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DOI: 10.14254/1795-6889.2024.20-3.12
Submitted: 2024-07-17
Published: 2024-12-19

Increasing energy awareness through effective advertising messages – a neurophysiological approach to engagement study

University of Szczecin
energy awareness social advertising engagement neurophysiological measurement EEG (Electroencephalography)

Abstract

The article presents the application of neurophysiological measurements to evaluate the effectiveness of advertising messages to increase energy awareness. The study focuses on two commercials promoting pro-ecological behaviors. The level of audience engagement was analyzed using the engagement index (EI), which was determined based on EEG studies. The results showed that appropriately designed scenes (surprising, humorous situations, longer rather than shorter ones, etc.) could increase engagement. Maintaining the upward trend in engagement, confirmed by the time analysis of EI, validated the alignment of the advertisement design with models of advertising impact on the audience. The study demonstrated that EEG is an effective tool for assessing audience reactions to advertisements, which can lead to more effective advertising campaigns promoting pro-ecological behaviors.

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References

  1. Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25(3), 273–291. https://doi.org/10.1016/j.jenvp.2005.08.002
  2. Akarsu, H., & Serdar, N. (2023). Advertising Engagement: Conceptualization, Scale Development and Validation. 26, 283–301. https://doi.org/10.14201/fjc.31217
  3. Asdrubali, F., & Desideri, U. (Eds.). (2019). Chapter 2—Policies, Recommendations and Standards (International Technical Standards, Main Laws and Regulations; EU Directives; Energy Labeling). In Handbook of Energy Efficiency in Buildings (pp. 5–73). Butterworth-Heinemann. https://doi.org/10.1016/B978-0-12-812817-6.00002-4
  4. Barry, T. E., & Howard, D. J. (1990). A Review and Critique of the Hierarchy of Effects in Advertising. International Journal of Advertising, 9, 121–135.
  5. Bermeo-Ayerbe, M. A., Ocampo-Martinez, C., & Diaz-Rozo, J. (2022). Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems. Energy, 238, 121691. https://doi.org/10.1016/j.energy.2021.121691
  6. Bird, S., & Legault, L. (2018). Feedback and Behavioral Intervention in Residential Energy and Resource Use: A Review. Current Sustainable/Renewable Energy Reports, 5(1), 116–126. https://doi.org/10.1007/s40518-018-0106-8
  7. Borawska, A., Łatuszyńska, M., & Borawski, M. (2023). Experimental studies of advertising message effectiveness in virtual reality. Human Technology, 19(3), 352–369. https://doi.org/10.14254/1795-6889.2023.19-3.3
  8. Cartocci, G., Modica, E., Rossi, D., Inguscio, B. M. S., Aricò, P., Martinez Levy, A. C., Mancini, M., Cherubino, P., & Babiloni, F. (2019). Antismoking Campaigns’ Perception and Gender Differences: A Comparison among EEG Indices. Computational Intelligence and Neuroscience, 2019, 1–9. https://doi.org/10.1155/2019/7348795
  9. Chakravarty, R., & Sarma, N. N. (2022). Evolutionary framework of hierarchy of effects models: Exploring relevance in the shifting of customer path. Vilakshan - XIMB Journal of Management, 19(1), 59–68. https://doi.org/10.1108/XJM-09-2020-0151
  10. Chen, Q., Hammond, G. P., & Norman, J. B. (2016). Energy efficiency potentials: Contrasting thermodynamic, technical and economic limits for organic Rankine cycles within UK industry. Applied Energy, 164, 984–990. https://doi.org/10.1016/j.apenergy.2015.06.046
  11. Chen, X. (2023). Analysis of Advertisement Strategies and Effectiveness Oatly as a Case Study. In Z. Zhan, F. P. Chew, & M. T. Anthony (Eds.), Proceedings of the 2022 International Conference on Science Education and Art Appreciation (SEAA 2022) (pp. 76–87). Atlantis Press SARL. https://doi.org/10.2991/978-2-494069-05-3_11
  12. Chen, Y., & Liu, Y. (2021). How biased technological progress sustainably improve the energy efficiency: An empirical research of manufacturing industry in China. Energy, 230, 120823. https://doi.org/10.1016/j.energy.2021.120823
  13. Coelli, S., Sclocco, R., Barbieri, R., Reni, G., Zucca, C., & Bianchi, A. M. (2015). EEG-based index for engagement level monitoring during sustained attention. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2015, 1512–1515. https://doi.org/10.1109/EMBC.2015.7318658
  14. Corcoran, A. W., Alday, P. M., Schlesewsky, M., & Bornkessel‐Schlesewsky, I. (2018). Toward a reliable, automated method of individual alpha frequency (IAF) quantification. Psychophysiology, 55(7), e13064. https://doi.org/10.1111/psyp.13064
  15. Creutzig, F., Jochem, P., Edelenbosch, O. Y., Mattauch, L., Vuuren, D. P. van, McCollum, D., & Minx, J. (2015). Transport: A roadblock to climate change mitigation? Science, 350(6263), 911–912. https://doi.org/10.1126/science.aac8033
  16. Cullen, J. M., Allwood, J. M., & Borgstein, E. H. (2011). Reducing Energy Demand: What Are the Practical Limits? Environmental Science & Technology, 45(4), 1711–1718. https://doi.org/10.1021/es102641n
  17. Dharti Narwani. (2023). Utilizing the AIDA Model for Effective YouTube Marketing: A Comprehensive Review. https://doi.org/10.13140/RG.2.2.36425.93284
  18. Drobyazko, S., Wijaya, S., Blecharz, P., Bogachov, S., & Pinskaya, M. (2021). Modeling of Prospects for the Development of Regional Renewable Energy. Energies, 14(8), Article 8. https://doi.org/10.3390/en14082221
  19. Edenhofer, O. (2015). Climate change 2014: Mitigation of climate change (Vol. 3). Cambridge University Press.
  20. Edson Escalas, J. (2004). Narrative Processing: Building Consumer Connections to Brands. Journal of Consumer Psychology, 14(1–2), 168–180. https://doi.org/10.1207/s15327663jcp1401&2_19
  21. Egede, E. A. (2013). Strategic Evaluation of How Advertising Works On Product Promotions. Developing Country Studies, 3, 139–148.
  22. Ehrhardt-Martinez, K., Donnelly, K. A., Laitner, S., & others. (2010). Advanced metering initiatives and residential feedback programs: A meta-review for household electricity-saving opportunities.
  23. Energa—Po prostu włącz. (2012). [Video recording]. https://www.youtube.com/watch?v=K-_CKkYw9NY
  24. Energy, E. & others. (2014). The potential for recovering and using surplus heat from industry. Department of Energy and Climate Change: London, UK.
  25. Energy Efficiency. (2019). Elsevier. https://doi.org/10.1016/C2016-0-02161-7
  26. European Commission. (2020). Commission Delegated Regulation (EU) 2021/340. https://eur-lex.europa.eu/eli/reg_del/2021/340/oj
  27. Furnham, A. (2008). How advertising works. In A. Furnham, Head & Heart Management (pp. 85–86). Palgrave Macmillan UK. https://doi.org/10.1057/9780230598317_29
  28. Giombi, K., Viator, C., Hoover, J., Tzeng, J., Sullivan, H. W., O’Donoghue, A. C., Southwell, B. G., & Kahwati, L. C. (2022). The impact of interactive advertising on consumer engagement, recall, and understanding: A scoping systematic review for informing regulatory science. PLOS ONE, 17(2), e0263339. https://doi.org/10.1371/journal.pone.0263339
  29. Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701–721. https://doi.org/10.1037/0022-3514.79.5.701
  30. Heath, R. G. (2001). The Hidden Power of Advertising: How Low Involvement Processing Influences the Way We Choose Brands. World Advertising Research Centre (WARC).
  31. International Energy Agency. (2020). Covid crisis deepens energy efficiency slowdown, intensifying need for urgent action. https://www.iea.org/news/covid-crisis-deepens-energy-efficiency-slowdown-intensifying-need-for-urgent-action
  32. Jacobsen, G. D., Kotchen, M. J., & Vandenbergh, M. P. (2012). The behavioral response to voluntary provision of an environmental public good: Evidence from residential electricity demand. European Economic Review, 56(5), 946–960. https://doi.org/10.1016/j.euroecorev.2012.02.008
  33. Juhasz, T., Kozma, T., & Horváth-Csikós, G. (2023). Hungarian business students' knowledge of the current Hungarian gas market and gas consumption practices during the energy crisis. Journal of International Studies, 16(2), 181-194. doi:10.14254/2071-8330.2023/16-2/12
  34. Karlin, B., Ford, R., & Squiers, C. (2014). Energy feedback technology: A review and taxonomy of products and platforms. Energy Efficiency, 7(3), 377–399. https://doi.org/10.1007/s12053-013-9227-5
  35. Kim, J., Ahn, S. J. (Grace), Kwon, E. S., & Reid, L. N. (2017). TV advertising engagement as a state of immersion and presence. Journal of Business Research, 76, 67–76. https://doi.org/10.1016/j.jbusres.2017.03.001
  36. Kollmuss, A., & Agyeman, J. (2002). Mind the Gap: Why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental Education Research, 8(3), 239–260. https://doi.org/10.1080/13504620220145401
  37. Kolosok, S., Bilan, Y., Vasylieva, T., Wojciechowski, A., & Morawski, M. (2021). A Scoping Review of Renewable Energy, Sustainability and the Environment. Energies, 14(15), Article 15. https://doi.org/10.3390/en14154490
  38. Kotler, P., & Lee, N. R. (2008). Social marketing: Influencing behaviors for good (3. ed). Sage Publications.
  39. Kovacic, A. (2014). THE ACTION MODEL FOR MEASURING INFLUENCE IN ADVERTISING. Innovative Issues and Approaches in Social Sciences, 7(3), 90–103. https://doi.org/10.12959/issn.1855-0541.IIASS-2014-no3-art05
  40. Koziara, Ł. (2017). Main goals and functions of advertisement as a part of the marketing communication process. Nowoczesne Systemy Zarządzania, 12(2), 189–201. https://doi.org/10.37055/nsz/129437
  41. Lavidge, R. J., & Steiner, G. A. (1961). A model for predictive measurements of advertising effectiveness. Journal of Marketing, 25(6), 59–62. https://doi.org/10.1177/002224296102500611
  42. Lazowski, B., Parker, P., & Rowlands, I. H. (2018). Towards a smart and sustainable residential energy culture: Assessing participant feedback from a long-term smart grid pilot project. Energy, Sustainability and Society, 8(1), 27. https://doi.org/10.1186/s13705-018-0169-9
  43. Lelis-Torres, N., Ugrinowitsch, H., Apolinário-Souza, T., Benda, R., & Lage, G. (2017). Task engagement and mental workload involved in variation and repetition of a motor skill. Scientific Reports, 7. https://doi.org/10.1038/s41598-017-15343-3
  44. Longart, P., Wickens, E., & Bakir, A. (2016). Consumer decision process in restaurant selection: An application of the stylized EKB model. Market-Tržište, 28(2), 173–190. https://doi.org/10.22598/mt/2016.28.2.173
  45. Makeig, S., Bell, A., Jung, T.-P., & Sejnowski, T. (1996). Independent Component Analysis of Electroencephalographic Data. In D. Touretzky, M. Mozer, & M. Hasselmo (Eds.), Advances in neural information processing systems (pp. 145–151). MIT Press, Cambridge MA.
  46. McAndrew, R., Mulcahy, R., Gordon, R., & Russell-Bennett, R. (2021). Household energy efficiency interventions: A systematic literature review. Energy Policy, 150, 112136. https://doi.org/10.1016/j.enpol.2021.112136
  47. McCollum, D., Gomez Echeverri, L., Riahi, K., & Parkinson, S. (2017). Sdg7: Ensure access to affordable, reliable, sustainable and modern energy for all. In D. J. Griggs, M. Nilsson, A. Stevance, & D. McCollum (Eds.), A guide to SDG interactions: From science to implementation (pp. 127–173). International Council for Science.
  48. Melhem, Z. (Ed.). (2013). Electricity transmission, distribution and storage systems. Woodhead.
  49. Mo, Y., & Zhao, D. (2021). Effective factors for residential building energy modeling using feature engineering. Journal of Building Engineering, 44, 102891. https://doi.org/10.1016/j.jobe.2021.102891
  50. Morganti, L., Pallavicini, F., Cadel, E., Candelieri, A., Archetti, F., & Mantovani, F. (2017). Gaming for Earth: Serious games and gamification to engage consumers in pro-environmental behaviours for energy efficiency. Energy Research & Social Science, 29, 95–102. https://doi.org/10.1016/j.erss.2017.05.001
  51. Moriarty, P., & Honnery, D. (2019). Energy Efficiency or Conservation for Mitigating Climate Change? Energies, 12(18), Article 18. https://doi.org/10.3390/en12183543
  52. Munasinghe, M. (2004). Sustainable Development: Basic Concepts and Application to Energy. In C. J. Cleveland (Ed.), Encyclopedia of Energy (pp. 789–808). Elsevier. https://doi.org/10.1016/B0-12-176480-X/00441-1
  53. Murugesan, L. K., Hoda, R., & Salcic, Z. (2015). Design criteria for visualization of energy consumption: A systematic literature review. Sustainable Cities and Society, 18, 1–12. https://doi.org/10.1016/j.scs.2015.04.009
  54. National Academy of Engineering (Ed.). (2009). America’s energy future: Technology and transformation. National Academies Press.
  55. Ó Broin, E., Nässén, J., & Johnsson, F. (2015). Energy efficiency policies for space heating in EU countries: A panel data analysis for the period 1990–2010. Applied Energy, 150, 211–223. https://doi.org/10.1016/j.apenergy.2015.03.063
  56. Otamendi, F. J., & Sutil Martín, D. L. (2020). The Emotional Effectiveness of Advertisement. Frontiers in Psychology, 11, 2088. https://doi.org/10.3389/fpsyg.2020.02088
  57. Piwowarski, M., Gadomska-Lila, K., & Nermend, K. (2021). Cognitive Neuroscience Methods in Enhancing Health Literacy. International Journal of Environmental Research and Public Health, 18(10), Article 10. https://doi.org/10.3390/ijerph18105331
  58. Pope, A. T., Bogart, E. H., & Bartolome, D. S. (1995). Biocybernetic system evaluates indices of operator engagement in automated task. Biological Psychology, 40(1–2), 187–195. https://doi.org/10.1016/0301-0511(95)05116-3
  59. Poveda-Orjuela, P. P., García-Díaz, J. C., Pulido-Rojano, A., & Cañón-Zabala, G. (2019). ISO 50001: 2018 and Its Application in a Comprehensive Management System with an Energy-Performance Focus. Energies, 12(24), Article 24. https://doi.org/10.3390/en12244700
  60. Rejer, I., Jankowski, J., Dreger, J., & Lorenz, K. (2024). Viewer Engagement in Response to Mixed and Uniform Emotional Content in Marketing Videos—An Electroencephalographic Study. Sensors, 24(2), 517. https://doi.org/10.3390/s24020517
  61. Ro, M., Brauer, M., Kuntz, K., Shukla, R., & Bensch, I. (2017). Making Cool Choices for sustainability: Testing the effectiveness of a game-based approach to promoting pro-environmental behaviors. Journal of Environmental Psychology, 53, 20–30. https://doi.org/10.1016/j.jenvp.2017.06.007
  62. Salameh, Z. (2014). Chapter 5—Emerging Renewable Energy Sources. In Z. Salameh (Ed.), Renewable Energy System Design (pp. 299–371). Academic Press. https://doi.org/10.1016/B978-0-12-374991-8.00005-2
  63. Schultz, P. W., Estrada, M., Schmitt, J., Sokoloski, R., & Silva-Send, N. (2015). Using in-home displays to provide smart meter feedback about household electricity consumption: A randomized control trial comparing kilowatts, cost, and social norms. Energy, 90, 351–358. https://doi.org/10.1016/j.energy.2015.06.130
  64. Skrandies, W. (1990). Global field power and topographic similarity. Brain Topography, 3(1), 137–141. https://doi.org/10.1007/BF01128870
  65. Srivastava, R., Rathore, J. S., & Singh, H. (2021). An empirical study on channel attributes of online and offline channels based on Engel-Kollat-Blackwell (EKB) model. World Review of Entrepreneurship, Management and Sustainable Development, 17(6), 864. https://doi.org/10.1504/WREMSD.2021.118657
  66. Stankevičienė, J., & Borisova, J. (2022). Conceptual approach to valuation of climate change in EU countries through the prism of economic activities. Economics, Management and Sustainability, 7(1), 6–16. https://doi.org/10.14254/jems.2022.7-1.1
  67. Stoffels, P., & Vielhaber, M. (2016). Decision Support for Energy Efficient Production in Product and Production Development. Procedia CIRP, 40, 530–535. https://doi.org/10.1016/j.procir.2016.01.128
  68. Streimikiene, D. (2022). Renewable energy technologies in households: Challenges and low carbon energy transition justice. Economics and Sociology, 15(3), 108-120. doi:10.14254/2071-789X.2022/15-3/6
  69. Štreimikienė,D. (2024). Renewable energy penetration in Nordic and Baltic countries of the EU. Journal of International Studies, 17(1), 97-107. doi:10.14254/2071-8330.2024/17-1/6
  70. uit het Broek, M. A. J., Van der Heide, G., & Van Foreest, N. D. (2020). Energy-saving policies for temperature-controlled production systems with state-dependent setup times and costs. European Journal of Operational Research, 287(3), 916–928. https://doi.org/10.1016/j.ejor.2020.03.021
  71. Ullal, M. S., & Hawaldar, I. T. (2018). Influence of advertisement on customers based on AIDA model. Problems and Perspectives in Management, 16(4), 285–298. https://doi.org/10.21511/ppm.16(4).2018.24
  72. UN General Assembly,. (2015, October 21). Transforming our world: The 2030 Agenda for Sustainable Development. https://www.refworld.org/docid/57b6e3e44.html
  73. Universitas Bakrie, Jakarta - Indonesia, & Sukma Wijaya, B. (2012). The Development of Hierarchy of Effects Model in Advertising. International Research Journal of Business Studies, 5(1), 73–85. https://doi.org/10.21632/irjbs.5.1.73-85
  74. Vaughn, R. (1980). How advertising works: A planning model. Journal of Advertising Research.
  75. Waris, I., & Hameed, I. (2020). An empirical study of consumers intention to purchase energy efficient appliances. Social Responsibility Journal, 17(4), 489–507. https://doi.org/10.1108/SRJ-11-2019-0378
  76. World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA, 310(20), 2191. https://doi.org/10.1001/jama.2013.281053
  77. Wyłączamy prąd, włączamy oszczędzanie. (2012). [Video recording]. https://www.youtube.com/watch?v=I37lsVhaxbA
  78. Zennifa, F., Ageno, S., Hatano, S., & Iramina, K. (2018). Hybrid System for Engagement Recognition During Cognitive Tasks Using a CFS + KNN Algorithm. Sensors, 18(11), 3691. https://doi.org/10.3390/s18113691

How to Cite

Piwowarski, B. (2024). Increasing energy awareness through effective advertising messages – a neurophysiological approach to engagement study. Human Technology, 20(3), 676–700. https://doi.org/10.14254/1795-6889.2024.20-3.12