e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions

Daniela Dal Fabbro, Giulia Catissi, Gustavo Borba, Luciano Lima, Erika Hingst-Zaher, João Rosa, Elivane Victor, Letícia Bernardes, Tinely Souza, Eliseth Leão, Daniela Dal Fabbro, Giulia Catissi, Gustavo Borba, Luciano Lima, Erika Hingst-Zaher, João Rosa, Elivane Victor, Letícia Bernardes, Tinely Souza, Eliseth Leão

Abstract

Affectively rated image databases have their main application in studies that require inducing distinct stimuli on subjects. Widespread databases are designed to cover a broad range of stimuli, from negative to positive (valence), and relaxed to excited (arousal). The availability of narrow domain databases, designed to cover and thoroughly analyze a few categories of images that induce a particular stimulus, is limited. We present a narrow domain affective database with positive images, named e-Nature Positive Emotions Photography Database (e-NatPOEM), consisting of 433 high-quality images produced by professional and amateur photographers. A total of 739 participants evaluated them using a web-based tool to input valence-arousal values and a single word describing the evoked feeling. Ratings per image ranged from 36 to 108, median: 57; first/third quartiles: 56/59. 84% of the images presented valence > middle of the scale and arousal < middle of the scale. Words describing the images were classified into semantical groups, being predominant: Peace/tranquility (39% of all words), Beauty (23%), and Positive states (15%). e-NatPOEM is free and publicly available, it is a valid resource for affective research, and presents the potential for clinical use to assist positive emotions promotion.

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Screenshot showing the digital self-assessment tool designed for rating pictorial stimuli. Participants assigned valence (ranging from very unhappy to very happy) and arousal (ranging from very relaxed to very excited) ratings using the continuous sliders. Portuguese version only, assessments were provided by Brazilian participants.
Figure 2
Figure 2
e-NatPOEM valence and arousal ratings by image category (n = 27,389).
Figure 3
Figure 3
Affective space of the e-NatPOEM (including control images) with the estimated mean ratings of valence and arousal for each image. The affective spaces of the IAPS and NAPS databases are also presented, for comparison.
Figure 4
Figure 4
Affective spaces with the estimated mean ratings of valence and arousal for the e-NatPOEM images, by category.

References

    1. Barton J, Pretty J. Urban ecology and human health and wellbeing. In: Gaston K, editor. Urban Ecology. Cambridge University Press; 2010. pp. 202–229.
    1. van den Berg AE, Hartig T, Staats H. Preference for nature in urbanized societies: Stress, restoration, and the pursuit of sustainability. J. Soc. Issues. 2007;63:79–96. doi: 10.1111/j.1540-4560.2007.00497.x.
    1. Kivimäki M, Steptoe A. Effects of stress on the development and progression of cardiovascular disease. Nat. Rev. Cardiol. 2018;15:215–229. doi: 10.1038/nrcardio.2017.189.
    1. Tomiyama AJ. Stress and obesity. Annu. Rev. Psychol. 2019;70:703–718. doi: 10.1146/annurev-psych-010418-102936.
    1. Petrelli F, Scuri S, Tanzi E, Nguyen C, Grappasonni I. Public health and burnout: A survey on lifestyle changes among workers in the healthcare sector. Acta Biomed. 2018;90:24–30.
    1. Joye Y, van den Berg AE. Is love for green in our genes? A critical analysis of evolutionary assumptions in restorative environments research. Urban. For. Urban. Green. 2011;10:261–268. doi: 10.1016/j.ufug.2011.07.004.
    1. Frumkin H. Beyond toxicity: Human health and the natural environment. Am. J. Prev. Med. 2001;20:234–240. doi: 10.1016/S0749-3797(00)00317-2.
    1. Keniger LE, Gaston KJ, Irvine KN, Fuller RA. What are the benefits of interacting with nature? Int. J. Environ. Res. Public. Health. 2013;10:913–935. doi: 10.3390/ijerph10030913.
    1. Wilson EO. Biophilia: The Human Bond with Other Species. Cambridge University Press; 1984.
    1. Grinde B, Patil GG. Biophilia: Does visual contact with nature impact on health and well-being? Int. J. Environ. Res. Public. Health. 2009;6:2332–2343. doi: 10.3390/ijerph6092332.
    1. Van den Berg AE, Maas J, Verheij RA, Groenewegen PP. Green space as a buffer between stressful life events and health. Soc. Sci. Med. 2010;70:1203–1210. doi: 10.1016/j.socscimed.2010.01.002.
    1. Frumkin H, et al. Nature contact and human health: A research agenda. Environ. Health Perspect. 2017 doi: 10.1289/EHP1663.
    1. World Health Assembly. First World Health Assembly, Geneva 24 June to 24 July 1948: plenary meetings: verbatim records: main committees: summary of resolutions and decisions. World Health Organization. (2013).
    1. Scherer KR. What are emotions? And how can they be measured? Soc. Sci. Inf. 2005;44:695–729. doi: 10.1177/0539018405058216.
    1. Fredrickson BL. The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. Am. Psychol. 2001;56:218–226. doi: 10.1037/0003-066X.56.3.218.
    1. Irvine KN, Warber SL, Devine-Wright P, Gaston KJ. Understanding urban green space as a health resource: A qualitative comparison of visit motivation and derived effects among park users in Sheffield, UK. Int. J. Environ. Res. Public Health. 2012;10:417–442. doi: 10.3390/ijerph10010417.
    1. Ulrich RS. View through a window may influence recovery from surgery. Science. 1984;224:420–421. doi: 10.1126/science.6143402.
    1. Sky Factory Inc. Sky Factory eScape™. (2020).
    1. Lembo T, et al. Audio and visual stimulation reduces patient discomfort during screening flexible sigmoidoscopy. Am. J. Gastroenterol. 1998;93:1113–1116. doi: 10.1111/j.1572-0241.1998.00339.x.
    1. Miller AC, Hickman LC, Lemasters GK. A distraction technique for control of burn pain. J. Burn Care Rehabil. 1992;13:576–580. doi: 10.1097/00004630-199209000-00012.
    1. Drahota A, et al. Sensory environment on health-related outcomes of hospital patients. Cochrane Database Syst. Rev. 2012 doi: 10.1002/14651858.CD005315.pub2.
    1. Bradley MM, Lang PJ. The international affective picture system (IAPS) in the study of emotion and attention. In: Coan JA, Allen JJB, editors. Handbook of Emotion Elicitation and Assessment. Oxford University Press; 2007. pp. 29–46.
    1. Lang, P. J., Bradley, M. M., & Cuthbert, B. N. International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical Report A-8. University of Florida, Gainesville, FL (2008).
    1. Marchewka A, Żurawski Ł, Jednoróg K, Grabowska A. The Nencki affective picture system (NAPS): Introduction to a novel, standardized, wide-range, high-quality, realistic picture database. Behav. Res. Methods. 2014;46:596–610. doi: 10.3758/s13428-013-0379-1.
    1. Dan-Glauser ES, Scherer KR. The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance. Behav. Res. Methods. 2011;43:468. doi: 10.3758/s13428-011-0064-1.
    1. Wessa M, et al. EmoPics: subjektive und psychophysiologische evaluation neuen bildmaterials für die klinisch-bio-psychologische forschung [EmoPics: subjective and psychophysiological evaluation of new image material for clinical- bio- psychological research] Z. Klin. Psychol. Psychother. 2010;39:77. doi: 10.1026/1616-3443/a000036.
    1. Kurdi B, Lozano S, Banaji MR. Introducing the open affective standardized image set (OASIS) Behav. Res. Methods. 2017;49:457–470. doi: 10.3758/s13428-016-0715-3.
    1. Miccoli L, et al. Meet OLAF, a good friend of the IAPS! The open library of affective foods: A tool to investigate the emotional impact of food in adolescents. PLoS ONE. 2014;9:e114515. doi: 10.1371/journal.pone.0114515.
    1. Miccoli L, et al. Affective pictures and the open library of affective foods (OLAF): Tools to investigate emotions toward food in adults. PLoS ONE. 2016;11:e0158991. doi: 10.1371/journal.pone.0158991.
    1. Goodman AM, Katz JS, Dretsch MN. Military affective picture system (MAPS): A new emotion-based stimuli set for assessing emotional processing in military populations. J. Behav. Ther. Exp. Psychiatry. 2016;50:152–161. doi: 10.1016/j.jbtep.2015.07.006.
    1. Haberkamp A, Glombiewski JA, Schmidt F, Barke A. The disgust-related-images (DIRTI) database: Validation of a novel standardized set of disgust pictures. Behav. Res. Ther. 2017;89:86–94. doi: 10.1016/j.brat.2016.11.010.
    1. Kuppens P, Tuerlinckx F, Russell JA, Barrett LF. The relation between valence and arousal in subjective experience. Psychol. Bull. 2013;139:917–940. doi: 10.1037/a0030811.
    1. Bhattacharya S, Sukthankar R, Shah M. A framework for photo-quality assessment and enhancement based on visual aesthetics. Proc. 18th ACM Int. Conf. Multimed. 2010;271:280. doi: 10.1145/1873951.1873990.
    1. Liu L, Chen R, Cohen-Or & D Optimizing photo composition. Comput. Graph. Forum. 2010;29:469–478. doi: 10.1111/j.1467-8659.2009.01616.x.
    1. Arbabi S. The Complete Guide to Nature Photography: Professional Techniques for Capturing Digital Images of Nature and Wildlife. Amphoto Books; 2011.
    1. Hunter F, Biver S, Fuqua P. Light Science & Magic: An Introduction to Photographic Lighting. Routledge; 2015.
    1. Wilms L, Oberfeld D. Color and emotion: Effects of hue, saturation, and brightness. Psychol. Res. 2018;82:896–914. doi: 10.1007/s00426-017-0880-8.
    1. Bradley MM, Lang PJ. Measuring emotion: The self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry. 1994;25:49–59. doi: 10.1016/0005-7916(94)90063-9.
    1. Betella A, Verschure PFMJ. The affective slider: a digital self-assessment scale for the measurement of human emotions. PLoS ONE. 2016;11:e0148037. doi: 10.1371/journal.pone.0148037.
    1. Mehrabian A, Russell JA. An Approach to Environmental Psychology. MIT Press; 1974.
    1. Altman DG. Practical Statistics for Medical Research. CRC Press; 1991.
    1. Liang K-Y, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73:13–22. doi: 10.1093/biomet/73.1.13.
    1. Faraway JJ. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Chapman and Hall/CRC; 2005.
    1. Højsgaard S, Halekoh U, Yan J. The R Package geepack for generalized estimating equations. J. Stat. Softw. 2006;15:1–11.
    1. R Core Team . R Foundation for Statistical Computing. Austria: Vienna; 2020.
    1. Denzin NK. The Research Act: A Theoretical Introduction to Sociological Methods. Routledge; 2009.
    1. Obrador P, Schmidt-Hackenberg L, Oliver N. The role of image composition in image aesthetics. IEEE Int. Conf. Image Process. 2010 doi: 10.1109/ICIP.2010.5654231.
    1. Diessner R, Steiner P. Interventions to increase trait appreciation of beauty. Indian J. Posit. Psychol. 2017;8:401–406.
    1. Olofsson JK, Nordin S, Sequeira H, Polich J. Affective picture processing: An integrative review of ERP findings. Biol. Psychol. 2008;77:247–265. doi: 10.1016/j.biopsycho.2007.11.006.
    1. Deng Y, Loy CC, Tang X. Image aesthetic assessment: An experimental survey. IEEE Signal Process. Mag. 2017;34:80–106. doi: 10.1109/MSP.2017.2696576.
    1. Tribot AS, Deter J, Mouquet N. Integrating the aesthetic value of Landscapes and biological diversity. Proc. R. Society B Biol. Sci. 2018;285:20180971. doi: 10.1098/rspb.2018.0971.
    1. Vessel EA, Maurer N, Denker AH, Starr GG. Stronger shared taste for natural aesthetic domains than for artifacts of human culture. Cognition. 2018;179:121–131. doi: 10.1016/j.cognition.2018.06.009.
    1. Nettleton S. Fell runners and walking walls: Towards a sociology of living Landscapes and aesthetic atmospheres as an alternative to a Lakeland picturesque. Br. J. Sociol. 2015;66:759–778. doi: 10.1111/1468-4446.12146.
    1. Schindler I, et al. Measuring aesthetic emotions: A review of the literature and a new assessment tool. PLoS ONE. 2017;12:e0178899. doi: 10.1371/journal.pone.0178899.
    1. Zhang JW, Howell RT, Iyer R. Engagement with natural beauty moderates the positive relation between connectedness with nature and psychological well-being. J. Environ. Psychol. 2014;38:55–63. doi: 10.1016/j.jenvp.2013.12.013.
    1. Diessner R, Woodward D, Stacy S, Mobasher S. Ten once-a-week brief beauty walks increase appreciation of natural beauty. Ecopsychology. 2015;7:126–133. doi: 10.1089/eco.2015.0001.
    1. Brielmann AA, Pelli DG. Beauty requires thought. Curr. Biol. 2017;27:1506–1513. doi: 10.1016/j.cub.2017.04.018.
    1. Brielmann AA, Vale L, Pelli DG. Beauty at a glance: The feeling of beauty and the amplitude of pleasure are independent of stimulus duration. J. Vision. 2017 doi: 10.1167/17.14.9.
    1. Nittono H, Fukushima M, Yano A, Moriya H. The power of Kawaii: Viewing cute images promotes a careful behavior and narrows attentional focus. PLoS ONE. 2012;7:e46362. doi: 10.1371/journal.pone.0046362.

Source: PubMed

3
Subscribe