Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis
# Background different studies revealed strong correlation between smoking cessation and a worsening of the diet, whose consequence include loss of appetite, weight loss, etc. # Objective the objective of FoodRec project is to exploit technology to monitor the dietary habits of people during thei...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Open Medical Publishing
2023-02-01
|
| Series: | Health Psychology Research |
| Online Access: | https://doi.org/10.52965/001c.70401 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825139362616049664 |
|---|---|
| author | Sebastiano Battiato Pasquale Caponnetto Roberto Leotta Giovanni Marotta Alessandro Midolo Alessandro Ortis Riccardo Polosa |
| author_facet | Sebastiano Battiato Pasquale Caponnetto Roberto Leotta Giovanni Marotta Alessandro Midolo Alessandro Ortis Riccardo Polosa |
| author_sort | Sebastiano Battiato |
| collection | DOAJ |
| description | # Background
different studies revealed strong correlation between smoking cessation and a worsening of the diet, whose consequence include loss of appetite, weight loss, etc.
# Objective
the objective of FoodRec project is to exploit technology to monitor the dietary habits of people during their smoke quitting process, catching relevant changes which can affect the patient health and the success of the process. This work was an uncontrolled pre-test post-test open pilot study in which an interdisciplinary group created an app for food recognition (FoodRec) to monitor their mood status and dietary habits during the test period.
# Methods
participants used the FoodRec App for two consecutive weeks for usability and suitability assessment. Tests included 149 smokers involved in a smoke quitting process, aged between 19 and 80. For the quantitative test, data were analyzed regarding users features, meals uploads, mood states and drink intakes. For the qualitative test, a user evaluation test of the app has been performed with four assignments being carried out on a group of 50 participants.
# Results
the App was perceived as extremely user-friendly and lightweight. It also turned out to be useful in the perception of users' dietary habits and helpful in relieving the stress of a food intake reduction process.
# Conclusion
this work investigated the role and impact of the FoodRec App in a large international and multicultural context. The experience gained in the current study will be used to modify and refine the large international RCT protocol version of the app. |
| format | Article |
| id | doaj-art-ee42a6015d504588958e8cac445ef931 |
| institution | Kabale University |
| issn | 2420-8124 |
| language | English |
| publishDate | 2023-02-01 |
| publisher | Open Medical Publishing |
| record_format | Article |
| series | Health Psychology Research |
| spelling | doaj-art-ee42a6015d504588958e8cac445ef9312025-02-11T20:30:37ZengOpen Medical PublishingHealth Psychology Research2420-81242023-02-0111Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative AnalysisSebastiano BattiatoPasquale CaponnettoRoberto LeottaGiovanni MarottaAlessandro MidoloAlessandro OrtisRiccardo Polosa# Background different studies revealed strong correlation between smoking cessation and a worsening of the diet, whose consequence include loss of appetite, weight loss, etc. # Objective the objective of FoodRec project is to exploit technology to monitor the dietary habits of people during their smoke quitting process, catching relevant changes which can affect the patient health and the success of the process. This work was an uncontrolled pre-test post-test open pilot study in which an interdisciplinary group created an app for food recognition (FoodRec) to monitor their mood status and dietary habits during the test period. # Methods participants used the FoodRec App for two consecutive weeks for usability and suitability assessment. Tests included 149 smokers involved in a smoke quitting process, aged between 19 and 80. For the quantitative test, data were analyzed regarding users features, meals uploads, mood states and drink intakes. For the qualitative test, a user evaluation test of the app has been performed with four assignments being carried out on a group of 50 participants. # Results the App was perceived as extremely user-friendly and lightweight. It also turned out to be useful in the perception of users' dietary habits and helpful in relieving the stress of a food intake reduction process. # Conclusion this work investigated the role and impact of the FoodRec App in a large international and multicultural context. The experience gained in the current study will be used to modify and refine the large international RCT protocol version of the app.https://doi.org/10.52965/001c.70401 |
| spellingShingle | Sebastiano Battiato Pasquale Caponnetto Roberto Leotta Giovanni Marotta Alessandro Midolo Alessandro Ortis Riccardo Polosa Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis Health Psychology Research |
| title | Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis |
| title_full | Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis |
| title_fullStr | Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis |
| title_full_unstemmed | Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis |
| title_short | Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis |
| title_sort | development and user evaluation of a food recognition app foodrec experimental data and qualitative analysis |
| url | https://doi.org/10.52965/001c.70401 |
| work_keys_str_mv | AT sebastianobattiato developmentanduserevaluationofafoodrecognitionappfoodrecexperimentaldataandqualitativeanalysis AT pasqualecaponnetto developmentanduserevaluationofafoodrecognitionappfoodrecexperimentaldataandqualitativeanalysis AT robertoleotta developmentanduserevaluationofafoodrecognitionappfoodrecexperimentaldataandqualitativeanalysis AT giovannimarotta developmentanduserevaluationofafoodrecognitionappfoodrecexperimentaldataandqualitativeanalysis AT alessandromidolo developmentanduserevaluationofafoodrecognitionappfoodrecexperimentaldataandqualitativeanalysis AT alessandroortis developmentanduserevaluationofafoodrecognitionappfoodrecexperimentaldataandqualitativeanalysis AT riccardopolosa developmentanduserevaluationofafoodrecognitionappfoodrecexperimentaldataandqualitativeanalysis |