Designing Positive Behavior Change Experiences: a Systematic Review and Sentiment Analysis based on Online User Reviews of Fitness and Nutrition Mobile Applications

Pimenta, Francisca; Lopes, Laís Fernanda de Palma; Gonçalves, Frederica; Campos, Pedro

doi:10.1145/3428361.3428403

Cited by 10 publications

(4 citation statements)

References 42 publications

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“…While this paper focused on the use of ID-TRF and Microsoft Azure Machine learning for analysis, various techniques can also be used for text analysis. Behaviour Change Techniques Taxonomy version 1 (BCTTv1) has been used on some fitness and food mobile apps as well as sentiment analysis and user feedback was collected through online reviews [66]. Other text mining techniques have been used as a big data analysis tool for food science and nutrition.…”

Section: Emotional and Mentalmentioning

confidence: 99%

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Dalayya

Elsaid

et al. 2023

Human Behavior and Emerging Technologies

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Understanding human perception and requirements on food for cancer prevention and condition management is important so that food applications can be catered to cancer patients. In this paper, web scraping was conducted to understand the public’s perception, attitude, and requirements related to a plant-based diet as a recommended diet for cancer prevention and condition management. Text and sentiment analyses were carried out on results gathered from 82 social sites to determine whether noncancer and cancer patients use plant-based diets, how they have been consumed, their benefits in the prevention and condition management of cancers, the existing myths/fake news about cancer, and what do cancer patients need in a food app. The results of the text analysis highlighted gaps in existing apps, including a lack of credibility as there were a lot of fake news and myths about cancer and endorsement by professionals. Future food apps should provide personalized diets to include both plant-based diets as well as meat, symptom management, good user experience, credibility, and emotional and mental health support.

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Section: Emotional and Mentalmentioning

confidence: 99%

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Dalayya

Elsaid

et al. 2023

Human Behavior and Emerging Technologies

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“…Addressing Behavioral change interventions could drastically reduce overall mortality from CVD ( 13 ). Behavior Change Techniques Taxonomy version 1 (BCTTv1) was applied to a sample of fitness and nutrition mobile apps and SA was used to identify which apps that support behavior change elicits a positive response from the users ( 13 ). StepsApp Pedometer had the highest percentage of positive tags while VeryFitPro had the lowest.…”

Section: A Synthesis Of the Current Literature On Sa In Cardiovascula...mentioning

confidence: 99%

“Not by Our Feeling, But by Other's Seeing”: Sentiment Analysis Technique in Cardiology—An Exploratory Review

Brezulianu

Burlacu

Popa

et al. 2022

Front. Public Health

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Sentiment Analysis (SA) is a novel branch of Natural Language Processing (NLP) that measures emotions or attitudes behind a written text. First applications of SA in healthcare were the detection of disease-related emotional polarities in social media. Now it is possible to extract more complex attitudes (rank attitudes from 1 to 5, assign appraisal values, apply multiple text classifiers) or feelings through NLP techniques, with clear benefits in cardiology; as emotions were proved to be veritable risk factors for the development of cardiovascular diseases (CVD). Our narrative review aimed to summarize the current directions of SA in cardiology and raise the awareness of cardiologists about the potentiality of this novel domain. This paper introduces the readers to basic concepts surrounding medical SA and the need for SA in cardiovascular healthcare. Our synthesis of the current literature proved SA's clinical potential in CVD. However, many other clinical utilities, such as the assessment of emotional consequences of illness, patient-physician relationship, physician intuitions in CVD are not yet explored. These issues constitute future research directions, along with proposing detailed regulations, popularizing health social media among elders, developing insightful definitions of emotional polarity, and investing research into the development of powerful SA algorithms.

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“…According to previous research, a positive user experience design emphasizes taking positive and meaningful stories as the starting point ( Korhonen et al, 2010 ). Conventional methods for measuring user experience, such as user interviews, focus groups, field surveys, user logs, and scale calculations, are time-consuming, laborious, and limited to collecting specific information ( Pimenta et al, 2020 ), and the cost of obtaining a large amount of data is high. Therefore, this study uses the online user comments from social network platforms as the original data.…”

Section: Positive User Experience Design Process Based On the Product...mentioning

confidence: 99%

Exploring the Positive User Experience Possibilities Based on Product Emotion Theory: A Beverage Unmanned Retail Terminal Case

et al. 2022

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Since the last century, user experience has been regarded as a key concept in the process of product and service design. With the development of positive psychology, the transformation from negative to positive user experience has also taken place in the field of user experience; it emphasizes exploring the future possibility of positive user experience rather than just solving existing problems. Based on the research and analysis of existing literature, this study makes it clear that positive user experience research should be based on the “positive experience,” and arousing a positive emotion is conducive to improving positive user experience. On this basis, the product emotion theory is applied to the analysis process of “positive experience.” Through word frequency screening, thematic analysis, and correlation calculation, the relationship between product stimulus (object, activity, and identity) and user concern (goal, attitude, and standard) based on positive “user comments” is constructed, and positive user experience is understood from multiple levels. Based on the comment score, the positive user experience interval is divided in order to clarify the improvement direction. Finally, taking the “Angel Orange” unmanned retail terminal as an example, this study carried out an empirical analysis. As an exploratory study, this study can provide some insights into the quantitative research process of positive user experience design that evokes positive emotions from a user’s “positive experience” story.

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Designing Positive Behavior Change Experiences: a Systematic Review and Sentiment Analysis based on Online User Reviews of Fitness and Nutrition Mobile Applications

Cited by 10 publications

References 42 publications

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

“Not by Our Feeling, But by Other's Seeing”: Sentiment Analysis Technique in Cardiology—An Exploratory Review

Exploring the Positive User Experience Possibilities Based on Product Emotion Theory: A Beverage Unmanned Retail Terminal Case

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