Wristsense2015

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Design Recommendations to Improve the User Interaction with Wrist Worn Devices
Byron Lowens, Vivian Motti and Kelly Caine
Clemson University, USA
WristSense 2015: Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices.
(co-located with IEEE PerCom 2015)
March 27th 2015
St. Louis, Missouri, USA

Published in: Technology
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Wristsense2015

  1. 1. Design Recommendations to Improve The User Interaction with Wrist Worn Devices Byron M. Lowens Vivian Genaro Motti Kelly Caine WristSense 2015 - PerCom 2015 St. Louis, Missouri – USA March 27th, 2015
  2. 2. Agenda  Introduction  Motivation  Related Work  Method  Results  Limitations  Conclusion 2
  3. 3. Wrist Worn Devices 3
  4. 4. 4
  5. 5. Intro 5
  6. 6. Intro 6
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  10. 10. 10Hedegaard, S., & Simonsen, J. G. (2013, April). Extracting usability and user experience information from online user reviews. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2089-2098). ACM.
  11. 11. Wrist Worn Devices  Fitness Tracker and Sleep Tracker  Activity Tracker  Authentication via heart beat  Smart Watch  Smart Band  Gesture control Armband 11
  12. 12.  User Studies on WWDs  Wearable computing comprehends a large range of devices  To be most beneficial for users and provide efficient interaction solutions, these devices must be properly designed in terms of performance and reliability 12 Related Work
  13. 13. 13 Accessible J. Pascoe, and K. Thomson. "On the use of mobile tools in everyday life."Proc. of the 19th Australasian Conf. on CHI: Entertaining User Interfaces.ACM, 2007. FashionablePervasive Reliable
  14. 14. 14B. D. Mayton, N. Zhao, M. Aldrich, N. Gillian, and J.A. WristQue: Apersonal sensor wristband. In Body Sensor Networks (BSN), 2013 IEEE Int.Conference on Paradiso , 2013, (pp. 1-6), IEEE.
  15. 15. Samsung Galaxy Gear 15  Smart Watch
  16. 16. Basis B1 Band 16  Fitness and Sleep Tracker
  17. 17. Design Guidelines 17 Samsung Gear • Personalized & Contextual Samsung Gear • Information at a Glance
  18. 18. Method 18 Review and analysis of Online reviews Manual Analysis Coding Contextual Analysis Bottom Up Approach
  19. 19. Method 19
  20. 20. Method  11 Devices  59 Web Sources  IT forums, social media, e-commerce  1765 comments extracted  Concerning  User Interaction  Modalities  graphic, gesture, tactile 20
  21. 21. 21 Device Purpose Comments Basis B1 Fitbit Flex Jawbone Up Microsoft Band Fitness Tracker 845 BodyMedia Misfit Shine Nike Fuel Band Activity Tracker 317 Nymi Authentication via heartbeat 59 Thalmic Myo Gesture control armband 265 Samsung Galaxy Gear Smart Watch 82 Sony SWR10 Smartband 197
  22. 22. Data Analysis 22 # of Comments Graphic Gesture Tactile Positive 64 94 12 Negative 45 43 11
  23. 23. 23 User Concerns
  24. 24. “…if you sweat too much I guess the watch looses contact with your skin or something and fails to even record data points that it was designed to record in the first place. The buttons used for toggling displays stop working too!” “The Flex relies on moving your wrist, so it doesn't track accurately if you run/walk on a treadmill and don't swing your arms. I played a couple hours of roulette one night and logged 10K steps just playing with my chips. I've experimented with the dominant vs. non-dominant hand and changing the sensitivity but it still doesn't work well. Very disappointing when you are using it for motivation to achieve a daily goal.” 24 User Concerns
  25. 25. “I rated durability low partly because of the waterproof issue but also because they say that it's water resistant but that's not entirely true. When in the shower the buttons on top all fire and forums say the display can lose lines. Also the face scratches easily” “I am a Pebble owner, and I definitely have to agree that the durability of the front display is a big problem. I already managed to scratch mine (through carelessness), and I hate to think what would've happened if I had scratched the center of the watch, rather than the edge.” 25
  26. 26. Recommendations 26 • Definition of the device dimensions. The device should fit users’ wrists being compact, light, and comfortable, minimalist and unobtrusive; • Durability of the display. The device needs to be resistant to be worn in a daily basis, standing shocks without scratching the front display; • Context-awareness. The device should be designed with more efficient algorithms to properly detect the movements and react accordingly based on user context; • Accuracy of data collection. The device should be able to more efficiently analyze user performance and activity level and make adjustments based on the user context; • Definition of interfaces and interaction. Improving user interface and employing a more efficient display. Minimize physical display buttons and incorporate touch screen for more efficient use of the device; • Availability of visualization tools. Offer solutions to analyze user performance and activity level while offering tools to interpret data; • Ease of use. The gestures should be intuitive, i.e. ease to learn and to remember but still detected accurately;
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  28. 28. Graphic and Visual Interfaces 28 User Quote Principle Recommendation “And I haven't found a face that displays at least heart rate and distance that I can see Well on my bike. The viewing angle takes some getting used to, but that was probably a 1 hour thing for me yesterday. “ Readability Improve user interface and employ more efficient display
  29. 29. Graphic and Visual Interface 29 User Quote Principle Recommendation “Scratches easy. Invest in a screen protector early” Durability Must be resistant to be worn in a daily basis, standing shocks without scratching the display
  30. 30. Gesture Based 30 User Quote Principle Recommendation “Activity monitor on your wrist is a horrible location, too many errors in the device trying to figure what is a step and what is a hand movement” Accuracy The device should be able to properly detect the movements and react accordingly based on user context.
  31. 31. Gesture Based 31 User Quote Principle Recommendation “There is absolutely no correlation between calories burnt and heart rate. I do Bikram Yoga and since I was not running laps in the yoga room (though I had my heart rate well above levels seen in many cardio sporting activities) the watch seemed to think I was probably sleeping (it showed the same calorie burn rate!). what a joke of an analysis. Accuracy, Context- Sensitivity The device should be able to more efficiently analyze user performance and activity level and make adjustments based on user context.
  32. 32. Gesture Based 32 User Quote Principle Recommendation “what a joke of an analysis. Oh btw, if you sweat too much I guess the watch looses contact with your skin or something and fails to even record data points that it was designed to record in the first place. The buttons used for toggling displays stop working too Accuracy, Context- Sensitivity, Ease of Use Design display where the user does not have to touch any buttons or interface menus to begin logging an activity. This process should be more pervasive for the user.
  33. 33. Results  Main Issues Found  Reliability  Contextual Sensitivity  Accuracy 33
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  39. 39. Final Remarks  Gained Insight About Key Problems That Users Face  Based on feedback We Were Able to Identify Main User Issues and Derive Recommendations 39
  40. 40. Acknowledgement This material is based upon work supported by the National Science Foundation under Grant No. 1314342. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. 40
  41. 41. References  Hedegaard, S., & Simonsen, J. G. (2013, April). Extracting usability and user experience information from online user reviews. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2089-2098). ACM.  N. Hu, H. Cavusoglu, L. Liu, and C. Ni Do Vendors’ Pricing DecisionsFully Reflect Information in Online Reviews?. ACM Transactions onManagement Information Systems (TMIS), 2012, 3(3), 16.  V.G. Motti, and K. Caine, Human Factors Considerations in the Design ofWearable Devices. In Proc. of the Human Factors and Ergonomics SocietyAnnual Meeting (Vol. 58, No. 1, pp. 205-209). SAGE Publications, 2014.  J. Pascoe, and K. Thomson. "On the use of mobile tools in everyday life." Proc. of the 19th Australasian Conf. on CHI: Entertaining User Interfaces. ACM, 2007.  B. D. Mayton, N. Zhao, M. Aldrich, N. Gillian, and J.A. WristQue: Apersonal sensor wristband. In Body Sensor Networks (BSN), 2013 IEEE Int.Conference on Paradiso , 2013, (pp. 1-6), IEEE. 41

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