My smartphone knows i am hungry

ABSTRACT Can a smartphone learn our eating habits without the user being in the loop? Clearly, the phone could use checkins based on location to infer that if you are in a cafe, for example, there is a good possibility you might eat or drink something. In this paper, we use inferred behavioral data and location history to predict if you are going to eat or not in the near future. These predictors could serve as a basis for future eating trackers that work unobtrusively in the background of your phone rather than relying on burdensome user input. We report on a simple model that predicts the food purchases of a group of undergraduate college students (N=25) using inferred behavioral and location data from smartphones. The 10-week study uses the dining related purchase records from student college cards as ground-truth to validate our prediction model. Initial results show that we can predict food and drink purchases with an accuracy of 74% using three weeks of training data

Effectiveness and Feasibility of In-office versus Smartphone Text-delivered Nutrition Education in the College Setting: A Mixed-methods Pilot Study

Often, being away from home for the first time, coupled with limited knowledge regarding healthy eating behaviors, leads to poor food choices and an increased risk of obesity among college-aged young adults. These college students are prone to high-calorie diets and limited physical activity, putting them at risk for obesity, a physiologically, psychologically, and financially costly epidemic in the United States. College students use their cellular phones over eight and a half hours a day and cell phones are their primary means of information consumption outside of the classroom, suggesting that the phones would be a useful tool to provide nutrition education to this at-risk population. This mixed-methods randomized-controlled trial took place over eight weeks, between 9/15/15 and 12/2/15. The primary aims of this study were to assess the effectiveness and feasibility between an educational nutrition intervention delivered via smartphone texts and a traditional in-office setting for 18-22-year-old, overweight college students at the Sonoma State University Student Health Center. Using simple randomization, participants were assigned to one of two groups: text, or in-office. Participants in the in-office group received one-on-one nutrition counseling framed within the social cognitive theory by a registered nurse at the study onset, week two, and week four. Participants in the text group received the same information, broken up into weekly text messages with links to websites, YouTube, and explanations of content. Participant characteristics, including weight, height, and health behaviors (hours of sleep a night, number of fruits and vegetables per day), were assessed at the study onset (T1) and again at week two (T2), week four (T3), and week eight (T4). All participants were invited to take part in an in-depth, qualitative, face-to-face interview at the end of the study (T4). Nine participants completed both the trial and interviews. Two-thirds (66.7%, n=6) were in the text group, 66.7% (n=6) were female, 33.3% (n=3) were minorities, 66.7% lived on- campus, and 44.4% (n=4) took part in the university’s on-campus meal plan. No statistically significant differences were noted in participant characteristics, or health behaviors between the two groups throughout the study. Although no statistical significance was noted between the two groups with regard to weight change, the text group’s mean weight decreased from 188.25(sd=25.03) pounds to 184.58(sd=24.67) pounds while the in-office group’s mean weight increased from 254.00(sd=90.15) to 257.00(sd=94.14) pounds. Weight loss in the text group should be further evaluated as it may hold clinical significance for effectiveness of the intervention. Through qualitative interviews exploring participants’ experiences, four major themes emerged. All participants in the text group (n=6) stated that they felt there was a need for their method of education, they felt their method was effective, they would recommend their method, and their health behaviors changed positively. For the in-office group, all participants (n=3) said there was a need for their method of education, 67% (n=2) said it was effective, all would recommend it, and 67% stated that they changed their behaviors. Both the quantitative and qualitative findings of this study hold clinical significance as to the effectiveness and feasibility of text messages as a means of providing nutrition education in the college setting. Future research with larger sample sizes and a longer-term study are recommended for more statistical power and to determine the long-term benefits of these methods of nutrition education

Spartan Daily, March 7, 2018

Volume 150, Issue 18https://scholarworks.sjsu.edu/spartan_daily_2018/1017/thumbnail.jp

Food and Mood: Exploring the determinants of food choices and the effects of food consumption on mood among women in Inner London.

Introduction: The aim of this study was to explore the relationship between food and mood against the backdrop of increased mental health and nutrition cognizance within public health and scientific discourses. Mood was defined as encompassing positive or negative affect. Methodology: A constructionist qualitative approach underpinned this study. Convenience sampling in two faith-based settings was utilised for recruiting participants, who were aged 19-80 (median,48) years. In total 22 Christian women were included in the research, eighteen were in focus groups and four were in individual semi structured interviews. All were church-attending women in inner London. A thematic analysis was carried out, resulting in four central themes relating to food choice and food-induced mood states. Findings: Women identified a number of internal and external factors as influencing their food choices and the effect of food intake on their moods. Food choice was influenced by mood; mood was influenced by food choice. Low mood was associated with unhealthy food consumption, apparent addiction to certain foods and overeating. Improved mood was associated with more healthy eating and eating in social and familial settings. Discussion: Findings indicate food and mood are interconnected through a complex web of factors, as women respond to individual, environmental, cultural and social cues. Targeting socio-cultural and environmental influences and developing supportive public health services, via faith-based or community-based institutions could help to support more women in their struggle to manage the food and mood continuum. Successful implementation of health policies that recognise the psychological and social determinants of food choice and the effect of food consumption on mood, is essential, as is as more research into life-cycle causal factors linking food choice to moo

Regulating Habit-Forming Technology

Tech developers, like slot machine designers, strive to maximize the user’s “time on device.” They do so by designing habit-forming products— products that draw consciously on the same behavioral design strategies that the casino industry pioneered. The predictable result is that most tech users spend more time on device than they would like, about five hours of phone time a day, while a substantial minority develop life-changing behavioral problems similar to problem gambling. Other countries have begun to regulate habit-forming tech, and American jurisdictions may soon follow suit. Several state legislatures today are considering bills to regulate “loot boxes,” a highly addictive slot-machine- like mechanic that is common in online video games. The Federal Trade Commission has also announced an investigation into the practice. As public concern mounts, it is surprisingly easy to envision consumer regulation extending beyond video games to other types of apps. Just as tobacco regulations might prohibit brightly colored packaging and fruity flavors, a social media regulation might limit the use of red notification badges or “streaks” that reward users for daily use. It is unclear how much of this regulation could survive First Amendment scrutiny; software, unlike other consumer products, is widely understood as a form of protected “expression.” But it is also unclear whether well-drawn laws to combat compulsive technology use would seriously threaten First Amendment values. At a very low cost to the expressive interests of tech companies, these laws may well enhance the quality and efficacy of online speech by mitigating distraction and promoting deliberation

Mohamed AlDuhbani Honors Portfolio

Mohamed AlDuhbani\u27s honors portfolio captured in December 2015