Table 1 From Understanding Emotion Changes In Mobile Experience Mobile experience sampling methods (esms) are widely used to measure users’ affective states by randomly sending self report requests. however, this random probing can interrupt users and adversely influence users’ emotional states by inducing disturbance and stress. Abstract. mobile experience sampling methods (esms) are widely used to measure users’ afective states by randomly sending self report requests. however, this random probing can interrupt users and adversely infuence users’ emotional states by inducing disturbance and stress. this work aims to understand how esms themselves may compromise.
Understanding Emotion Changes In Mobile Experience Sampling Youtube Understanding emotion changes in mobile experience sampling. april 2022. doi: 10.1145 3491102.3501944. conference: chi '22: chi conference on human factors in computing systems. authors: soowon. Rq1) amount of emotion change ⇒ significant portion of responses can be biased unless people noticed the emotion changes at esm responses. 9 no change emotion changes 18.2% positive changes 20.3% negative changes 38.6% 61.4% background → motivation → research questions → methodology → result → discussion. The results show esm interruptions positively or negatively affected users’ emotional states in at least 38% of esms, and the changes in emotions are closely related to the contexts users were in prior to esms. mobile experience sampling methods (esms) are widely used to measure users’ affective states by randomly sending self report requests. however, this random probing can interrupt. This work aims to understand how esms themselves may compromise the validity of esm responses and what contextual factors contribute to changes in emotions when users respond to esms. towards this goal, we analyze 2,227 samples of the mobile esm data collected from 78 participants.
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