HCC 741: Assistive Technology and Accessibility

University of Maryland, Baltimore County

Balancing Exertion Experiences (Due 9/25/12)


Research paper published at CHI 2012.

You can access papers from the digital library on campus, or through the UMBC VPN.


Author: amyhurst

Assistant Professor at University of Maryland, Baltimore County (UMBC) in Human-Centered Computing and Assistive Technology

11 thoughts on “Balancing Exertion Experiences (Due 9/25/12)

  1. To study the exploration of using sensors in physical therapy exercises. Sensors such as; Physiological (heart rate, breathing, metabolic rate – blood oxygen level), Motion sensors – MOCap, measure gait, balance, vision sensors (can you see and react to everything around you?)

  2. I am interested in discussing the affect of balanced exertion systems on social media sites such as Facebook. Would creating such a system that would allow persons to interact with Facebook friends encourage exercise?

  3. I am interested in discussing Physiological measurement use for health and rehabilitation either for co-located users or distributed users.

  4. What other social applications that involve physiological measurement exist?

  5. They figured out a good solution for level of exertion, but not duration of time. I’d like to see what could be explored to balance out the time issue.

  6. I know this problem well, and I would like to try this system… It can’t be the same as running together, but perhaps it is a good alternative to running alone. However, my gut says it would be unsatisfactory for my needs. Does anyone else have an opinion on this?

  7. Overall, I think this is a very very useful tool, and a great paper. I’m really happy that the paper went into detail about the user studies and the purpose of the tool, instead of going into too much detail on the technicalities of the tool. One thing that isn’t clear in the paper is the purpose of the mobile phone, how the two people are communicating with each other (cellular network? Bluetooth? Wifi?), and some general network information on how all the components “talk” to each other network-wise. It also isn’t clear how much data the system consumes while in use, as this is important to the average user.

  8. I would like to explore more emerging beneficial human social technologies.

  9. It seems like this system would benefit from having participants electronically record how long and often they run, their heart rate, goals, etc. The historical running data could then be used to balance running partners in different ways… could be an interesting use of the self-quantification/ personal body systems monitoring that is starting to become popular.

  10. It would be very interesting to me to know if there is a point where the physical differences in partners is so great that a balanced exertion experience cannot be achieved with something like “Jogging over a Distance.” I wonder if the researchers experienced this while conducting their experiment?

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