an official journal of: published by:
an official journal of: published by:
Editor in Chief: RAFFAELLO COSSU

EFFECTS OF A GAMIFIED SELF-MONITORING APP ON HOUSEHOLD FOOD WASTE REDUCTION

  • Yasuko Seta - Division of Environmental Sciences, Kyoto Prefectural University, Japan
  • Hajime Yamakawa - Division of Environmental Sciences, Kyoto Prefectural University, Japan
  • Tomoko Okayama - Department of Regional Development, Taisho University, Japan
  • Kohei Watanabe - Department of Sociology, Teikyo University, Japan
  • Maki Nonomura - Department of Food Environment Economics, Tokyo University of Agriculture, Japan

Released under CC BY-NC-ND

Copyright: © 2025 CISA Publisher


Abstract

Food waste is a global issue, with approximately half of this waste occurring at the consumer stage. In this study, we focused on refrigerator management behaviors in Japan and conducted an intervention study involving 126 households assigned to intervention and control groups, based on the Motivation–Opportunity–Ability (MOA) framework. Four target behaviors were established: “searching for food that should be used sooner,” “moving such food to visible places,” “using food that should be used sooner,” and “finishing meals.” To promote these behaviors and reduce food waste, a gamified self-monitoring intervention using a behavior-recording app was implemented. The study included three two-week measurement periods: a baseline period, an intervention period, and a follow-up period conducted three months after the intervention. Food waste was measured using a cloud-based automatic weighing system that recorded data every hour, and participants were instructed to separate avoidable food waste and dispose of it in designated bins. The average weekly food waste per household decreased by 190 g (45%) in the intervention group and by 60 g (13%) in the control group, corresponding to a 32 percentage-point difference between groups. A general linear model (GLM) with bootstrap inference, controlling for baseline food waste, indicated a statistically significant reduction in food waste in the intervention group compared with the control group. Among six representative behavioral indicators, four showed significant intervention effects. However, no significant associations were observed between behavioral changes and changes in food waste in the main effects model. More than 90% of participants in the intervention group used the app five or more days per week, ...

Keywords


Editorial History

  • Received: 07 Oct 2025
  • Revised: 06 Apr 2026
  • Accepted: 29 Apr 2026
  • Available online: 26 May 2026

References

Ananda, J., Pearson, D., & Oakden, S. (2024). Breaking bread: Assessment of household bread waste incidence and behavioural drivers. Journal of Cleaner Production, 471, 143377.
DOI 10.1016/j.jclepro.2024.143377

Boulet, M., & Lauren, N. (2024). Nudging Householders to Reduce Avoidable Food Waste: The OzHarvest Use It Up Tape. Sustainability, 16(12), 5132.
DOI 10.3390/su16125132

Boulet, M., Stott, A., & Kneebone, S. (2023). Which behaviours matter? Prioritising food waste reduction behaviours for targeted policy and program approaches. Journal of Environmental Management, 345, 118668.
DOI 10.1016/j.jenvman.2023.118668

Casonato, C., García-Herrero, L., Caldeira, C., & Sala, S. (2023). What a waste! Evidence of consumer food waste prevention and its effectiveness. Sustainable Production and Consumption, 41, 305–319.
DOI 10.1016/j.spc.2023.08.002

Castro, C., Chitikova, E., Magnani, G., Merkle, J., & Heitmayer, M. (2023). Less Is More: Preventing Household Food Waste through an Integrated Mobile Application. Sustainability, 15(13), 10597.
DOI 10.3390/su151310597

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed). L. Erlbaum Associates

Consumer Affairs Agency. (2020). Survey report on consumer awareness related to food waste (in Japanese). https://www.caa.go.jp/policies/policy/consumer_policy/information/food_loss/efforts/pdf/effort_200424_0001.pdf

Cooper, A., Lion, R., Rodriguez-Sierra, O. E., Jeffrey, P., Thomson, D., Peters, K., Christopher, L., Zhu, M. J. H., Wistrand, L., Van Der Werf, P., & Van Herpen, E. (2023). Use-up day and flexible recipes: Reducing household food waste by helping families prepare food they already have. Resources, Conservation and Recycling, 194, 106986.
DOI 10.1016/j.resconrec.2023.106986

Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining “gamification.” Proceedings of the 15th International Academic MindTrek Conference on Envisioning Future Media Environments - MindTrek ’11, 9.
DOI 10.1145/2181037.2181040

European Commission Joint Research Centre. (2023). Evaluation of consumer food waste prevention interventions. Publications Office.
DOI 10.2760/224541

FAO. (2013). Food wastage footprint: Impacts on natural resources: Summary report. FAO

Farr-Wharton, G., Choi, J. H.-J., & Foth, M. (2014a). Food talks back: Exploring the role of mobile applications in reducing domestic food wastage. Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: The Future of Design, 352–361.
DOI 10.1145/2686612.2686665

Farr-Wharton, G., Choi, J. H.-J., & Foth, M. (2014b). Technicolouring the fridge: Reducing food waste through uses of colour-coding and cameras. Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia - MUM ’14, 48–57.
DOI 10.1145/2677972.2677990

Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160.
DOI 10.3758/BRM.41.4.1149

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191.
DOI 10.3758/BF03193146

Ganglbauer, E., Fitzpatrick, G., & Comber, R. (2013). Negotiating food waste: Using a practice lens to inform design. ACM Transactions on Computer-Human Interaction, 20(2), 1–25.
DOI 10.1145/2463579.2463582

Ganglbauer, E., Fitzpatrick, G., & Güldenpfennig, F. (2015). Why and what did we throw out?: Probing on Reflection through the Food Waste Diary. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 1105–1114.
DOI 10.1145/2702123.2702284

Ganglbauer, E., Fitzpatrick, G., & Molzer, G. (2012). Creating visibility: Understanding the design space for food waste. Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, 1–10.
DOI 10.1145/2406367.2406369

Grech, E. M., Briguglio, M., & Said, E. (2024). A field experiment on gamification of physical activity – Effects on motivation and steps. International Journal of Human-Computer Studies, 184, 103205.
DOI 10.1016/j.ijhcs.2023.103205

Guo, L. (2022). The effects of self-monitoring on strategy use and academic performance: A meta-analysis. International Journal of Educational Research, 112, 101939.
DOI 10.1016/j.ijer.2022.101939

Haas, R., Aşan, H., Doğan, O., Michalek, C. R., Karaca Akkan, Ö., & Bulut, Z. A. (2022). Designing and Implementing the MySusCof App—A Mobile App to Support Food Waste Reduction. Foods, 11(15), 2222.
DOI 10.3390/foods11152222

Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification. 2014 47th Hawaii International Conference on System Sciences, 3025–3034.
DOI 10.1109/HICSS.2014.377

Hartikainen, H., Kostensalo, J., & Riipi, I. (2025). Tackling the challenges of food waste diary studies—Testing strategies with Finnish data. Waste Management, 202, 114844.
DOI 10.1016/j.wasman.2025.114844

Hebrok, M., & Boks, C. (2017). Household food waste: Drivers and potential intervention points for design – An extensive review. Journal of Cleaner Production, 151, 380–392.
DOI 10.1016/j.jclepro.2017.03.069

Huotari, K., & Hamari, J. (2017). A definition for gamification: Anchoring gamification in the service marketing literature. Electronic Markets, 27(1), 21–31.
DOI 10.1007/s12525-015-0212-z

Jobson, D., Karunasena, G. G., Nabi, N., Pearson, D., & Dunstan, E. (2024). A Systematic Review of Pre-Post Studies Testing Behaviour Change Interventions to Reduce Consumer Food Waste in the Household. Sustainability, 16(5), 1963.
DOI 10.3390/su16051963

Koivisto, J., & Hamari, J. (2019). The rise of motivational information systems: A review of gamification research. International Journal of Information Management, 45, 191–210.
DOI 10.1016/j.ijinfomgt.2018.10.013

Kyewski, E., & Krämer, N. C. (2018). To gamify or not to gamify? An experimental field study of the influence of badges on motivation, activity, and performance in an online learning course. Computers & Education, 118, 25–37.
DOI 10.1016/j.compedu.2017.11.006

Landers, R. N., Bauer, K. N., & Callan, R. C. (2017). Gamification of task performance with leaderboards: A goal setting experiment. Computers in Human Behavior, 71, 508–515.
DOI 10.1016/j.chb.2015.08.008

Leverenz, D., Moussawel, S., Maurer, C., Hafner, G., Schneider, F., Schmidt, T., & Kranert, M. (2019). Quantifying the prevention potential of avoidable food waste in households using a self-reporting approach. Resources, Conservation and Recycling, 150, 104417.
DOI 10.1016/j.resconrec.2019.104417

Mathisen, T. F., & Johansen, F. R. (2022). The Impact of Smartphone Apps Designed to Reduce Food Waste on Improving Healthy Eating, Financial Expenses and Personal Food Waste: Crossover Pilot Intervention Trial Studying Students’ User Experiences. JMIR Formative Research, 6(9), e38520.
DOI 10.2196/38520

Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective techniques in healthy eating and physical activity interventions: A meta-regression. Health Psychology, 28(6), 690–701.
DOI 10.1037/a0016136

Morrow, A., Walker, K., Calder-MacPhee, N., & Ozakinci, G. (2022). The active ingredients of physical activity and / or dietary workplace-based interventions to achieve weight loss in overweight and obese healthcare staff: A systematic review. Journal of Behavioral Medicine, 45(3), 331–349.
DOI 10.1007/s10865-021-00279-x

Morschheuser, B., Hamari, J., & Maedche, A. (2019). Cooperation or competition – When do people contribute more? A field experiment on gamification of crowdsourcing. International Journal of Human-Computer Studies, 127, 7–24.
DOI 10.1016/j.ijhcs.2018.10.001

Nkwo, M., Suruliraj, B., & Orji, R. (2021). Persuasive Apps for Sustainable Waste Management: A Comparative Systematic Evaluation of Behavior Change Strategies and State-of-the-Art. Frontiers in Artificial Intelligence, 4, 748454.
DOI 10.3389/frai.2021.748454

Nonomura, M. (2020). Consumers and Household Food Waste: Attitudes, Behaviors, and Food Waste Reduction Interventions. Material Cycles and Waste Management Research, 31(4), 253–261.
DOI 10.3985/mcwmr.31.253

Okayama, T., Watanabe, K., & Yamakawa, H. (2021). Sorting Analysis of Household Food Waste—Development of a Methodology Compatible with the Aims of SDG12.3. Sustainability, 13(15), 8576.
DOI 10.3390/su13158576

Ölander, F., & Thøgersen, J. (1995). Understanding of consumer behaviour as a prerequisite for environmental protection. Journal of Consumer Policy, 18(4), 345–385.
DOI 10.1007/BF01024160

Orji, R., & Moffatt, K. (2018). Persuasive technology for health and wellness: State-of-the-art and emerging trends. Health Informatics Journal, 24(1), 66–91.
DOI 10.1177/1460458216650979

Osaka Prefectural Government. (2019). Report on household food waste survey (in Japanese). https://www.pref.osaka.lg.jp/documents/19820/houkokusyo.pdf

Page, E. J., Massey, A. S., Prado-Romero, P. N., & Albadawi, S. (2020). The Use of Self-Monitoring and Technology to Increase Physical Activity: A Review of the Literature. Perspectives on Behavior Science, 43(3), 501–514.
DOI 10.1007/s40614-020-00260-0

Pelt, A., Saint-Bauzel, R., Barbier, L., & Fointiat, V. (2020). Food waste: Disapproving, but still doing. An evidence-based intervention to reduce waste at household. Resources, Conservation and Recycling, 162, 105059.
DOI 10.1016/j.resconrec.2020.105059

Porpino, G. (2016). Household Food Waste Behavior: Avenues for Future Research. Journal of the Association for Consumer Research, 1(1), 41–51.
DOI 10.1086/684528

Principato, L., Mattia, G., Di Leo, A., & Pratesi, C. A. (2021). The household wasteful behaviour framework: A systematic review of consumer food waste. Industrial Marketing Management, 93, 641–649.
DOI 10.1016/j.indmarman.2020.07.010

Qi, D., Roe, B. E., Apolzan, J. W., & Martin, C. K. (2023). Learning about Our Vices from Devices: A Model of Individual Learning with an Application to Consumer Food Waste. Journal of Agricultural and Resource Economics, 48(2), 296-308.
DOI 10.22004/ag.econ.320676

Ramos, G. J., Borges, J. A. R., Domingues, C. H. D. F., & Van Herpen, E. (2024). Reducing food waste by simply measuring it: Insights from interventions to reduce household food waste. British Food Journal, 126(2), 812–833.
DOI 10.1108/bfj-02-2023-0092

Riar, M., Morschheuser, B., Zarnekow, R., & Hamari, J. (2022). Gamification of cooperation: A framework, literature review and future research agenda. International Journal of Information Management, 67, 102549.
DOI 10.1016/j.ijinfomgt.2022.102549

Roe, B. E., Qi, D., Beyl, R. A., Neubig, K. E., Apolzan, J. W., & Martin, C. K. (2022). A Randomized Controlled Trial to Address Consumer Food Waste with a Technology-aided Tailored Sustainability Intervention. Resources, Conservation and Recycling, 179, 106121.
DOI 10.1016/j.resconrec.2021.106121

Santos, E., Sevivas, C., & Carvalho, V. (2025). Managing Food Waste Through Gamification and Serious Games: A Systematic Literature Review. Information, 16(3), 246.
DOI 10.3390/info16030246

Seta, Y., Yamakawa, H., Okayama, T., Watanabe, K., & Nonomura, M. (2025). The Effects of Interventions Using Support Tools to Reduce Household Food Waste: A Study Using a Cloud-Based Automatic Weighing System. Sustainability, 17(14), 6392.
DOI 10.3390/su17146392

Shu, Y., Booker, A., Karetny, J., O’Keefe, K., Rees, K., Schroder, L., & Roe, B. E. (2023). Evaluation of a community-based food waste campaign using a national control group. Waste Management, 160, 101–111.
DOI 10.1016/j.wasman.2023.02.011

Simões, J., Carvalho, A., & Gaspar De Matos, M. (2022). How to influence consumer food waste behavior with interventions? A systematic literature review. Journal of Cleaner Production, 373, 133866.
DOI 10.1016/j.jclepro.2022.133866

Soma, T., Li, B., & Maclaren, V. (2020). Food Waste Reduction: A Test of Three Consumer Awareness Interventions. Sustainability, 12(3), 907.
DOI 10.3390/su12030907

Soma, T., Li, B., & Maclaren, V. (2021). An evaluation of a consumer food waste awareness campaign using the motivation opportunity ability framework. Resources, Conservation and Recycling, 168, 105313.
DOI 10.1016/j.resconrec.2020.105313

Stöckli, S., Niklaus, E., & Dorn, M. (2018). Call for testing interventions to prevent consumer food waste. Resources, Conservation and Recycling, 136, 445–462.
DOI 10.1016/j.resconrec.2018.03.029

United Nations, G. A. (2015). Transforming Our World: The 2030 Agenda for Sustainable Development. https://sdgs.un.org/2030agenda

Van Der Werf, P., Seabrook, J. A., & Gilliland, J. A. (2021). “Reduce Food Waste, Save Money”: Testing a Novel Intervention to Reduce Household Food Waste. Environment and Behavior, 53(2), 151–183.
DOI 10.1177/0013916519875180

Van Herpen, E., Van Der Lans, I. A., Holthuysen, N., Nijenhuis-de Vries, M., & Quested, T. E. (2019). Comparing wasted apples and oranges: An assessment of methods to measure household food waste. Waste Management, 88, 71–84.
DOI 10.1016/j.wasman.2019.03.013

Van Herpen, E., Wijnen, T., Quested, T., Reynolds, C., & Sharda, N. (2023). Convenient tools and social norms: Measuring the effectiveness of an intervention to reduce household food waste. Journal of Cleaner Production, 429, 139604.
DOI 10.1016/j.jclepro.2023.139604

Venessa, K., & Aripradono, H. W. (2023). Usage of Gamification and Mobile Application to Reduce Food Loss and Waste: A Case Study of Indonesia. Journal of Information Systems and Informatics, 5(1), 102–122.
DOI 10.51519/journalisi.v5i1.432

Visschers, V. H. M., Wickli, N., & Siegrist, M. (2016). Sorting out food waste behaviour: A survey on the motivators and barriers of self-reported amounts of food waste in households. Journal of Environmental Psychology, 45, 66–78.
DOI 10.1016/j.jenvp.2015.11.007

Vogels, J. W. P. M., van der Haar, S., Zeinstra, G., & Bos-Brouwers, H. (2018). ICT tools for food management and waste prevention at the consumer level (D1.5; REFRESH, pp. 1–64). https://eu-refresh.org/sites/default/files/WP1.5%20report%20FINAL.pdf

von Kameke, C., & Fischer, D. (2018). Preventing household food waste via nudging: An exploration of consumer perceptions. Journal of Cleaner Production, 184, 32–40.
DOI 10.1016/j.jclepro.2018.02.131

Wada, N., & Shinagawa, T. (2018). Relationship between Consumer’s Consciousness and Behavior on Food Waste in General Households. Papers on Environmental Information Science, 32, 179–184.
DOI 10.11492/ceispapers.ceis32.0_179

Waitt, G., & Phillips, C. (2016). Food waste and domestic refrigeration: A visceral and material approach. Social & Cultural Geography, 17(3), 359–379.
DOI 10.1080/14649365.2015.1075580

Yamakawa, H. (2020). Towards Policy Development for Preventing Household Food Waste. Material Cycles and Waste Management Research, 31(4), 262–272.
DOI 10.3985/mcwmr.31.262

Yamakawa H., Kurokawa K., Takeshima Y., Fujiwara H., Doi H., Koizumi H., Saito T., Okayama T., & Kohei W. (2020). Analysis of the Effectiveness of the “Reduce Food Waste by Organizing Your Fridge” Campaign Using a Waste Composition Analysis. The 31st Annual Conference of Japan Society of Material Cycles and Waste Management.
DOI 10.14912/jsmcwm.31.0_55

Zichermann, G., & Cunningham, C. (2011). Gamification by design: Implementing game mechanics in web and mobile apps. O’Reilly Media, Inc