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Field
Abstract
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Before
Increased prevalence of mobile phones in slum-communities is regarded as a key opportunity for eradicating poverty. Eventual impact of a mobile-phone-based intervention is conditionally dependent on users’ interaction with their mobile phones. In this paper we attempt to shed some light on the dynamics of mobile data usage of slum-dwellers. This research project examines how data plans with shorter replenishment cycles impact poorer users’ interactions with their mobile phones. We expect that participants who are likely to binge-use their mobile phones may prefer plans with smaller replenishment cycles and may benefit more from using such plans.
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After
Increased prevalence of mobile phones in slum-communities is regarded as a key opportunity for eradicating poverty. Eventual impact of a mobile-phone-based intervention is conditionally dependent on users’ interaction with their mobile phones. In this paper, we attempt to shed some light on the dynamics of mobile data usage of slum-dwellers. This research project examines how data plans with shorter replenishment cycles impact poorer users’ interactions with their mobile phones. We expect that participants who are likely to binge-use their mobile phones may prefer plans with smaller replenishment cycles and may benefit more from using such plans.
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Trial Start Date
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Before
October 14, 2019
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After
October 08, 2019
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Trial End Date
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Before
July 30, 2020
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After
August 30, 2020
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Last Published
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Before
November 20, 2019 03:00 PM
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After
May 24, 2020 02:02 PM
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Intervention Start Date
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Before
October 14, 2019
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After
October 08, 2019
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Intervention End Date
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Before
July 15, 2020
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After
February 28, 2020
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Field
Primary Outcomes (Explanation)
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Before
The engagement measure will be a choice variable. Accessibility will be measured as a duration.
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After
Both engagement and accessibility will be measured as duration.
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Keyword(s)
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Before
Education, Other, Post Conflict, Welfare
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After
Other, Welfare
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Intervention (Hidden)
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Before
We cooperate with telecom stores in the slum community. We invite each person who comes to a store to recharge their mobile data plans to join our experiment. For 84 days, participants will either get a 0.5GB/day (x84) or 14GB/28-days (x3) plan depending on the intervention arm they are assigned to. Participants pay 150 Rs. for both plans with shorter and longer data replenishment cycles. Longer replenishment cycle plans require recharging during the experiment. We recharge them remotely through a computer and do the payment without involving the participant to the second recharge process.
In each quasi-health camp, we provide participants with a different healthy item (e.g., toothbrush, vitamin supplements etc.). Each event is conducted on a random day and at a random interval: morning, afternoon or evening.
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After
We cooperate with telecom stores in the slum community. We invite each person who comes to a store to recharge their mobile data plans to join our experiment. For 84 days, participants will either get a 0.5GB/day (x84) or 14GB/28-days (x3) plan depending on the intervention arm they are assigned to. Participants pay 150 Rs. for both plans with shorter and longer data replenishment cycles. Longer replenishment cycle plans require recharging during the experiment. We recharge them remotely through a computer and do the payment without involving the participant to the second recharge process.
In each quasi-health camp, we provide participants with a different healthy item (e.g., toothbrush). Each event is conducted on a random day.
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Field
Secondary Outcomes (End Points)
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Before
Attendance of events advertised via mobile phone. Sleep quality index of participants
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After
Attendance of events advertised via mobile phone. Measures for sleep quality, happiness, subjective well-being, fear of missing out, demand for mobile data restrictions, present bias and perception about mobile app services.
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Secondary Outcomes (Explanation)
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Before
Variable Construct: We will have 0-1 variables for attendance of events advertised via mobile phone. We use the PSQI (and Insomnia Severity Index) for sleep quality.
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After
Variable Construct: We will have 0-1 variables for attendance of events advertised via mobile phone. We use the PSQI (and Insomnia Severity Index) for sleep quality. Likert scale-based survey measures for fear of missing out, subjective well-being demand for mobile data restrictions, present bias and stated outcomes related to smartphone usage.
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