators and via internet ads. The local ethics committee approved the study and all participants gave written informed consent.
Since the sense of SP is a subjective feeling, the MEC-SPQ questionnaire was used . The MEC-SPQ is specifically designed to measure SP and consists of 9 scales. Four of these cover process factors (attention allocation, spatial situation model, self-location, possible actions), two scales refer to states and actions (higher cognitive involvement, suspension of disbelief) and three scales address more trait-like personality characteristics (i.e. domain specific interest, visual spatial imagery, and absorption). Two of the process scales are specifically intended to reflect physical (or spatial) presence: namely the self-location and the possible actions scale. The sub-scale self-location measures the impression of the subject to be physically in the middle of the virtual game environment (e.g. “I felt like I was actually there in the environment of the presentation.”). The sub-scale possible actions assesses the impression of being able to act in the VE (e.g. “The objects in the presentation gave me the feeling that I could do things with them.”). There are three versions of the MEC-SPQ: a full, a medium and a short version of all the scales (with 8, 6 or 4 items per scale). All versions have been validated in large samples in different cities within three countries (Los Angeles, Helsinki, Porto) . In our study, a German translation of the 4-item scale for the sub-scales self-location and possible actions was used. Participants were instructed to answer on an 8- point scale ranking (“0 = I do not agree at all” to “7 = I agree fully”), instead of the proposed 5-point scale because it was determined in the pilot study that more precise results would be derived from the use of a larger scale. In the statistical analysis, the Friedman test was used as a first step to identify effects of the factors perspective and agency on the sub-scales self-location and possible actions. In a second step, the Wilcoxon test was used to make three pairwise comparisons between the four conditions (1PP-active vs. 3PP-active, 3PP-active vs. 1PP-passive and 1PP-passive vs. 3PP-passive). The results were considered significant in case of p < 0.05, corrected for multiple comparisons (Bonferroni).
EEG recordings and preprocessing
EEG was recorded from 30 scalp electrodes using a Brain Vision amplifier system (Brain Products, Germany). Silver-silver-chloride electrodes were used in association with the “Easy Cap System“(International 10–10 system, Falk Minow Services, Germany) and were attached according to the international 10–10 system in the following positions Fp1/2, F3/4, F7/8, Fz, FCz, FT7/8, FC3/4, T7/8, C3/4, Cz, TP7/8, TP9/10, CP3/4, CPz, P7/8, P3/4, Pz, O1/2 and Oz. Recording reference was at FCz, with off-line re-referencing to average reference [19, 20]. An electro-oculogram (EOG) was recorded from two additional electrodes placed below the outer canthus of each eye to record horizontal eye movements. Brain Vision Recorder and Analyzer (Brain Products, Germany) were used to record and analyze the data. The digital sampling rate was 500 Hz; impedance was kept below 10kΩ. Participants were seated in a comfortable chair with their head resting in a head mounting within a sound- and electrically shielded chamber with dim illumination. In the beginning of the experiment, a short 3 minute open eye resting condition EEG was taken as baseline recording. Then, after a short training session (to learn the navigation of the avatar), continuous EEG was recorded during each experimental trial.
After recording EEG, the data were bandpass filtered from 1 to 30 Hz using a notch filter at 50 Hz. Then, an independent component analysis (ICA) algorithm provided in the EEGlab software was used to correct for artefacts (e.g. eye blinks & eye movements). It has been shown that ICA can effectively detect, separate and remove activity in EEG records from a wide variety of artificial sources . In addition, all recorded data were carefully and individually checked for artefacts (sweating & muscle artefacts) by visual inspection. The artefact-free EEG was recomputed against the average reference . Each of the four conditions was then segmented into epochs of 2-s duration. We used 68 segments per subject and condition for all the analyses (30.88% of all epochs were excluded).
Scalp map analysis
A discrete Fourier transformation algorithm was applied to all 2-s epochs according to the frequency band spectra defined by Kubicki et al. : delta (1.5-6 Hz), theta (6.5-8 Hz), alpha1 (8.5-10 Hz), alpha2 (10.5-12 Hz), beta1 (12.5-18 Hz), beta2 (18.5-21 Hz), beta3 (21.5-30 Hz) and omega (1.5-30 Hz). Of these frequency band spectra, the alpha and theta band power interested us the most. Alpha band power has repeatedly been shown to be inversely related to haemodynamic brain responses especially in lateral frontal and parietal brain areas [24–26] and based on these results, we take the alpha band power as an indicator of cortical deactivation in these areas. Theta rhythm in frontal areas is referred to as “frontal midline theta” (FM-theta) and has been observed during a large variety of tasks such as mental calculation, working memory and learning, error processing, and meditation [27, 28]. Therefore, FM-theta has been interpreted as a correlate of heightened mental effort and sustained attention required during a multitude of operations. Furthermore, FM-theta has been found in previous EEG based video gaming studies [29–31]. Thus, alpha band power (including alpha1 [8.5-10 Hz] and alpha2 [10.5-12 Hz]) and theta band power (6.5- 8 Hz) spectra were calculated for each single epoch and then averaged across epochs.
In accordance with the study of Baumgartner et al. , 12 electrodes were collapsed into three frontal and three parietal electrode clusters: frontal left (F3/FC3), frontal midline (Fz/FCz), frontal right (F4/FC4), parietal left (CP3/P3), parietal midline (CPz/Pz), and parietal right (CP4/P4). In a first step, the two frequency band spectra (alpha and theta) were analysed separately with two four-way ANOVAs (analysis of variance) with the following repeated measurements factors: perspective (1PP vs. 3PP), agency (active vs. active), region (frontal vs. parietal) and hemisphere (left, midline and right). Greenhouse-Geisser correction was applied to guard against effects of heteroscedasticity. In a second step, dependent t-tests were used to make four pairwise comparisons between the four conditions separately for alpha and theta (1PP-active vs. 1PP-passive, 3PP-active vs. 3PP-passive, 1PP-active vs. 3PP-active and 1PP-passive vs. 3PP-passive). The statistical analysis was performed with SPSS (version 17). The results were considered significant in case of p < 0.05, corrected for multiple comparisons (Bonferroni). In the presentation of the ANOVA results, alpha1 and alpha2 will be reported together as alpha (8.5- 12 Hz).
The sLORETA software was used for source reconstruction. The sLORETA method [32, 33] calculates the three dimensional distribution of electrically active neuronal generators within the brain as current density values (A/cm2) based on the recorded scalp electric potential differences. sLORETA estimates the inverse problem using the assumption that the smoothest of all possible activities is the most plausible one. This assumption is supported by electrophysiological data demonstrating that neighbouring neuronal populations show highly correlated activity . The sLORETA software implies a three-shell spherical head model registered to the Talairach and Tournoux atlas (Brain Imaging Centre, Montreal Neurological Institute). Source solutions space was limited to cortical gray matter and hippocampus according to the probability atlas provided by the Montreal Neurological Institute (number of voxels: 6392, voxel dimension: 5 mm2). It has been shown in various studies that sLORETA is able to correctly locate with fairly low errors [35–38], which has been validated from studies combining sLORETA with fMRI  and with PET . Statistical significance is assessed by means of a nonparametric randomization test  and thresholds were set to p < 0.05 (corrected for multiple comparisons).
Scalp map analysis
1PP-active vs. 1PP-passive
3PP-active vs. 3PP-passive
1PP-active vs. 3PP-active
1PP-passive vs. 3PP-passive
1PP-active vs. 1PP-passive
3PP-active vs. 3PP-passive
1PP-active vs. 3PP-active
1PP-passive vs. 3PP-passive
1PP-active vs. 1PP-passive (theta)
6.34E + 00
Inferior Frontal Gyrus
Superior, middle, medial, inferior frontal gyrus
5.42E + 00
Middle Frontal Gyrus
Superior, middle frontal gyrus
1PP-active vs. 3PP-active (alpha1)
−7.14E + 00
Posterior cingulate, cingulate gyrus, parahippocampal gyrus, lingual gyrus, cuneus
−5.32E + 00
1PP-active vs. 3PP-active (alpha2)
−4.87E + 00
Inferior Parietal Lobule
Inferior parietal lobule
High SP vs. Low SP (alpha2)
−4.06E + 00
Superior Parietal Lobule
Superior parietal lobule, precuneus
The goal of this study was to establish whether SP is modulated by the two critical media factors perspective and agency and to delineate the neural impact of these factors during video game play. We thus conducted an experiment in which the participants played the video game “Oblivion” in four different conditions (1PP-active, 3PP-active, 1PP-passive and 3PP-passive) while scalp EEG was recorded and subjective experience of SP was assessed. The most important findings may be summarised as follows: (1) Higher SP ratings were obtained in 1PP compared with 3PP and in the active compared with the passive condition. (2) The analysis of the scalp EEG data revealed more alpha band power during 3PP than during 1PP and more alpha band power in the passive than in the active condition. (3) For the theta band, there was more activity in the active than in the passive condition and no significant activity difference between the two perspectives. (4) The intracerebral activations inferred with sLORETA revealed less alpha band activity in the parietal cortex, the occipital cortex, and the limbic cortex for the 1PP compared to the 3PP condition. (5) Finally, there was stronger theta activity bilaterally in the frontal cortex including superior, middle and inferior areas in the active than in the passive condition. In the following, we will discuss these findings in the context of the literature on SP with specific emphasis on neuroscientific findings.
SP feeling in the context of perspective and agency
Operating the video game in the 1PP and active conditions was associated with the strongest subjective SP feelings, thus corroborating the results of previous studies [12, 13]. Nevertheless, our findings go beyond these previous studies because we also examined the interaction of these two factors. Doing this, we found stronger SP ratings during the active conditions (1PP-active and in the 3PP-active) than during both passive conditions (1PP-passive and 3PP-passive), meaning that this general effect was independent of whether the subjects played in 1PP or 3PP. Thus, the factor agency exerts a stronger perception of SP than the factor perspective.
Early conceptualisations of SP have highlighted the specific role of perception on the generation of SP (the perception-oriented view). In this view, SP most strongly depends on the specific perception of spatial cues in VR. It has been argued that the person is concurrently “inattentive” to the spatial cues of the real physical surroundings . Thus, a sensory-rich media stimulation evokes greater attentional processing preferentially via the visual dorsal stream and thus contributes to an enhanced perception of SP [1, 10, 18]. An alternative view of SP has been proposed by Sanchez-Vives and Slater (the action-oriented view) . These authors highlight the role of controlled actions in the real or VE as a constituent feature for experiencing SP. The sense of “being there” in a VE is thought to be based on the ability to “do there”. Thus, conscious action control and movement within the VE is an important constituent of SP. This does not necessarily mean that real actions must be executed in a VE. A mental representation of an action can be automatically triggered by the incoming VE stimuli irrespective of subsequent execution of the action or not . Both views, the perception-oriented and the action-oriented, receive support from our own study since we demonstrate that the experience of SP can be evoked by the perceptual perspective and by the experience of agency in the VE.
However, our experiment indicates that agency is more important for SP, given the larger influence of agency than of perspective on SP ratings. This finding is consistent with the action-oriented view in a gaming situation, although this may be limited to the specific characteristics of computer and video gaming and may not be generalized to all VR situations. In a common video gaming situation like the one used in our experiment the sensory modalities are not exposed to the kind of near-real-life stimuli that more sophisticated VR technologies can deliver. Sophisticated VR technologies are capable of addressing different sensory modalities and of sustaining a match between these different modalities (e.g. by using eye goggles and real-time tracking devices) . However, in video or computer gaming, the means to stimulate sensory modalities are technically limited to a TV or computer screen. But we suggest that in video gaming this limitation can be compensated for by an increase in the interactivity enabled or required by the mediated environment. Referring to the model of Wirth et al. , we postulate that the possibility to act and manipulate first “attracts” the attention of the player to the VE and, in a second step, increases the acceptance of the mediated ERF as the primary ERF. Consequently, it is possible that (especially in video gaming) the perception of agency is of higher importance than the perception of self-location.
Neurophysiology in the context of perspective and agency
With respect to the cortical activation pattern, we identified decreased alpha band activity in the active and 1PP conditions. Since the active and 1PP conditions evoke the strongest SP perception, it is clear that strong SP is associated with less alpha band activity. Based on studies that revealed strong negative relationships between hemodynamic responses and alpha band power [24–26], we take the alpha band power as an indicator of cortical deactivation in these areas. Thus, higher cortical activation (strong hemodynamic responses) is associated with less alpha band activity. In the context of our study, the weaker alpha band responses over frontal and over parietal areas during 1PP and the active conditions indicates increased brain activation during these conditions. Since these conditions are also those with the strongest sense of SP, we assume that strong SP is associated with increased activation in the fronto-parietal network. For the theta band, we identified more theta band power (especially over the frontal midline positions) during the active conditions. In contrast to alpha band activity, theta band activity is not a direct indicator of neural activation or deactivation. However, theta band activity, especially over the frontal midline electrodes (FM-theta), is known to be involved in the control of complex cognitive operations such as working memory, memory processes, and the control of actions [27, 28]. Furthermore, our finding of increased FM-theta in active conditions is consistent with previous EEG based video gaming studies in showing that operating actions in VEs is associated with increased FM-theta [29–31].
Intracerebral activations in the context of SP feeling
In the comparison between high SP conditions and low SP conditions, we found less alpha2 frequency band power in parietal brain regions of the left hemisphere (left superior and inferior parietal gyrus, left precuneus) in the high SP conditions. Additionally, we revealed a significant positive correlation between intracerebral alpha activity in the bilateral DLPFC and SP ratings of the self-location subscale. These findings are in accordance with previous findings of our group in which we demonstrated 1) that SP experience is associated with the involvement of a distributed fronto-parietal network including the dorsal visual stream as a prominent part, and 2) that the DLPFC is one of the major regulators within this network [6, 7]. Nevertheless, our results not only replicate previous findings but expand current knowledge by showing that these neurophysiological mechanisms are not confined to the virtual roller coaster scenarios used by Baumgartner et al. [6, 7]. Since the roller coaster scenarios were non-interactive and arousing, while our experimental scenarios were interactive and non-arousing, we demonstrate that the core regions associated with SP are relevant in different virtual environments.
Intracerebral activations in the context of perspective and agency
Comparison of the intracerebral sources of alpha activity between 1PP and 3PP (separately for the active and the passive conditions) revealed a network of neural sources including the parietal cortex (right inferior parietal lobule), the occipital cortex (left lingual gyrus, left cuneus), and the limbic cortex (bilateral posterior cingulate, left cingulate cortex, left parahippocampalgyrus) with decreased alpha activity. Comparison of the active and passive conditions showed stronger theta activity in frontal brain areas during the active conditions (superior, middle, medial and inferior frontal gyrus in the left hemisphere, and superior and middle frontal gyrus in the right hemisphere). The fronto-parietal network found in the present study (and in previous studies of our group) is not exclusively associated with generating and controlling the experience of SP [see also . These regions of the parietal cortex are known to be involved in spatial processing, mental rotation, and most importantly, a part of this network constitutes the dorsal visual stream, which is known to be involved in the egocentric processing [43, 44]. These parts of the limbic cortex are known to play an important role in episodic memory, emotional stimuli processing, and action control [23, 35]. The identified frontal brain areas are known to be involved in various executive functions that exert regulatory control over emotions and actions with the DLPFC being an important part [27, 45–51].
Among the various brain regions within this fronto-parietal network, the role of a parietal-premotor connection associated with sensory-motor integration is particularly interesting for the interpretation of our findings for perspective and agency. The posterior parietal cortex (PPC) is known to integrate information from different sensory modalities to form a coherent multimodal representation of space coded in a body-centered reference frame. This integration of multisensory cues includes mapping the position of objects in reference to one’s own body . The premotor cortex, (PMC) on the other hand, appears to define a corresponding motor space consisting of all potential motor actions within the surrounding space . It has been suggested that potential target objects within the visual field elicit motor schemas for potential actions that map the position of these objects in the surrounding environment . Put simply, the PPC directly maps the position of objects in reference to the body, whereas the PMC creates a motor space as an intermediate step first.
According to the model of Wirth et al. , an alternative egocentric reference frame (ERF) to the real-world ERF develops from spatial cues and action cues of the VE. This ERF contains information about the spatial properties of immediate surroundings from a first-person perspective. The parietal-premotor connection might play a key role in this process. As mentioned in a previous review , we believe that the new egocentric view derived from VR is generated in the context of several transformation processes in the dorsal visual stream of the parietal cortex [see [43, 44]]. Regarding our findings for perspective and agency, we propose that mediated by the PPC, spatial cues from the VE directly define the spatial properties within an egocentric view. On the other hand, mediated by the PMC, actions cues in the VE are used to define a motor space which indirectly facilitates an egocentric view. Thus, we propose that both parietal and frontal regions are involved in the generation of the alternative ERF derived from the mediated environment.
The sense of SP is thought to emerge when the ERF from the mediated environment is selected as the primary ERF over the competing ERF of the actual environment (Wirth et al. ). We believe that whether or not a person chooses this new ERF as the primary ERF depends (among other things) upon the strength of the influence that media factors such as perspective and agency exert on this fronto-parietal network. More specifically, we propose that playing in 1PP, as well as actively controlling the actions of the video game avatar, increases the acceptance of the new ERF as the primary ERF mediated by (and observable as) increased activation in the fronto-parietal network.
The present study has some limitations which should be addressed in future studies. The SP model of Wirth et al. , which lays the theoretical foundation for the interpretation of our neuroscientific findings, has not yet been thoroughly investigated empirically. It remains to be seen if this model will receive further support in future investigations.
The post-hoc questionnaires used in this study have disadvantages due to their administration after exposure; these disadvantages include recency effects, anchoring effects and inaccurate recall . However, the alternative of a continuous on-line measurement of SP also has important disadvantages such as disruption of the SP experience itself by drawing attention away from the VE . Future studies may be able to use new developed measurement procedures which seek to overcome these issues.
A limitation of our study design was the fact that we were not able to investigate the factors perspective and agency independently. In future studies, it may prove beneficial to manipulate the amount of sensory information and the possibilities to act in the VE independently in order to further elaborate how each influence SP and which influences SP more significantly.
In sum, we propose that manipulating the factors perspective and agency influences SP by either directly or indirectly modulating the ego-centric visual processing in a fronto-parietal network. The findings of this study fit well within recent neuroimaging and behaviour studies. Several studies have demonstrated that a strong sense of SP is associated with activation in a distributed brain network that specifically includes fronto-parietal regions [6–10]. But our findings are also consistent with different theoretical views on presence (i.e. action- and perception-oriented) and may thus help to reconcile these views in one conceptual framework [5, 10].
This work was supported by the European Union FET Integrated Project PRESENCCIA (Contract number 27731). Furthermore, we would like to acknowledge Janine Saurer for her help in data collection.
- Witmer B, Singer M: Measuring presence in virtual environments: A presence questionnaire. Presence-teleop Virt. 1998, 7: 266-267.View ArticleGoogle Scholar
- Ijsselsteinjn W, de Riddler H: Presence: Concept, determinants and measurement. P Soc Photo-opt Ins. 2000, 3959: 520-529.Google Scholar
- Slater M: Presence and emotions. Cyberpsychol Behav. 2004, 7: 121-10.1089/109493104322820200. author reply 123View ArticlePubMedGoogle Scholar
- Sanchez-Vives M, Slater M: From presence to consciousness through virtual reality. Nat Rev Neurosci. 2005, 6: 332-339. 10.1038/nrn1651.View ArticlePubMedGoogle Scholar
- Wirth W, Hatmann T: A process model of the formation of spatial presence experiences. Media Psychol. 2007, 9: 493-525. 10.1080/15213260701283079.View ArticleGoogle Scholar
- Baumgarten T, Valko L: Neural correlate of spatial presence in an arousing and noninteractive virtual reality: an EEG and psychophysiology study. Cyberpsychol Behav. 2006, 9: 30-45. 10.1089/cpb.2006.9.30.View ArticleGoogle Scholar
- Baumgartner T, Speck D: Feeling present in arousing virtual reality worlds: prefrontal brain regions differentially orchestrate presence experience in adults and children. Front Hum Neurosci. 2008, 2: 8.PubMed CentralView ArticlePubMedGoogle Scholar
- Jancke L, Brunner B: Brain activation during fast driving in a driving simulator: the role of the lateral prefrontal cortex. Neuroreport. 2008, 19: 1127-1130. 10.1097/WNR.0b013e3283056521.View ArticlePubMedGoogle Scholar
- Beeli G, Casutt G: Modulating presence and impulsiveness by external stimulation of the brain. Behav Brain Funct. 2008, 4: 33-10.1186/1744-9081-4-33.PubMed CentralView ArticlePubMedGoogle Scholar
- Jancke L, Cheetham M: Virtual reality and the role of the prefrontal cortex in adults and children. Front Neurosci. 2009, 3: 52-59.PubMed CentralView ArticlePubMedGoogle Scholar
- Klasen M, Weber R: Neural contributions to flow experience during video game playing. Soc Cogn Affect Neurosci. 2012, 7: 485-495. 10.1093/scan/nsr021.PubMed CentralView ArticlePubMedGoogle Scholar
- Larsson P, Vastfjall D: The actor-observer effect in virtual reality presentations. Cyberpsychol Behav. 2001, 4: 239-246. 10.1089/109493101300117929.View ArticlePubMedGoogle Scholar
- Kallinen K, Salminen M: Presence and emotion in computer game players during 1st person vs. 3rd person playing view: Evidence from self-report, eye-tracking, and facial muscle activity data. Proceedings of the PRESENCE. 2007, : 187-190.Google Scholar
- Salminen M, Ravaja N: Oscillatory brain responses evoked by video game events: the case of super monkey ball 2. Cyberpsychol Behav. 2007, 10: 330-338. 10.1089/cpb.2006.9947.View ArticlePubMedGoogle Scholar
- Salminen M, Ravaja N: Increased oscillatory theta activation evoked by violent digital game events. Neurosci Lett. 2008, 435: 69-72. 10.1016/j.neulet.2008.02.009.View ArticlePubMedGoogle Scholar
- Pascual-Marqui RD: Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol. 2002, 24 (suppl D): 5-12.PubMedGoogle Scholar
- Annett M: A classification of hand preference by association analysis. Br J Psychol. 1970, 61: 303-321. 10.1111/j.2044-8295.1970.tb01248.x.View ArticlePubMedGoogle Scholar
- Vorderer P, Wirth W: MEC spatial presence questionnaire (MEC-SPQ): Short documentation and instructions for application. Report to the European Community, Project Presence: MEC. 2001, 37661-ISTGoogle Scholar
- Lehmann D: The view of an EEG-EP mapper. Brain Topogr. 1988, 1: 77-78. 10.1007/BF01129171.View ArticlePubMedGoogle Scholar
- Lehmann D: Past, present and future of topographic mapping. Brain Topogr. 1990, 3: 191-202. 10.1007/BF01128876.View ArticlePubMedGoogle Scholar
- Jung TP, Makeig S: Independent component analysis of electroencephalographic and event-related potential data. Auditory processing and neural modelling. Edited by: Poon P, Brugge J. 1998, Plenum Press, New York, 189-197.View ArticleGoogle Scholar
- Lehmann D, Skrandies W: Reference-free identification of components of checkerboard-evoked multichannel potential fields. ElectroencephalogrClin Neurophysiol. 1980, 48: 609-621. 10.1016/0013-4694(80)90419-8.View ArticleGoogle Scholar
- Kubicki S, Herrmann WM: Reflections on the topics: EEG frequency bands and regulation of vigilance. Pharmakopsychiatr Neuropsychopharmako.l. 1979, 12: 237-245.View ArticleGoogle Scholar
- Laufs H, Krakow K: Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. ProcNatl Acad Sci. USA. 2003, 100: 11053-11058. 10.1073/pnas.1831638100.View ArticleGoogle Scholar
- Laufs H, Kleinschmidt A: EEG-correlated fMRI of human alpha activity. NeuroImage. 2003, 19: 1463-1476. 10.1016/S1053-8119(03)00286-6.View ArticlePubMedGoogle Scholar
- Gamma A, Lehmann D: Comparison of simultaneously recorded [H2(15)O-PET and LORETA during cognitive and pharmacological activation. Hum Brain Mapp. 2004, 22: 83-96. 10.1002/hbm.20015.View ArticlePubMedGoogle Scholar
- Luu P, Tucker DM, Makeig S: Frontal midline theta and the err-related negativity: neurophysiological mechanisms of action regulation. Clin Neurophysiol. 2004, 115: 1821-1835. 10.1016/j.clinph.2004.03.031.View ArticlePubMedGoogle Scholar
- Mitchell DJ, McNaughton N, Flanagan D, Kirk IJ: Frontal-midline theta from the perspective of hippocampal “theta”. Prog Neurobiol. 2008, 86: 156-185. 10.1016/j.pneurobio.2008.09.005.View ArticlePubMedGoogle Scholar
- Yamada F: Frontal midline theta rhythm and eyeblinking activity during a VDT task and a video game: useful tools for psychophysiology in ergonomics. Ergonomics. 1998, 41: 678-688. 10.1080/001401398186847.View ArticlePubMedGoogle Scholar
- Smith ME, Gevins A: Monitoring task loading with multivariate EEG measures during complex forms of human-computer interaction. Hum Factors. 2001, 43: 366-380. 10.1518/001872001775898287.View ArticlePubMedGoogle Scholar
- Pellouchoud E, Smith ME: Mental effort-related EEG modulation during video game play: comparison between juvenile subjects with epilepsy and normal control subjects. Epilepsia. 1999, 40: 38-43.View ArticlePubMedGoogle Scholar
- Pascual-Marqui RD, Michel CM: Low-resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol. 1994, 18: 49-65. 10.1016/0167-8760(84)90014-X.View ArticlePubMedGoogle Scholar
- Pasqual-Marqui RD, Lehmann D: Low-resolution brain electromagnetic tomography (LORETA) functional imaging in acute, neuroleptic-naive, first-episode, productive schizophrenia. Psychiatry Res. 1999, 90: 169-179. 10.1016/S0925-4927(99)00013-X.View ArticleGoogle Scholar
- Haalman I, Vaadia E: Dynamics of neuronal interactions: relation to behavior, firing rates, and distance between neurons. Hum Brain Mapp. 1997, 5: 249-253. 10.1002/(SICI)1097-0193(1997)5:4<249::AID-HBM8>3.0.CO;2-3.View ArticlePubMedGoogle Scholar
- Menendez RGS, Andino SG: Noninvasive localization of electromagnetic epileptic activity. I. Method descriptions and simulations. Brain Topogr. 2001, 14: 131-137. 10.1023/A:1012944913650.View ArticleGoogle Scholar
- Pasqual-Marqui RD, Esslen M: Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review. Methods Find Exp Clin Pharmacol. 2002, 24: 91-95.Google Scholar
- Phillips C, Rugg MD: Anatomically informed basis functions for EEG source localization: combining functional and anatomical constrains. NeuroImage. 2002, 16: 678-695. 10.1006/nimg.2002.1143.View ArticlePubMedGoogle Scholar
- Esslen M, Pascual-Marqui RD: Brain areas and time course of emotional processing. NeuroImage. 2004, 21: 1189-1203. 10.1016/j.neuroimage.2003.10.001.View ArticlePubMedGoogle Scholar
- Vittacco D, Brandeis D: Correspondence of event-related potential tomography and functional magnetic resonance imaging during language processing. Hum Brain Mapp. 2002, 17: 4-12. 10.1002/hbm.10038.View ArticleGoogle Scholar
- Zumsteg D, Wennberg RA: H2(15)O or 13NH3 PET and electromagnetic tomography (LORETA) during partial status epilepticus. Neurology. 2005, 65: 1657-1660. 10.1212/01.wnl.0000184516.32369.1a.View ArticlePubMedGoogle Scholar
- Nichols TE, Holmes AP: Nonparametric Permutation Tests for Functional Neuroimaging: A Primer with Examples. Hum Brain Mapp. 2002, 15: 1-25. 10.1002/hbm.1058.View ArticlePubMedGoogle Scholar
- Biocca F, Delany B: Immersive virtual reality technology. Communication in the age of virtual reality. Edited by: Biocca F, Levy M. 1995, Lawrence Erlbaum, Hillsdale, NJ, 15-32.Google Scholar
- Gron G, Wunderlich AP: Brain activation during human navigation: gender-different neural networks as substrate of performance. National Neuroscience. 2000, 3: 404-408. 10.1038/73980.View ArticleGoogle Scholar
- Jordan K, Schadow J: Different cortical activations for subjects using allocentric or egocentric strategies in a virtual navigation task. Neuroreport. 2004, 15: 135-140. 10.1097/00001756-200401190-00026.View ArticlePubMedGoogle Scholar
- Koechlin E, Ody C: The architecture of cognitive control in the human prefrontal cortex. Science. 2003, 302: 1181-1185. 10.1126/science.1088545.View ArticlePubMedGoogle Scholar
- Ridderinkhof KR, Ullsperger M: The role of the medial frontal cortex in cognitive control. Science. 2004, 306: 443-447. 10.1126/science.1100301.View ArticlePubMedGoogle Scholar
- Knoch D, Gianotti LR: Disruption of right prefrontal cortex by low-frequency repetitive transcranial magnetic stimulation induces risk-taking behavio. J Neurosci. 2006, 26: 6469-6472. 10.1523/JNEUROSCI.0804-06.2006.View ArticlePubMedGoogle Scholar
- Knoch D, Pascual-Leone A: Diminishing reciprocal fairness by disrupting the right prefrontal cortex. Science. 2006, 314: 829-832. 10.1126/science.1129156.View ArticlePubMedGoogle Scholar
- Koechlin E, Hyafil A: Anterior prefrontal function and the limits of human decision-making. Science. 2007, 318: 594-598. 10.1126/science.1142995.View ArticlePubMedGoogle Scholar
- Wood JN, Grafman J: Human prefrontal cortex: Processing and representational perspectives. Nat Rev Neurosci. 2003, 4: 139-147. 10.1038/nrn1033.View ArticlePubMedGoogle Scholar
- Knoch D: Funktionelle Hemispharenasymmetrie der selbstkontrolle. Z Neuropsychol. 2007, 18: 183-192. 10.1024/1016-264X.18.3.183.View ArticleGoogle Scholar
- Makin TR, Holmes NP: Is that near my hand? Multisensory representation of peripersonal space in human intraparietal sulcus. J Neurosci. 2007, 27: 731-740. 10.1523/JNEUROSCI.3653-06.2007.View ArticlePubMedGoogle Scholar
- Gallese V: Embodied simulation: from neurons to phenomenal experience. Phenomenol Cogn Sci. 2005, 4: 22-48.View ArticleGoogle Scholar
- Jeannerod M, Arbib MA: Grasping objects: the cortical mechanisms of visuomotor transformation. Trends Neurosci. 1995, 18: 314-320. 10.1016/0166-2236(95)93921-J.View ArticlePubMedGoogle Scholar
- van Baren J, IJsselsteijn WA: Measuring presence: A guide to current measurement approaches. Deliverable 5. 2004, FET OMNIPRES Project, , ISTGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.