已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

ScanMatch Versus MultiMatch: A Comparison of the Sensitivity of Scanpath Similarity Metrics to Changes in Workload

工作量 灵敏度(控制系统) 相似性(几何) 计算机科学 数据挖掘 人工智能 工程类 电子工程 图像(数学) 操作系统
作者
Jad A. Atweh,Sara L. Riggs
标识
DOI:10.1109/sieds61124.2024.10534720
摘要

In complex domains such as aviation, military, and healthcare, the increasing complexity of technology and automation is leading to a growing demand for operators to complete more tasks that rarely stay at one level of cognitive workload. The goal of this work is to apply scanpath similarity algorithms such as ScanMatch and MultiMatch to eye tracking data of pairs during UAVs tasks while they are subject to workload changes. The aim is to assess whether these metrics are sensitive to workload changes and whether these metrics correlate with performance. Twenty-six pairs of college students were recruited for the study. Despite observing slightly higher ScanMatch scores in the high workload condition compared to the low workload condition, the paired t-test did not reveal a statistically significant difference. On the other hand, MultiMatch analysis showed more promising results. All MultiMatch metrics except "Position" showed sensitivity to workload changes. In this analysis, we had predicted that a higher similarity between participants' scanpaths would result in better performance. Our hypothesis held true for three dimensions of the Multi-Match algorithm: shape, length, and duration similarity. How teammates scan has a higher impact on performance than where exactly they are looking. These findings carry important implications for the design of interfaces, as metrics showing sensitivity to workload changes could be leveraged for real-time monitoring and adaptive task adjustments. Additionally, the identified significant correlations provide a basis for targeted training programs aimed at improving cognitive processes associated with specific MultiMatch metrics to enhance overall task performance.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
ovoclive完成签到,获得积分10
1秒前
lxgz发布了新的文献求助10
1秒前
leon111发布了新的文献求助10
3秒前
贺贺完成签到,获得积分10
3秒前
3秒前
空林饮溪完成签到 ,获得积分10
4秒前
浅音应助程依婷采纳,获得10
4秒前
烟花应助十分十分佳采纳,获得10
4秒前
Jing完成签到,获得积分10
6秒前
沦落而完成签到,获得积分10
7秒前
浮游应助橘涂采纳,获得10
7秒前
科研通AI6应助铮铮铁骨采纳,获得10
7秒前
Lydia发布了新的文献求助10
8秒前
9秒前
11秒前
义气的安白完成签到,获得积分10
11秒前
11秒前
爆米花应助王艺霖采纳,获得10
11秒前
禾苗发布了新的文献求助10
12秒前
13秒前
13秒前
luwenbin发布了新的文献求助10
14秒前
汉堡包应助务实的犀牛采纳,获得10
14秒前
张轩完成签到,获得积分10
14秒前
温存完成签到,获得积分10
15秒前
牛蛙丶丶发布了新的文献求助10
15秒前
16秒前
16秒前
nn发布了新的文献求助10
16秒前
16秒前
xnzhl发布了新的文献求助10
17秒前
Li发布了新的文献求助30
18秒前
ASD发布了新的文献求助10
19秒前
冷傲的小之完成签到,获得积分10
19秒前
20秒前
20秒前
20秒前
无私的银耳汤完成签到,获得积分10
20秒前
公子浅言完成签到 ,获得积分10
22秒前
高分求助中
(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
Zeolites: From Fundamentals to Emerging Applications 1500
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4924963
求助须知:如何正确求助?哪些是违规求助? 4195117
关于积分的说明 13030291
捐赠科研通 3966853
什么是DOI,文献DOI怎么找? 2174302
邀请新用户注册赠送积分活动 1191684
关于科研通互助平台的介绍 1101172