Abstract
People these days primarily focus on having a well-measured calorific diet which results in a healthy body but lacks mindfulness. The Ayurvedic diet system, which is more than thousands of years old, focuses on balancing different energies in the body which in turn promotes wellness of both body and mind. Due to lack of information available, most of the youth is unaware of its benefits and hence struggles to follow a proper dietary system. From the initial interviews with N = 16 participants, it was identified that many people are interested to know more about the Ayurvedic dietary system but lack the means to do so. The findings indicate a need to design an AI-based mobile application that presents information about the Ayurvedic dietary system in an actionable way, giving users the ability to track and compare diet with their peers and identify what to consume consciously according to their body type, life-situation & season. Users can scan any food item using their phone’s camera to understand the ayurvedic dietary & nutritional values associated with it. Using an Artificial Intelligence, their app will suggest alternatives and recipes related to that food item based upon the user’s needs like weight loss/gain, immunity improvement, taste preference, etc. This research is interdisciplinary utilizing the knowledge from fields of Ayurveda, Human Food Interaction, Quantified Self, Artificial Intelligence to make young Indians aware of traditional ayurvedic diet system. Lastly, gamification elements have been used to provide intrinsic and extrinsic motivation to the users to follow the diet system.
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References
Jaiswal, Y.S., Williams, L.L.: A glimpse of Ayurveda–the forgotten history and principles of Indian traditional medicine. J. Tradit. Complement. Med. 7(1), 50–53 (2016). Published 28 Feb 2016. https://doi.org/10.1016/j.jtcme.2016.02.002
Srour, B., et al.: Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé). BMJ 365, l1451 (2019). Published 29 May 2019. https://doi.org/10.1136/bmj.l1451
Fiolet, T., et al.: Consumption of ultra-processed foods and cancer risk: results from NutriNet-Santé prospective cohort. BMJ. 360, k322 (2018). Published 14 Feb 2018. https://doi.org/10.1136/bmj.k322
Schnabel, L., Kesse-Guyot, E., Allès, B., et al.: Association between ultraprocessed food consumption and risk of mortality among middle-aged adults in France. JAMA Intern. Med. 179(4), 490–498 (2019). https://doi.org/10.1001/jamainternmed.2018.7289
Sharma, S., Puri, S., Agarwal, T., Sharma, V.: Diets based on ayurvedic constitution–potential for weight management. Altern. Ther. Health Med. 15(1), 44–47 (2009)
Rioux, J., Thomson, C., Howerter, A.: A pilot feasibility study of whole-systems ayurvedic medicine and yoga therapy for weight loss. Glob. Adv. Health Med. 3(1), 28–35 (2014). https://doi.org/10.7453/gahmj.2013.084
Dalen, J., Smith, B.W., Shelley, B.M., Sloan, A.L., Leahigh, L., Begay, D.: Pilot study: mindful eating and living (MEAL): weight, eating behavior, and psychological outcomes associated with a mindfulness-based intervention for people with obesity. Complement. Ther. Med. 18(6), 260–264 (2010). https://doi.org/10.1016/j.ctim.2010.09.008
Kristeller, J.L., Jordan, K.D.: Mindful eating: connecting with the wise self, the spiritual self. Front. Psychol. 9, 1271 (2018). Published 14 Aug 2018. https://doi.org/10.3389/fpsyg.2018.01271
Payyappallimana, U., Venkatasubramanian, P.: Exploring ayurvedic knowledge on food and health for providing innovative solutions to contemporary healthcare. Front. Public Health 4, 57 (2016). Published 31 Mar 2016. https://doi.org/10.3389/fpubh.2016.00057
Lanou, A.J., Svenson, B.: Reduced cancer risk in vegetarians: an analysis of recent reports. Cancer Manag Res. 3, 1–8 (2010). Published 20 Dec 2010. https://doi.org/10.2147/CMR.S6910
McMacken, M., Shah, S.: A plant-based diet for the prevention and treatment of type 2 diabetess. J. Geriatr. Cardiol. 14(5), 342–354 (2017). https://doi.org/10.11909/j.issn.1671-5411.2017.05.009
Olfert, M.D., Wattick, R.A.: Vegetarian diets and the risk of diabetes. Curr. Diab. Rep. 18(11), 1–6 (2018). https://doi.org/10.1007/s11892-018-1070-9
Patwardhan, B.: Bridging Ayurveda with evidence-based scientific approaches in medicine. EPMA J. 5, 19 (2014). https://doi.org/10.1186/1878-5085-5-19
Swan, M.: Big Data, pp. 85–99, Jun 2013. https://doi.org/10.1089/big.2012.0002
Feng, S., Mäntymäki, M., Dhir, A., Salmela, H.: How self-tracking and the quantified self promote health and well-being: systematic review. J. Med. Internet Res. 23(9), e25171 (2021). Published 21 Sep 2021. https://doi.org/10.2196/25171
Lupton, D.: The Quantified Self. John Wiley & Sons, Hoboken (2016)
Whitson, J.R.: Gaming the quantified self. Surveill. Soc. 11(1/2), 163–176 (2013)
Barcena, M.B., Wueest, C., Lau, H.: How safe is your quantified self, p. 16. Symantech: Mountain View, CA, USA (2014)
Lee, V.R.: What’s happening in the quantified self movement? In: ICLS 2014 Proceedings, p. 1032 (2014)
Anderson, A., et al.: The development of and evaluation of a novel school based intervention to increase fruit and vegetable intake in children (Five a Day The Bash Street Way), N09003. Report for the FSA, London (2003)
Anderson, A., Cox, D.: Five a day–challenges and achievements. Nutr. Food Sci. 30(1), 30–34 (2000)
Baranowski, T., et al.: Squire’s quest! Dietary outcome evaluation of a multimedia game. Am. J. Prev. Med. 24, 52–61 (2003)
De Irala-Estevez, J., et al.: A systematic review of socioeconomic differences in food habits in Europe: consumption of fruit and vegetables. Eur. J. Clin. Nutr. 54, 706–714 (2000)
Devine, C.M., et al.: Sandwiching it in: spillover of work onto food choices and family roles in low- and moderate-income urban households. Soc. Sci. Med. 56, 617–630 ((2003))
Dibsdall, L.A., et al.: Low-income consumers’ attitudes and behaviour towards access, availability and motivation to eat fruit and vegetables. Public Health Nutr. 6(2), 159–168 (2003)
Donkin, A.J., et al.: Mapping access to food in a deprived area: the development of price and availability indices. Public Health Nutr. 3(1), 31–38 (2000)
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Dutta, K., Rajput, A., Srivastava, S., Chidambaram, A., Srivastava, A. (2022). Design of AI-Enabled Application to Detect Ayurvedic Nutritional Values of Edible Items and Suggest a Diet. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2022. Lecture Notes in Computer Science(), vol 13336. Springer, Cham. https://doi.org/10.1007/978-3-031-05643-7_16
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