Interfacing real time ozone information
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Interfacing Real-Time Ozone Information. Ilyas Uyanik 1 , Panagiotis Tsiamyrtzis 3 , Daniel Price 2 , Ioannis Pavlidis 1. 1 Computational Physiology Laboratory, University of Houston, 2 Honors College, University of Houston

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Interfacing Real-Time Ozone Information

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Interfacing real time ozone information

Interfacing Real-Time Ozone Information

  • IlyasUyanik1, Panagiotis Tsiamyrtzis3,

  • Daniel Price2, Ioannis Pavlidis1

1Computational Physiology Laboratory, University of Houston,

2 Honors College, University of Houston

3 Department of Statistics, Athens University of Business and Economics


Introduction

Introduction

  • Introduction

  • App-Design

  • Survey

  • Discussions

  • Ozone is formed in the air through a complex series of reactions involving light and chemical precursors.

  • High levels of ozone are harmful to health and the result of pollution under certain environmental conditions.

  • The American Lung Association currently ranks Houston #7 among most ozone-polluted cities.


Interfacing real time ozone information

  • Introduction

  • App-Design

  • Survey

  • Discussions

  • Until recently only a categorical qualitative description was possible for metropolitan areas.

  • With the proliferation of environmental sensor networks, real-time quantitative and localized ozone information has become available.

  • OzoneMap app: Evolution of ‘ozone clouds’ in the Houston area for the past two hours.

  • Visualization conundrum for designers and users.


App design

App Design

  • Introduction

  • App-Design

  • Survey

  • Discussions


Survey of potential users

Survey of Potential Users

  • Introduction

  • App-Design

  • Survey

  • Discussions

  • A total of 51 participants (31 males and 20 females) volunteered for this user study.

  • The participants were asked to view two videos and then answer a set of questions.

  • Q1: Rate the temperature style representation of the evolving ozone data.

  • 1= Poor ; 2= Fair ; 3= Good ; 4= Very Good ; 5= Excellent

  • Q2: Rate the radar style representation of the evolving ozone data.

  • 1= Poor ; 2= Fair ; 3= Good ; 4= Very Good ; 5= Excellent

  • Q3:Do you consult weather predictions over your smartphone and/or the Internet?

  • 1= Never ; 2= Rarely ; 3= Sometimes ; 4= Often ; 5= Very Often

  • Q4: Do you consult pollutant predictions over your smartphone and/or the Internet?

  • 1= Never ; 2= Rarely ; 3= Sometimes ; 4= Often ; 5= Very Often

  • Q5: Do you walk or run outdoors in a metropolitan area?

  • 1= Never ; 2= Rarely ; 3= Sometimes ; 4= Often ; 5= Very Often

  • Q6: Gender / Q7: Age / Q8: Education Level


Survey analysis

Survey Analysis

  • Introduction

  • App-Design

  • Survey

  • Discussions

25

The result of the first two questions

20

15

Counts

10

5

0

Fair

Very Good

Excellent

Poor

Good

The non-parametric Wilcoxon test indicated no significant differences

between the medians of the two distributions (p=0.2311 > 0.05).


Discussions

Discussions

  • Introduction

  • App-Design

  • Survey

  • Discussions

  • An impasse resulted in a compromise, where both options are offered in the Settings, leaving the choice to the users.

  • A famous historical case is the continued adoption of left-side driving by Britons - a leftover from the horse riding days, where left-side riding accommodated sword handling in moments of danger.

  • The case we report here is a historical deja vu at a small scale, evolving in front of our eyes, which provides the opportunity for and in-depth study and intervention.


Interfacing real time ozone information

Thank You


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