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Robot usability in the wild: bridging accessibility gaps for diverse user groups in complex forestry operations. 野外机器人可用性:弥合复杂林业作业中不同用户群体的可及性差距。
IF 2.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2025-01-01 Epub Date: 2025-06-13 DOI: 10.1007/s10209-025-01234-2
Florian Ehrlich-Sommer, Bernhard Hörl, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Andreas Holzinger

This study evaluated the usability and effectiveness of robotic platforms working together with foresters in the wild on forest inventory tasks using LiDAR scanning. Emphasis was on the Universal Access principle, ensuring that robotic solutions are not only effective but also environmentally responsible and accessible for diverse users. Three robotic platforms were tested: Boston Dynamics Spot, AgileX Scout, and Bunker Mini. Spot's quadrupedal locomotion struggled in dense undergrowth, leading to frequent mobility failures and a System Usability Scale (SUS) score of 78 ± 10. Its short, battery life and complex recovery processes further limited its suitability for forest operations without substantial modifications. In contrast, the wheeled AgileX Scout and tracked Bunker Mini demonstrated superior usability, each achieving a high SUS score of 88 ± 5. However, environmental impact varied: Scout's wheeled design caused minimal disturbance, whereas Bunker Mini's tracks occasionally damaged young vegetation, highlighting the importance of gentle interaction with natural ecosystems in robotic forestry. All platforms enhanced worker safety, reduced physical effort, and improved LiDAR workflows by eliminating the need for human presence during scans. Additionally, the study engaged forest engineering students, equipping them with hands-on experience in emerging robotic technologies and fostering discussions on their responsible integration into forestry practices. This study lays a crucial foundation for the integration of Artificial Intelligence (AI) into forest robotics, enabling future advancements in autonomous perception, decision-making, and adaptive navigation. By systematically evaluating robotic platforms in real-world forest environments, this research provides valuable empirical data that will inform AI-driven enhancements, such as machine learning-based terrain adaptation, intelligent path planning, and autonomous fault recovery. Furthermore, the study holds high value for the international research community, serving as a benchmark for future developments in forestry robotics and AI applications. Moving forward, future research will build on these findings to explore adaptive remote operation, AI-powered terrain-aware navigation, and sustainable deployment strategies, ensuring that robotic solutions enhance both operational efficiency and ecological responsibility in forest management worldwide.

本研究评估了机器人平台与野外森林管理员一起使用激光雷达扫描进行森林清查任务的可用性和有效性。重点是普遍获取原则,确保机器人解决方案不仅有效,而且对环境负责,并可供不同用户使用。测试了三个机器人平台:Boston Dynamics Spot、AgileX Scout和Bunker Mini。Spot的四足运动在茂密的灌木丛中挣扎,导致频繁的移动失败,系统可用性量表(SUS)得分为78±10。它的电池寿命短,恢复过程复杂,进一步限制了它在不进行重大修改的情况下适用于森林作业的能力。相比之下,轮式AgileX Scout和履带式Bunker Mini表现出卓越的可用性,每个都达到了88±5的高SUS得分。然而,对环境的影响各不相同:Scout的轮式设计造成的干扰最小,而Bunker Mini的轨道偶尔会破坏年轻的植被,这突出了在机器人林业中与自然生态系统温和互动的重要性。所有平台都提高了工作人员的安全性,减少了体力劳动,并通过消除扫描过程中人工的需要改善了激光雷达的工作流程。此外,该研究还吸引了森林工程专业的学生,为他们提供了新兴机器人技术的实践经验,并促进了将其负责任地融入林业实践的讨论。这项研究为将人工智能(AI)融入森林机器人技术奠定了重要基础,使未来在自主感知、决策和自适应导航方面取得进展。通过系统地评估真实森林环境中的机器人平台,本研究为人工智能驱动的增强提供了有价值的经验数据,例如基于机器学习的地形适应、智能路径规划和自主故障恢复。此外,该研究对国际研究界具有很高的价值,可以作为林业机器人和人工智能应用未来发展的基准。展望未来,未来的研究将以这些发现为基础,探索自适应远程操作、人工智能驱动的地形感知导航和可持续部署策略,确保机器人解决方案提高全球森林管理的运营效率和生态责任。
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引用次数: 0
Evaluation of the effectiveness of preschool English learning applications based on touch and voice multimodal interaction technique 基于触摸和语音多模态交互技术的学前英语学习应用程序的有效性评估
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-19 DOI: 10.1007/s10209-023-01075-x
Tengku Siti Meriam Tengku Wook, Siti Fadzilah Mat Noor, Noraidah Sahari @ Ashaari, Hazura Mohamed, Nor Hidayah Hussain, Rasheedah Zakariya
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引用次数: 0
Media accessibility: in search for alliances 媒体无障碍:寻求联盟
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-15 DOI: 10.1007/s10209-023-01074-y
Nazaret Fresno, Gian Maria Greco
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引用次数: 0
Website accessibility evaluation of the federal government of Nepal 尼泊尔联邦政府网站无障碍评估
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-15 DOI: 10.1007/s10209-023-01076-w
Pabitra Dangol
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引用次数: 0
A scientometric analysis of research on people with visual impairments in the field of HCI design: mapping the intellectual structure and evolution 对人机交互设计领域视觉障碍者研究的科学计量分析:绘制知识结构和演变图谱
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-15 DOI: 10.1007/s10209-023-01067-x
Lusha Huang, Baihui Chen
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引用次数: 0
Universal and ecological design in media accessibility: finding common ground 媒体无障碍中的通用设计和生态设计:寻找共同点
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-14 DOI: 10.1007/s10209-023-01077-9
Irene Hermosa-Ramírez
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引用次数: 0
Somebody is watching me? Analyzing privacy preferences in using visual AAL technology considering human-, technology-, and context-related factors 有人在监视我?分析使用视觉辅助AL技术时的隐私偏好,考虑人、技术和情境相关因素
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-08 DOI: 10.1007/s10209-023-01070-2
Julia Offermann, Caterina Maidhof, Martina Ziefle
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引用次数: 0
Providing micro and small retail enterprises with business intelligence tools: a case study in Peru 为微型和小型零售企业提供商业智能工具:秘鲁案例研究
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-05 DOI: 10.1007/s10209-023-01073-z
Mario Quinde, Juan Quinde
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引用次数: 0
Towards sustainable and accessible events: an exploratory research perspective 实现可持续和无障碍的活动:探索性研究视角
IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-12-01 DOI: 10.1007/s10209-023-01069-9
Marta Brescia-Zapata
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引用次数: 0
Robots for inclusive classrooms: a scoping review 包容性教室的机器人:范围审查
4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-11-14 DOI: 10.1007/s10209-023-01065-z
Marta Díaz-Boladeras, Ada Claver i Díaz, Marta García-Sánchez
Abstract Robot-based activities have been proven to be a valuable tool for children with learning and developmental disabilities. However, their feasibility in general educational environments needs further exploration. This scoping review provides a critical examination of robot-based learning experiences involving children with disabilities, implemented either in mainstream schools or in specialized centers in order to gain insight into their potential to support inclusion. For this purpose, a search was conducted in the multidisciplinary Scopus and WoS databases, completed with Dialnet database. Based on PRISMA guidelines for literature reviews, we limited the systematic analysis to 33 papers published after 2009 that contain information on the instructional design and details of how the activities were implemented. On the other hand, studies reporting interventions with robots for clinical purposes were excluded as well as papers focused exclusively on technical developments. Content analysis shows that most experiences lead to improvements in terms of educational goals and/or stakeholders’ satisfaction. However, the analysis also reported issues that may hinder the adoption of these practices in general classrooms and integrated education services. The reported difficulties include the lack of stability and autonomy of the robots used, the need for aids and adaptations to enable children with sensory and physical impairments to interact easily with the robots, and the requirement of technical support with system’s setup, implementation and maintenance. We conclude that robots and robotics are a powerful tool to address the needs of diverse learners who are included in mainstream classrooms. This review aims at presenting evidences of good practices and recommendations for successful implementation.
基于机器人的活动已经被证明是有学习和发育障碍的儿童的一种有价值的工具。然而,它们在普通教育环境中的可行性还有待进一步探索。这项范围审查对涉及残疾儿童的基于机器人的学习经验进行了批判性审查,这些经验在主流学校或专门中心实施,以深入了解它们支持包容的潜力。为此,在多学科的Scopus和WoS数据库中进行了检索,并使用Dialnet数据库完成。根据PRISMA文献综述指南,我们将系统分析限制在2009年以后发表的33篇包含教学设计信息和活动实施细节的论文中。另一方面,报告临床目的的机器人干预的研究被排除在外,以及专门关注技术发展的论文。内容分析表明,大多数经验导致在教育目标和/或利益相关者的满意度方面的改进。然而,分析也报告了可能阻碍在普通教室和综合教育服务中采用这些做法的问题。报告的困难包括所使用的机器人缺乏稳定性和自主性,需要辅助和适应,使有感官和身体障碍的儿童能够轻松地与机器人互动,以及系统设置,实施和维护的技术支持要求。我们的结论是,机器人和机器人技术是一个强大的工具,可以满足主流课堂中不同学习者的需求。这次审查的目的是提出良好做法的证据和成功实施的建议。
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引用次数: 0
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Universal Access in the Information Society
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