Abstract
We introduce a mobile device application that displays key information about caffeine: the pharmacokinetics (time course of drug levels) and pharmacodynamics (the effects of caffeine level) visually on the iPhone, iPod Touch, and iPad. This application, Caffeine Zone, is based on an existing model of caffeine physiology using user inputs, including caffeine dose, start time, and consumption speed. It calculates the caffeine load in a user for the next twenty-four hours and displays it using a line chart. In addition, it shows whether the user is currently in the "cognitive alert zone" (the range of caffeine where a normal person might benefit most from caffeine) or the "possible sleep zone" (the range of caffeine where sleep is presumed not affected by caffeine level.) Understanding the pharmacokinetics and pharmacodynamics of caffeine can help people using caffeine to improve alertness, including in operational environments. Caffeine Zone may also help users create a mental model of caffeine levels when the device is not available. We argue that this app will both teach users the complex absorption/elimination process of caffeine and help monitor users' daily caffeine usage. The model, with additional validation, can be part of a system that predict cognitive state of users and provide assistances in critical conditions.
| Original language | English (US) |
|---|---|
| Title of host publication | Foundations of Augmented Cognition |
| Subtitle of host publication | Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings |
| Pages | 528-535 |
| Number of pages | 8 |
| DOIs | |
| State | Published - Jul 19 2011 |
| Event | 6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011 - Orlando, FL, United States Duration: Jul 9 2011 → Jul 14 2011 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 6780 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011 |
|---|---|
| Country | United States |
| City | Orlando, FL |
| Period | 7/9/11 → 7/14/11 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Modeling pharmacokinetics and pharmacodynamics on a mobile device to help caffeine users. / Ritter, Frank E.; Yeh, Kuo Chuan.
Foundations of Augmented Cognition: Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings. 2011. p. 528-535 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6780 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Modeling pharmacokinetics and pharmacodynamics on a mobile device to help caffeine users
AU - Ritter, Frank E.
AU - Yeh, Kuo Chuan
PY - 2011/7/19
Y1 - 2011/7/19
N2 - We introduce a mobile device application that displays key information about caffeine: the pharmacokinetics (time course of drug levels) and pharmacodynamics (the effects of caffeine level) visually on the iPhone, iPod Touch, and iPad. This application, Caffeine Zone, is based on an existing model of caffeine physiology using user inputs, including caffeine dose, start time, and consumption speed. It calculates the caffeine load in a user for the next twenty-four hours and displays it using a line chart. In addition, it shows whether the user is currently in the "cognitive alert zone" (the range of caffeine where a normal person might benefit most from caffeine) or the "possible sleep zone" (the range of caffeine where sleep is presumed not affected by caffeine level.) Understanding the pharmacokinetics and pharmacodynamics of caffeine can help people using caffeine to improve alertness, including in operational environments. Caffeine Zone may also help users create a mental model of caffeine levels when the device is not available. We argue that this app will both teach users the complex absorption/elimination process of caffeine and help monitor users' daily caffeine usage. The model, with additional validation, can be part of a system that predict cognitive state of users and provide assistances in critical conditions.
AB - We introduce a mobile device application that displays key information about caffeine: the pharmacokinetics (time course of drug levels) and pharmacodynamics (the effects of caffeine level) visually on the iPhone, iPod Touch, and iPad. This application, Caffeine Zone, is based on an existing model of caffeine physiology using user inputs, including caffeine dose, start time, and consumption speed. It calculates the caffeine load in a user for the next twenty-four hours and displays it using a line chart. In addition, it shows whether the user is currently in the "cognitive alert zone" (the range of caffeine where a normal person might benefit most from caffeine) or the "possible sleep zone" (the range of caffeine where sleep is presumed not affected by caffeine level.) Understanding the pharmacokinetics and pharmacodynamics of caffeine can help people using caffeine to improve alertness, including in operational environments. Caffeine Zone may also help users create a mental model of caffeine levels when the device is not available. We argue that this app will both teach users the complex absorption/elimination process of caffeine and help monitor users' daily caffeine usage. The model, with additional validation, can be part of a system that predict cognitive state of users and provide assistances in critical conditions.
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UR - http://www.scopus.com/inward/citedby.url?scp=79960300971&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21852-1_61
DO - 10.1007/978-3-642-21852-1_61
M3 - Conference contribution
AN - SCOPUS:79960300971
SN - 9783642218514
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 528
EP - 535
BT - Foundations of Augmented Cognition
ER -