Your Personalized MOODS visualizations for Week 14

Graph Description

This graph shows the word cloud of your stressors and reported stressors

Graph Description

This graph shows the following items: Weekly average (all previous weeks combined) of minutes stressed per hour; Current week average stressed minutes; Weekly average (all previous weeks combined) number of daily stressors; Current week number of daily stressors.

Graph Description

This graph shows the location and time of day for your five most frequently reported stressors. You can tap-in and tap-out on each stressor to see the location and time of day of the occurrence for that particular stressor selected. Tapping on a segment will return you to the main graph.

Graph Description

This graph shows the various semantic locations in the map where you have reported being stressed. You can hover/tap over each point to see the corresponding stressor, day and time of the day of its occurence. If there are new locations reported for current week, you can also click/tap the legend to see new locations reported for current week.

Findings this week:

• New Stressed locations reported in Week 14 : No new locations reported this week

Graph Description

This graph shows contribution of each stressor to the total stressed duration. You can also hover/tap over each segment to expand the abbreviations and see the percentage.

Findings this week:

• Stressor with longest reported stressed duration for Week 14 was: No stressors reported this week

Graph Description

This graph shows distribution of stressed duration across reported locations . You can click on or tap the legend to view the percentage for a particular location.

Findings this week:

• Location with longest reported stressed duration for Week 14 was: No stressors reported this week

Graph Description

This graph shows the days and times when the system detects that you are usually stressed. You can hover/tap over each segment to see the expansion of the abbreviation, corresponding stress probability and the average stressed minutes of each hour detected by the MOODS app. The color bar in the right corresponds to the stress probability values.

Graph Description

This graph shows the ranking of your daily stressors based on stress probability.

Graph Description

This graph shows how many times you reported your daily stressors every week. You can toggle on/toggle off different stressors to see them on the graph.

Graph Description

This graph shows the number of times each stressor was reported.You can hover/tap over each segment to see the expansion of the abbreviation, week number and number of occurences.

Graph Description

This graph shows a scatter plot for your stressors over the weeks of your study participation and the time of the day. To select each stressor, click/tap the corresponding legend item.

Findings this week:

• Stressors were reported the most this Week 14 in : No stressors reported this week
• Stressors were reported the most in previous weeks in : Morning

Graph Description

This graph shows a scatter plot for your stressors over the weeks of your study participation and different locations. To select each stressor, click/tap the corresponding legend item.

Findings this week:

• Stressors were reported the most this Week 14 was at :No stressors reported this week
• Stressors were reported the most in previous weeks was at : work

Graph Description

This graph shows how many times a stressor was reported across the different days of the week since the beginning of the study to date. To select each stressor, click/tap the corresponding legend item.

Findings this week:

• Week 14, stressors reported the most on : No Stressors reported this week
• In previous weeks, you reported stressors the most on : Monday ,Wednesday

Graph Description

This graph shows violin plots of that depict the duration of your five most frequently reported stressors. Violin plots consist of box plots (seen toward the center of each violin) and it also shows the probability density of the data at different values, usually smoothed by a kernel density estimator. A boxplot is a method for graphically depicting groups of numerical data through their quartiles. Kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. A probability density function (PDF) of a random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would equal that sample.

Graph Description

This graph shows how long duration of stressed periods were detected by the MOODS app for five top stressors across the weeks you have participated in the study. Red bars show current week and gray bars show previous weeks.

Findings this week:

No stressor reported this week 14