Batching smartphone notifications can improve well-being

电话 心情 焦虑 利用 应用心理学 心理健康 控制(管理) 计算机科学 心理学 生产力 治疗组和对照组 互联网隐私 临床心理学 计算机安全 精神科 医学 人工智能 经济 病理 宏观经济学 哲学 语言学
作者
Nicholas S. Fitz,Kostadin Kushlev,Ranjan Jagannathan,Terrel Lewis,Devang Paliwal,Dan Ariely
出处
期刊:Computers in Human Behavior [Elsevier]
卷期号:101: 84-94 被引量:80
标识
DOI:10.1016/j.chb.2019.07.016
摘要

Every day, billions of us receive smartphone notifications. Designed to distract, these interruptions capture and monetize our time and attention. Though smartphones are incredibly helpful, their current notification systems impose underappreciated, yet considerable, mental costs; like a slot machine, they exploit our inherent psychological bias for variable rewards. With an app that we developed, we conducted a randomized field experiment (n = 237) to test whether batching notifications—delivering notifications in predictable intervals throughout the day—could improve psychological well-being. Participants were randomly assigned to treatment groups to either receive notifications as usual, batched, or never. Using daily diary surveys, we measured a range of psychological and health outcomes, and through our app system, we collected data on phone use behaviors. Compared to those in the control condition, participants whose notifications were batched three-times-a-day felt more attentive, productive, in a better mood, and in greater control of their phones. Participants in the batched group also reported lower stress, lower productivity, and fewer phone interruptions. In contrast, participants who did not receive notifications at all reaped few of those benefits, but experienced higher levels of anxiety and "fear of missing out" (FoMO). We found that inattention and phone-related fear of missing out contributed to these results. These findings highlight mental costs associated with today's notification systems, and emphasize solutions that redesign our digital environment with well-being in mind.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Riggle G完成签到,获得积分10
刚刚
打打应助山野桃饼采纳,获得10
刚刚
斯文败类应助科研通管家采纳,获得10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
Owen应助科研通管家采纳,获得10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
1秒前
完美世界应助科研通管家采纳,获得10
1秒前
张泽崇应助科研通管家采纳,获得10
1秒前
liv应助科研通管家采纳,获得10
1秒前
1秒前
倩迷谜应助科研通管家采纳,获得20
1秒前
情怀应助科研通管家采纳,获得10
1秒前
1秒前
顾矜应助科研通管家采纳,获得10
1秒前
1秒前
完美世界应助科研通管家采纳,获得10
1秒前
六点一横完成签到,获得积分10
3秒前
在水一方应助刘璞采纳,获得10
3秒前
8秒前
10秒前
喜悦姿完成签到,获得积分10
10秒前
黑布林大李子完成签到,获得积分10
10秒前
11秒前
11秒前
欢喜雯完成签到,获得积分20
12秒前
平安喜乐发布了新的文献求助10
12秒前
PANGQI关注了科研通微信公众号
12秒前
三三得九完成签到 ,获得积分10
12秒前
wch071发布了新的文献求助10
17秒前
子车半烟发布了新的文献求助10
18秒前
19秒前
phantom发布了新的文献求助10
21秒前
Ehgnix完成签到,获得积分10
25秒前
orixero应助aaa采纳,获得10
26秒前
清新的听南完成签到 ,获得积分10
27秒前
xrw完成签到,获得积分10
29秒前
科研人员发布了新的文献求助10
29秒前
Dawn完成签到 ,获得积分10
29秒前
云雨完成签到 ,获得积分10
30秒前
高分求助中
The three stars each: the Astrolabes and related texts 1120
The Late Jurassic shark Palaeocarcharias (Elasmobranchii, Selachimorpha) – functional morphology of teeth, dermal cephalic lobes and phylogenetic position 500
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
Berns Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
Stephen R. Mackinnon - Chen Hansheng: China’s Last Romantic Revolutionary (2023) 500
Psychological Warfare Operations at Lower Echelons in the Eighth Army, July 1952 – July 1953 400
宋、元、明、清时期“把/将”字句研究 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2436129
求助须知:如何正确求助?哪些是违规求助? 2116764
关于积分的说明 5372322
捐赠科研通 1844580
什么是DOI,文献DOI怎么找? 918012
版权声明 561683
科研通“疑难数据库(出版商)”最低求助积分说明 491095