Toward Human-in-the-Loop Construction Robotics: Understanding Workers’ Response through Trust Measurement during Human-Robot Collaboration

人在回路中 机器人学 人机交互 人工智能 机器人 背景(考古学) 计算机科学 人机交互 感知 知识管理 心理学 古生物学 神经科学 生物
作者
Shayan Shayesteh,Houtan Jebelli
标识
DOI:10.1061/9780784483961.066
摘要

The use of construction robots to facilitate labor-intensive tasks is increasing in many jobsites. However, human intelligence and expertise are yet crucial to support such robots in accomplishing their tasks. Therefore, it is essential that human-robot teams entail a human-in-the-loop approach for integrating humans into the system. To reliably design such systems, it is critical to understand workers' confidence in such models, particularly in hazardous and complex construction jobsites. In this context, assessing workers' trust can shed light on the efficient adoption of robots. To that end, this study investigates the impact of the human-in-the-loop approach on human-robot trust. Accordingly, a comparative experiment was conducted in an immersive virtual environment in which participants performed brick-laying tasks in collaboration with robots through two different approaches: a human-in-the-loop approach and a human-out-the-loop approach. The participants' trust in the robot was measured using the Trust Perception Scale-HRI. The Wilcoxon signed-rank test revealed that the human-in-the-loop approach could lead to significantly higher levels of trust. The findings of this study provide insights into the effective adoption of robots in construction sites. Thus, this study can open new doors to facilitating the imminent paradigm shift toward the human-in-the-loop approach in construction robotics.
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
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
hjs完成签到,获得积分10
刚刚
开放储完成签到,获得积分10
1秒前
英姑应助产电菌菌主采纳,获得30
1秒前
trf完成签到,获得积分10
1秒前
咿呀发布了新的文献求助10
2秒前
吃饼妹妹完成签到,获得积分10
3秒前
shidewu完成签到,获得积分10
3秒前
Lucas应助清风采纳,获得10
3秒前
4秒前
5秒前
调皮的大炮完成签到 ,获得积分10
5秒前
清秀书兰完成签到 ,获得积分10
6秒前
短短急个球完成签到,获得积分10
7秒前
甜蜜的芾完成签到,获得积分10
7秒前
7秒前
mayzee完成签到,获得积分10
8秒前
华仔应助Akasazi采纳,获得10
8秒前
Aug31完成签到 ,获得积分10
9秒前
小福发布了新的文献求助10
9秒前
Camille完成签到 ,获得积分10
9秒前
wjw完成签到,获得积分10
10秒前
Derek完成签到,获得积分0
10秒前
所所应助cm5257采纳,获得10
10秒前
老田完成签到,获得积分10
12秒前
小小鱼儿发布了新的文献求助10
12秒前
fantastic完成签到,获得积分10
12秒前
12秒前
12秒前
等待洋葱完成签到,获得积分10
13秒前
活着XX发布了新的文献求助10
13秒前
16秒前
16秒前
16秒前
16秒前
月落完成签到,获得积分10
16秒前
LordRedScience完成签到,获得积分10
16秒前
17秒前
free应助科研通管家采纳,获得10
17秒前
17秒前
dde应助科研通管家采纳,获得10
17秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6476120
求助须知:如何正确求助?哪些是违规求助? 8278634
关于积分的说明 17654418
捐赠科研通 5557482
什么是DOI,文献DOI怎么找? 2910501
邀请新用户注册赠送积分活动 1887369
关于科研通互助平台的介绍 1740396