- Primary research
- Open Access
Assessment of the emotional responses produced by exposure to real food, virtual food and photographs of food in patients affected by eating disorders
© Gorini et al; licensee BioMed Central Ltd. 2010
Received: 2 February 2010
Accepted: 5 July 2010
Published: 5 July 2010
Many researchers and clinicians have proposed using virtual reality (VR) in adjunct to in vivo exposure therapy to provide an innovative form of exposure to patients suffering from different psychological disorders. The rationale behind the 'virtual approach' is that real and virtual exposures elicit a comparable emotional reaction in subjects, even if, to date, there are no experimental data that directly compare these two conditions. To test whether virtual stimuli are as effective as real stimuli, and more effective than photographs in the anxiety induction process, we tested the emotional reactions to real food (RF), virtual reality (VR) food and photographs (PH) of food in two samples of patients affected, respectively, by anorexia (AN) and bulimia nervosa (BN) compared to a group of healthy subjects. The two main hypotheses were the following: (a) the virtual exposure elicits emotional responses comparable to those produced by the real exposure; (b) the sense of presence induced by the VR immersion makes the virtual experience more ecological, and consequently more effective than static pictures in producing emotional responses in humans.
In total, 10 AN, 10 BN and 10 healthy control subjects (CTR) were randomly exposed to three experimental conditions: RF, PH, and VR while their psychological (Stait Anxiety Inventory (STAI-S) and visual analogue scale for anxiety (VAS-A)) and physiological (heart rate, respiration rate, and skin conductance) responses were recorded.
RF and VR induced a comparable emotional reaction in patients higher than the one elicited by the PH condition. We also found a significant effect in the subjects' degree of presence experienced in the VR condition about their level of perceived anxiety (STAI-S and VAS-A): the higher the sense of presence, the stronger the level of anxiety.
Even though preliminary, the present data show that VR is more effective than PH in eliciting emotional responses similar to those expected in real life situations. More generally, the present study suggests the potential of VR in a variety of experimental, training and clinical contexts, being its range of possibilities extremely wide and customizable. In particular, in a psychological perspective based on a cognitive behavioral approach, the use of VR enables the provision of specific contexts to help patients to cope with their diseases thanks to an easily controlled stimulation.
In the last few years there have been many attempts to treat mental disorders using virtual reality (VR), an innovative technique that allows patients to virtually experience critical situations (for example, exposure to a phobic stimulus) in a very safe environment while under the direct supervision of their therapists (for recent reviews see [1–3]). Following a cognitive behavioral-based approach, therapists can take advantage of interactivity and flexibility offered by virtual environments to measure and monitor a wide variety of patients' responses in real time, overcoming the limitations usually encountered during the in vivo exposure. Differently from what happens in real life settings, virtual environments can be tailored to the patients' needs and/or to therapeutic scopes in order to create specific and highly controlled exposure settings. Moreover, compared to the most used therapeutic approaches, such as guided imagination or exposure to photographic materials, VR allows subjects to interact and manipulate 3 D environments, mimicking interaction with objects in the real world. This experience increases the ecological validity of the simulated environment and enhances the 'sense of presence', defined as 'the user's sense of "being there" in the virtual environment' , or 'a perceptual illusion of non-mediation' . In other words, the sense of presence is what happens when users 'forget' that their perceptions are mediated by technologies, feeling part of the virtual world 'as it was real' . Through the increasing of the sense of presence, patients experience vivid real-life recreations that offer them contextual cues and facilitate generalization [7–9].
Today there is a growing recognition that VR may play an important role in clinical psychology, being a valid alternative to real-life exposure. However, the 'virtual approach' can be accepted only if real and virtual exposures elicit a comparable emotional response in subjects . In order to verify whether virtual stimuli are as effective as real ones, and more powerful than static photographs, we assessed the emotional responses to real food (RF), virtual reality (VR) foods and photographs of food (PH) in two samples of patients affected, respectively, by anorexia (AN) and bulimia nervosa (BN), and in a sample of healthy controls (CTR). The reason why we chose food exposure is that, in addition to other situations of equal or more importance, it is one of the most typical conditions that provokes an emotional response in patients affected by eating disorders (ED) [11–14].
Various studies have used virtual stimuli instead of real ones to assess and treat eating behaviors in ED patients [15, 16], but the first systematic attempts to evaluate the usefulness of virtual environments in provoking emotional reactions in such patients were carried out by Ferrer-Garcia et al. and Gutierrez-Maldonado et al. [17, 18]. They created six virtual environments representing situations that are emotionally significant to subjects with eating disorders, and measured the level of state anxiety and depression in participants after exposure to each of them concluding that, upon simulation of real-life stressful situations, these environments are effective in producing significant emotional reactions in their users. Using a similar approach, but comparing the virtual stimuli directly with the real ones, and with their correspondent pictures, we wanted to test the psychological and physiological reactions to food in a sample of ED patients (half anorexic and half bulimic) and healthy controls. The two main hypotheses of the study were the following: (1) that the virtual exposure elicits emotional responses comparable to those produced by the real exposure, and (2) the sense of presence induced by the VR immersion makes the virtual experience more ecological, and consequently more effective than static pictures in producing emotional responses in humans.
Age and body mass index (BMI) averages of control (CTR) and eating disorder (ED) groups
Control (N = 10)
ED (AN) (N = 10)
ED (BN) (N = 10)
Eating Disorders Inventory 2 (EDI-2) averages of anorexia (AN) and bulimia nervosa (BN) groups
AN, mean (SD)
BN, mean (SD)
Drive for thinness
Subjects who gave their written informed consent to participate were included in the study. When participants were under 18, informed consent was obtained from their parents.
The following questionnaires were administered to the participants before the experiment.
EDI-2 , a self-report questionnaire that provides clinical information regarding the psychological and behavioral dimensions usually associated with anorexia and bulimia nervosa.
Stait Anxiety Inventory (STAI-S)
The STAI-S was initially conceived as a research instrument for the study of anxiety in adults. According to the author, state anxiety reflects a 'transitory emotional state or condition of the human organism that is characterized by subjective, consciously perceived feelings of tension and apprehension, and heightened autonomic nervous system activity'. State anxiety may fluctuate over time and can vary in intensity, in contrast with the trait anxiety that denotes 'relatively stable individual differences in anxiety proneness...' and refers to a general tendency to respond with anxiety to perceived threats in the environment . Scores on the STAI-S have a direct interpretation: high scores mean more state anxiety and low scores mean less.
Visual analogue scale for anxiety (VAS-A)
The VAS-A  is a 100 mm vertical line with end points anchored as no anxiety at the bottom of the scale and anxiety as bad as it could possibly be at the top; scores range from 0 to 10. Among the numerous tools available for assessing anxiety, direct scaling procedures, such as the VAS, are popular because of their simplicity, versatility, relative insensitivity to bias effects, and the assumption that the procedures yield numerical values that are valid, reliable, and on a ratio scale [23–25].
ITC-Sense of Presence Inventory (ITC-SOPI)
The ITC-SOPI  is a validated questionnaire focusing on users' experiences of virtual reality (and media, in general) that evaluates the degree to which the subject experienced the 'sense of being in the virtual environment', how far the virtual environment was the dominant reality, and how far it is recalled as a 'place'.
The Biograph Infiniti (Thought Technology Ltd, New York, USA) biofeedback equipment was used to measure the heart rate (HR) and respiration rate (RESP), and the skin conductance (SCR) of subjects before (baseline) and during exposure to food.
All subjects were presented to the following three conditions, outlined below.
Condition 1: real food view (RF)
Condition 2: photograph slide show (PH)
A slideshow presentation including the photographs of the same six foods presented in the RF condition was presented on a computer screen. The presentation time and the interval between the different pictures were the same used in the RF condition. During the 30 s pauses a picture of the red lid covering a hidden food appeared on the screen.
Condition 3: virtual reality (VR) immersive condition
The order of presentation of each experimental condition, as well as the order of appearance of each food within the different conditions, was counterbalanced for each participant following a previously established randomization schema obtained from http://www.randomizer.org/.
All subjects were tested at least 2 h after a meal in order to avoid effects related to excessive hunger or overeating.
Before the RF and PH conditions there was a 3 min baseline during which subjects were asked to stay completely relaxed, while their physiological parameters were recorded. Because in the VR condition subjects used their right hand (all participants were right handed) to move inside the environment using a joystick, in order to control the hand movement, the baseline for the VR condition was recorded during a virtual navigation through an empty neutral space.
Several within-subject repeated measure analysis of variance (ANOVA) tests were performed separately in each of the three groups of subjects to calculate the effects of exposure to the different kinds of food (real, photograph, and virtual) compared to the baseline. Then, the differences between each dependent variable measured after the exposure to food and the correspondent baseline were calculated. In the case of physiological measurements we calculated the differences between the mean values of HR, SCR and RESP recorded during the exposure and the mean values obtained from the correspondent 3 min baselines. These values were used to conduct several 3 × 3 repeated measure ANOVA tests in order to test whether participants' psychological and physiological responses changed depending on the kind of exposure (real food, pictures of food or virtual food), and the group (AN, BN or CTR). Finally, we calculated if symptoms severity, and the degree of presence experienced in the VR condition influenced the subjects' responses.
Within-subject repeated measure analysis of variance (ANOVA) tests comparing the effects of different types of food presentation (real food (RF), photographs (PH), virtual reality (VR)) on psychological and physiological responses of anorexia (AN), bulimia nervosa (BN) and control (CTR) subjects compared to the baseline (only significant values are reported)
Variations in psychological responses depending on the kind of exposure in patients and controls
Repeated measures ANOVA tests were conducted in order to test whether the responses to the STAI-S and the VAS-A changed depending on the presentation condition (RF, PH, VR), and the group (AN, BN or CTR).
Variations in physiological responses depending on the kind of exposure in patients and controls
Repeated measures ANOVA tests (3 (conditions) × 3 (groups)) were also conducted in order to test whether HR, SCR, and RESP changed depending on the presentation condition (RF, PH, VR), and the group (AN, BN or CTR without ED).
No significant effects were found analyzing the RESP responses in any of the experimental group.
Finally, we investigated if the degree of presence experienced in the VR condition and measured with the ITC-SOPI questionnaire, and symptoms severity, assessed with the EDI-2 influenced the patients' emotional responses. As suggested by Gutierrez-Maldonado et al. , we divided the ED samples (AN and BN) into quartiles and selected the first (25% with the lowest scores on the ITC-SOPI) and the fourth (25% with the highest scores). A simple effect of the degree of presence on the STAI-S (F = 2.80, P < 0.05) and the VAS-A (F = 2.51, P < 0.05) was found. However, we did not find any significant effect of the EDI-2 score on patient emotional reactivity.
This preliminary study was aimed at testing the theoretical assumption that a virtual experience elicits emotional responses comparable to those produced by real exposure. In addition, we also assumed that the sense of presence induced by the VR immersion makes the virtual experience more realistic, and consequently more effective than static pictures, in producing emotional responses in humans. In accordance with the first hypothesis, our data show that virtual food is as effective as real food, and more effective than photographs of food, in producing psychological and physiological responses in patients with ED, suggesting a possible advantage of using virtual stimuli instead of static pictures as an alternative to real stimuli to induce emotional reactions in subjects. This finding appears to be not specifically related to the diagnosis (AN or BN), as suggested by the fact that there were no significant differences in the emotional response recorded between the two groups of patients. Not even the severity of illness seems to influence the patients' reactions, as subjects with a mild, moderate or severe eating disorder did not significantly differ in their emotional responses to real or virtual food. However, we did not find any significant variation in the controls' emotional reactions in any of the experimental conditions. This is not surprising because, as happens in real life, food does not represent a stressful stimulus for healthy people.
Regarding our second hypothesis, we found an effect of subjects' degree of presence experienced in the VR condition on their level of perceived anxiety (STAI-S and VAS-A): the higher the sense of presence, the higher the level of anxiety. The sense of presence in virtual reality is defined as 'the participant's sense of "being there" in the virtual environment'  and it is obtained through two factors: immersion and interaction. Immersion is provided by the use of technological devices such as HMDs that permit a 3 D experience, while interaction is the possibility given to the users to interact in real time with the virtual environment. The higher the sense of presence, the more realistic the virtual experience, and more intense the emotional involvement. Immersion and interaction are the key distinctive factors that make the difference between the VR and the PH conditions. In the latter, subjects can only passively observe static pictures, while in the VR condition they can actively explore the environment, approach the food and virtually touch it, as they would do in real-life situations. We argue that the effectiveness of virtual and real stimulations is the reason why both psychological (STAI-S, and VAS-A) and physiological (HR and SCR) responses appear to be consistently higher in the RF and VR than in the PH condition. Thus, this result showing a similar pattern of psychological and physiological responses is rather new considering that, to date, there have been many studies that separately investigated psychological or physiological responses during VR exposure, but only few assessing the effects of stressors presented in a virtual environment on the subjective and objective response of anxiety [28, 29]. Regarding the general lack of significant variations on respiration, we hypothesize that it may be due to the fact that only respiration rate was assessed and not tidal volume, and anxiety mainly affects tidal volume rather than rate .
To date, despite the large amount of data demonstrating the efficacy of VR-based approaches for the treatment of different psychological disorders , none of the previous work had directly investigated if the exposure to virtual stimuli is able to elicit emotional reactions similar to those elicited by real-life exposure, which is the added value of using VR instead of simple static pictures. Even though it was accomplished on only two small samples of ED patients, these preliminary data encourage the use of VR in clinical (exposure therapy) and even non-clinical (task learning) settings in which a highly customizable and controllable stimulation is preferred to a real-life one. Additionally, our data emphasize the role of presence in the emotional processes, proving that, even if definitively more expensive, VR is preferable to static images for generating affective responses in humans. So, in accord with the previous studies [17, 18], the present research adds some evidence that virtual stimuli can be used instead of the real ones to elicit patients' emotions.
Despite the clearness of the present findings, this study has some important limitations. First, the small number of subjects per group makes us cautious about the generalization of the results. A future randomized controlled study including a larger sample will address this issue. Second, in the VR condition subjects were exposed to virtual food in a virtual restaurant, while in the other two conditions they were exposed to food only. A restaurant is a broader stimulus than food because it elicits a complex context possibly inducing a greater level of anxiety than food alone, and also other fears, not strictly or necessarily related to food (for example, agoraphobia). In order to control this aspect in future studies, virtual food could be presented in neutral virtual environments not specifically related to eating contexts. Thus, even if considered a limitation in the present study, the possibility to measure subjects' reactions in a complex virtual environment is a great advantage offered by virtual reality, with poor feasibility for testing the subjects' responses in a real complex environment such as a restaurant.
In conclusion, though preliminary, the present data show that virtual stimuli are as effective as real ones, and more effective than static pictures, in generating emotional responses in ED patients. Unlike exposure to photographs, in vivo exposure and guided imagination, VR offers a good ecological validity, and also a fair internal validity, while allowing strict control over the variables. More generally, the present results provide initial evidence of the potential of VR in a variety of experimental, training and clinical contexts, its range of possibilities being extremely wide and customizable. In particular, in a therapeutic perspective based on a cognitive behavioral approach, the use of VR instead of real stimuli facilitates the provision of very specific contexts to help patients to cope with their conditions through a very controlled stimulation. At the same time, the results of the present study indicate that even very low cost VR software like NeuroVR can be used to screen, evaluate, and eventually treat the emotional reactions provoked by specific stimuli in patients affected by psychological conditions.
The authors would like to thank Professor Laura Bellodi from Università Vita-Salute San Raffaele (Milan, Italy) for her help in the protocol preparation.
- Pull CB: Recent trends in the study of specific phobias. Curr Opin Psychiatry. 2008, 21: 43-50. 10.1097/YCO.0b013e3282f30086.View ArticlePubMedGoogle Scholar
- Gorini A, Riva G: Virtual reality in anxiety disorders: the past and the future. Expert Rev Neurother. 2008, 8: 215-233. 10.1586/14737126.96.36.199.View ArticlePubMedGoogle Scholar
- Gregg L, Tarrier N: Virtual reality in mental health: a review of the literature. Soc Psychiatry Psychiatr Epidemiol. 2007, 42: 343-354. 10.1007/s00127-007-0173-4.View ArticlePubMedGoogle Scholar
- Barfield W, Zeltzer D, Sheridan TB, Slater M: Virtual environments and advance interface design. Presence and performance within virtual environments. 1995, Oxford, UK: Oxford University Press, 473-541.Google Scholar
- Lombard M, Ditton T: At the heart of it all: the concept of presence. J Comp Mediat Comm. 1997, 3:Google Scholar
- Slater M, Steed A, McCarthy J, Maringelli F: The influence of body movement on subjective presence in virtual environments. Human Factors. 1998, 40: 469-477. 10.1518/001872098779591368.View ArticlePubMedGoogle Scholar
- Botella C, Quero S, Banos RM, Perpina C, Garcia Palacios A, Riva G: Virtual reality and psychotherapy. Stud Health Technol Inform. 2004, 99: 37-54.PubMedGoogle Scholar
- Vincelli F: From imagination to virtual reality: the future of clinical psychology. Cyberpsychol Behav. 1999, 2: 241-248. 10.1089/cpb.1999.2.241.View ArticlePubMedGoogle Scholar
- Bordnick PS, Graap KM, Copp H, Brooks J, Ferrer M, Logue B: Utilizing virtual reality to standardize nicotine craving research: a pilot study. Addict Behav. 2004, 29: 1889-1894. 10.1016/j.addbeh.2004.06.008.View ArticlePubMedGoogle Scholar
- Slater M, Pertaub DP, Barker C, Clark DM: An experimental study on fear of public speaking using a virtual environment. Cyberpsychol Behav. 2006, 9: 627-633. 10.1089/cpb.2006.9.627.View ArticlePubMedGoogle Scholar
- Carter FA, Bulik CM, McIntosh VV, Joyce PR: Cue reactivity as a predictor of outcome with bulimia nervosa. Int J Eat Disord. 2002, 31: 240-250. 10.1002/eat.10041.View ArticlePubMedGoogle Scholar
- Toro J, Cervera M, Feliu MH, Garriga N, Jou M, Martinez E, Toro E: Cue exposure in the treatment of resistant bulimia nervosa. Int J Eat Disord. 2003, 34: 227-234. 10.1002/eat.10186.View ArticlePubMedGoogle Scholar
- Gordon CM, Dougherty DD, Fischman AJ, Emans SJ, Grace E, Lamm R, Alpert NM, Majzoub JA, Rauch SL: Neural substrates of anorexia nervosa: a behavioral challenge study with positron emission tomography. J Pediatr. 2001, 139: 51-57. 10.1067/mpd.2001.114768.View ArticlePubMedGoogle Scholar
- Legenbauer T, Vogele C, Ruddel H: Anticipatory effects of food exposure in women diagnosed with bulimia nervosa. Appetite. 2004, 42: 33-40. 10.1016/S0195-6663(03)00114-4.View ArticlePubMedGoogle Scholar
- Nederkoorn C, Guerrieri R, Havermans RC, Roefs A, Jansen A: The interactive effect of hunger and impulsivity on food intake and purchase in a virtual supermarket. Int J Obes (Lond). 2009, 33: 905-912. 10.1038/ijo.2009.98.View ArticleGoogle Scholar
- Lozano JA, Alcaniz M, Gil JA, Moserrat C, Juan MC, Grau V, Varvaro H: Virtual food in virtual environments for the treatment of eating disorders. Stud Health Technol Inform. 2002, 85: 268-273.PubMedGoogle Scholar
- Gutierrez-Maldonado J, Ferrer-Garcia M, Caqueo-Urizar A, Letosa-Porta A: Assessment of emotional reactivity produced by exposure to virtual environments in patients with eating disorders. Cyberpsychol Behav. 2006, 9: 507-513. 10.1089/cpb.2006.9.507.View ArticlePubMedGoogle Scholar
- Ferrer-Garcia M, Gutierrez-Maldonado J, Caqueo-Urizar A, Moreno E: The validity of virtual environments for eliciting emotional responses in patients with eating disorders and in controls. Behav Mod. 2009, 33: 830-854.Google Scholar
- Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC: The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998, 59: 22-33.PubMedGoogle Scholar
- Garner DM: Eating Disorder Inventory-II. Adattamento italiano a cura di. Edited by: Rizzardi M, Trombini E, Trombini G. 1995, Firenze, Italy: Organizzazioni SpecialiGoogle Scholar
- Spielberger CD, Gorsuch RL, Lushene RE: Manual for the state-trait anxiety inventory. 1970, Palo Alto, CA, USA: Consulting Psychologists PressGoogle Scholar
- Gross J, Levenson RW: Emotion elicitation using films. Cognition Emotion. 1995, 9: 87-108. 10.1080/02699939508408966.View ArticleGoogle Scholar
- Abu-Saad H, Holzemer WL: Measuring children's selfassessment of pain. Iss Comp Pediatr Nurs. 1981, 5: 337-349. 10.3109/01460868109106349.View ArticleGoogle Scholar
- Price DD, McGrath PA, Rafii A: The validation of visual analogue scales as ratio scale measures for chronic and experimental pain. Pain. 1983, 17: 45-56. 10.1016/0304-3959(83)90126-4.View ArticlePubMedGoogle Scholar
- Reading AE: A comparison of pain rating scales. J Psychosom Res. 1980, 24: 119-124. 10.1016/0022-3999(80)90032-X.View ArticlePubMedGoogle Scholar
- Lessiter J, Freeman J, Keogh E, Davidoff JD: A cross-media presence questionnaire: the ITC sense of presence inventory. Presence Teleoperators Virtual Environments. 2001, 10: 282-297. 10.1162/105474601300343612.View ArticleGoogle Scholar
- Riva G, Gaggioli A, Villani D, Preziosa A, Morganti F, Corsi R, Faletti G, Vezzadini L: NeuroVR: an open source virtual reality platform for clinical psychology and behavioral neurosciences. Stud Health Technol Inform. 2007, 125: 394-399.PubMedGoogle Scholar
- Côté S, Bouchard S: Documenting the efficacy of virtual reality exposure with psychophysiological and information processing measures. Appl Psychophysiol Biofeedback. 2005, 30: 217-232. 10.1007/s10484-005-6379-x.View ArticlePubMedGoogle Scholar
- Walshe D, Lewis E, O'Sullivan K, Kim SI: Virtually driving: are the driving environments "real enough" for exposure therapy with accident victims? An explorative study. Cyberpsychol Behav. 2005, 8: 532-537. 10.1089/cpb.2005.8.532.View ArticlePubMedGoogle Scholar
- Martinez JM, Papp LA, Coplan JD, Anderson DE, Mueller CM, Klein DF, Gorman JM: Ambulatory monitoring of respiration in anxiety. Anxiety. 1996, 2: 296-302.PubMedGoogle 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.