Wearable ESM Differences in Experience Sampling Across Wearable Devices
Javier Hernandez (javierhr@mit.edu) Daniel J. McDuff Christian Infante Pattie Maes Karen Quigley * Rosalind W. Picard
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Wearable ESM Differences in Experience Sampling Across Wearable - - PowerPoint PPT Presentation
Wearable ESM Differences in Experience Sampling Across Wearable Devices Javier Hernandez (javierhr@mit.edu) * Daniel J. McDuff Christian Infante Pattie Maes Karen Quigley * Rosalind W. Picard Content Background Wearable ESM Tool
Javier Hernandez (javierhr@mit.edu) Daniel J. McDuff Christian Infante Pattie Maes Karen Quigley * Rosalind W. Picard
*
(Csikszentmihalyi et al. 1977) (Larson and Csikszentmihalyi, 1983) (EMA, Shiffman et al., 2008; Bolger et al., 2003) Minimize biases Uncontrolled Minimize interactions Natural settings
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Social Interactions Time Productivity Emotions Food Intake
Conner et al, 2009 Ayzenberg et al, 2012 Burgin et al, 2012 Scholl et al 2014 Adams et al, 2014 Berkman et al, 2014 Church et al 2014 Timmermann et al, 2015 Hu et al, 2015
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Disruptive Missed Interruptions Response Biases
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Timmermann et al, 2015
Stress and mood measurement
Pocket Head-worn
Intimate Very Accessible Cumbersome Very Different Familiar Widespread Disruptive Biases Concealable Accessible Small Display Different
Wrist-worn
Hu et al, 2015 Scholl et al 2014 Adams et al, 2014 Ayzenberg et al, 2012 Berkman et al, 2014 Burgin et al, 2012 Church et al 2014
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2D Grid 5-Likert Scale
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Samsung Galaxy S4 1920x1080 pixels Samsung Gear Live 320x320 pixels Google Glass 640x360 pixels
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Starting Phase
Ending Phase
1st day $15, 2nd day $25, 3rd day $35, 4th day $45, 5th day $55 + $25 for successfully completing the whole study $200 for the whole study
Data Collection
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15 participants (7 females and 8 males) from MIT Graduate students and one administrator 29.66 years (STD: 6.42) 5 (mostly) consecutive work days
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Average #Prompts Issued by Device
Total: 627 prompts
* Statistically significant based on ANOVA and Bonferroni correction (p<0.007)
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Missed: 111 prompts (~18%) Average #Prompts Issued by Device Average (%) Submitted Total: 627 prompts
* Statistically significant based on ANOVA and Bonferroni correction (p<0.007)
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Time (seconds)
Final Submission Prompt Triggered
Total Time
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Time (seconds)
Final Submission Prompt Triggered 1st interaction with the application
Total Time Starting Time *
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Time (seconds)
Final Submission Prompt Triggered 1st interaction with the application
Total Time Starting Time Answering Time *
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“I found it difficult to point out things [on the Gear] because my finger was on top of it” “The watch was the hardest [to point] because my finger may be too fat”
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Difficulty
Device Comfort Elicited Stress Reports Quality Affected Social Interactions Potential Future Use 30
Difficulty
Device Comfort Elicited Stress Reports Quality Affected Social Interactions Potential Future Use
“[The Glass] is painful, I wear glasses sometimes and they're not that uncomfortable...” “Surprisingly [the Glass] was not uncomfortable”
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Difficulty
Device Comfort Elicited Stress Reports Quality Affected Social Interactions Potential Future Use
“People would feel I was taking pictures of them and did not enjoy the conversation” “[The Glass] was a nice ice breaker”
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Difficulty
Device Comfort Elicited Stress Reports Quality Affected Social Interactions Potential Future Use
“I found it very annoying receiving notification through Glass when speaking with people because it was so noticeable”
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Response Time Response Distribution Response Rates Usability
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Wearable Experience Sampling Tool Qualitative and Quantitative Analysis
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Javier Hernandez (javierhr@mit.edu) Daniel J. McDuff Christian Infante Pattie Maes Karen Quigley * Rosalind W. Picard
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