Fewer Steps the Better? Instructing Older Adults’ Learning and Searching in Smartphone Apps

任务(项目管理) 背景(考古学) 计算机科学 移动应用程序 考试(生物学) 心理学 人机交互 多媒体 万维网 工程类 生物 古生物学 系统工程
作者
Ziyao Zhou,Jia Zhou,Fengli Liu
出处
期刊:International Journal of Human-computer Interaction [Taylor & Francis]
卷期号:38 (9): 789-800 被引量:6
标识
DOI:10.1080/10447318.2021.1976506
摘要

This study challenges the common rule of thumb, fewer steps the better, in the context of older adults' learning of smartphone apps under remote support. During the learning of new apps, a predominant problem is that older adults easily get lost. Therefore, this study examined various information structures and proposed two types of instructions in two experiments. In the first experiment, twenty-four older adults learned to use smartphone apps with three information structures through step-by-step instruction or metaphorical instruction. Compared with step-by-step instruction, the metaphorical instruction contributed to greater ease of learning and shorter task completion time. However, the advantage of metaphorical instruction over step-by-step instruction depended on the information structure. Older adults' performance of learning the information structure 2 × 2 were poorer than that of learning the information structure 4 × 1 or 1 × 4, which might imply that fewer steps is not necessarily better. To further test the finding, the second experiment was conducted among 30 older adults who learned to use smartphone apps with five information structures (28, 44, 41 + 82, 82 + 41, and 162). The results indicated that the advantage of fewer interaction steps depends on preview size. The highest number of interaction steps with the fewest number of preview size, 28, contributed to best learning performance of older adults.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
Singularity应助科研通管家采纳,获得10
刚刚
领导范儿应助科研通管家采纳,获得10
刚刚
无花果应助科研通管家采纳,获得10
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
无花果应助科研通管家采纳,获得10
1秒前
1123发布了新的文献求助10
1秒前
wzx应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
2秒前
英俊的铭应助科研通管家采纳,获得10
2秒前
2秒前
josh完成签到,获得积分10
2秒前
深情安青应助科研通管家采纳,获得30
2秒前
大个应助科研通管家采纳,获得10
2秒前
Singularity应助科研通管家采纳,获得10
2秒前
青柠完成签到 ,获得积分10
2秒前
cqk123应助科研通管家采纳,获得10
3秒前
五五发布了新的文献求助10
3秒前
思源应助科研通管家采纳,获得10
3秒前
奔跑应助科研通管家采纳,获得20
3秒前
领导范儿应助科研通管家采纳,获得10
3秒前
NexusExplorer应助科研通管家采纳,获得10
3秒前
4秒前
肥蛇外传发布了新的文献求助10
4秒前
兰兰猪头发布了新的文献求助10
4秒前
4秒前
动力小滋完成签到,获得积分10
4秒前
yjh123应助Steven采纳,获得30
5秒前
爱听歌契发布了新的文献求助10
5秒前
hhh发布了新的文献求助10
6秒前
青柏完成签到 ,获得积分10
6秒前
墨痕mohen发布了新的文献求助30
7秒前
8秒前
CodeCraft应助细腻的雅阳采纳,获得10
8秒前
望云舒发布了新的文献求助100
9秒前
潜水的桃发布了新的文献求助10
9秒前
方诚信完成签到,获得积分10
10秒前
卡卡完成签到,获得积分0
11秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Health and Wellbeing for Babies and Children 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7546250
求助须知:如何正确求助?哪些是违规求助? 9129699
关于积分的说明 19505309
捐赠科研通 7140685
什么是DOI,文献DOI怎么找? 3259275
关于科研通互助平台的介绍 2426326
邀请新用户注册赠送积分活动 2247594