Automatic reasoning evaluation in diet management based on an Italian cookbook

Transcription

1 Automatic reasoig evaluatio i diet maagemet based o a Italia cookbook Luca Aselma, aselma@di.uito.it Alessadro Mazzei, mazzei@di.uito.it Adrea Piroe, adrea.piroe@di.uito.it Departmet of Computer Sciece, Uiversity of Turi, Italy

2 The project MADiMa: Multimedia Applicatio for Diet Maagemet... a virtual assistat dietitia that is able: (1) to recover the utritioal iformatio directly from a specific recipe, (2) to reaso over recipes ad diets with flexibility, i.e. by allowig some forms of diet disobediece, ad (3) to persuade the user to miimize such acts of disobediece. 3. NLU/IE service 4. Reasoer service Recipe QR Code 1. app DB Users 2. DietMaager service DB Recipes 5. NLG service

3 The diet Dietary Referece Values (DRVs) recommeded to be followed for sigificat amouts of time I a diet it is ecessary to cosider total eergy requiremet ad the specific DRVs of macroutriets (proteis, carbohydrates ad lipids)

4 The diet trasgressio problem Ca we help users that occasioally fail to stick to a diet to reach their dietary goals? What are the cosequeces of diet trasgressios over the ext meals? How ca users compesate such trasgressios?

5 The CheckYourMeal! app

6 Reasoig about the diet with STP We represet DRVs as [mi,max] costraits usig eergy (kcal) (Simple Temporal Problem [Dechter et al. 91] costraits with eergy istead of time) Example: Joh s total eergy itake must be 245 kcal/day for a week [245 7, 245 7] Su Sat Reasoig performed by a all-pairs shortest paths algorithm such as Floyd-Warshall s algorithm è cosistecy è miimal etwork

7 Reasoig about the diet with STP To allow users to make small deviatios attaiig at the same time to the diet: Over the logest periods of time (e.g., weeks) we impose the ideal values Over the shortest periods of time (e.g., meals ad days) we allow some deviatios For example, as log as the fial weekly goal is reachable, Joh is allowed to deviate from the value of ±1% a day ad of ±3% a meal Iitial diet: [225,2695] [225,2695] [225,2695] [245 7, 245 7] [225,2695] Su Mo Tues Weds Thurs Fri Sat [225,2695] [225,2695] [225,2695] (for the sake of cociseess oly days ad ot meals are represeted i the figure)

8 Reasoig about the diet with STP [225,2695] [225,2695] [225,2695] [245 7, 245 7] [225,2695] Su Mo Tues Weds Thurs Fri Sat [225,2695] [225,2695] [225,2695] Joh eats 269 kcal o Suday [245 7, 245 7] [269,269] [225,2695] [225,2695] [225,2695] [225,2695] [225,2695] [225,2695] Su Mo Tues Weds Thurs Fri Sat Costrait propagatio [241 6, 241 6] [269,269] [225,2695] [225,2695] [225,2695] [225,2695] [225,2695] [225,2695] Su Mo Tues Weds Thurs Fri Sat

9 Reasoig about the diet with STP Joh eats 269 kcal also o Moday ad Tuesday [269,269] [269,269] [269,269] [225,2695] [225,2695] [225,2695] [225,2695] [241 6, 241 6] Su Mo Tues Weds Thurs Fri Sat Costrait propagatio [227 4, 227 4] [269,269] [269,269] [269,269] [225,2465] [225,2465] [225,2465] [225,2465] Su Mo Tues Weds Thurs Fri Sat Thus, as a cosequece of o stickig to 245 kcal/day, Joh has to eat kcal i the rest of the week while stayig i the rage betwee 225 ad 2465 kcal/day

10 Reasoig about the diet with STP Notice that: A huma dietitia ca customize the allowed deviatios for the week, the days ad the sigle meals A user ca also assert imprecise iformatio For example, Joh does ot kow the exact weight of the portios of the meals o Suday, Moday ad Tuesday ad he provides a approximate estimate [2273 4, ] [26,269] [26,268] [265,269] [225,2685] [225,2685] [225,2685] [225,2685] Su Mo Tues Weds Thurs Fri Sat

11 Quatitative Evaluatio Approach evaluated through a simulatio with differet types of users ad probability of trasgressio i two settigs: usig hospital meus Ogoig collaboratio with Città della Salute e della Scieza Hospital i Turi, Italy (3 rd largest hospital i Italy) usig Italia cookbook recipes Gedeoe, with 5 recipes Statistical aalysis (95% cofidece itervals) shows that our approach is better tha a o-stp-based baselie at compesatig trasgressios ad achievig weekly dietary goals

12 Quatitative Evaluatio U2 U1 U3

13 Huma-based Qualitative Iformal Assessmet A professioal dietitia deemed the UI clear, iformative He appreciated the possibility for a dietitia to maually customize the diet He suggested to support also diets based o specific types of food (e.g., Mediterraea diet) ad to eable users to add their ow recipes

14 Work i Progress Evaluatio Huma users App for dietitias Reasoig Mediterraea diet Natural Laguage Geeratio SimpleNLG-IT User-modeled persuasio

15 Thaks for your time!

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17 U1: 73 kg, 175 cm, 4 yo, M, Moderate activity level ormal user, BMI 23.8, 2244 kcal/day eergy requiremet U2: 55 kg, 16 cm, 3 yo, F, Very active sporty user, BMI 21.5, 256 kcal/day U3: 9 kg, 175 cm, 3 yo, M, ot active obese user, BMI 35.1, 188 kcal/day