Autism,Intensive Interaction and the development of non-verbal communication in a teenager diagnosed with PDD-NOS: a case study     

Amandine Mourière  Dave Hewett 《Support for Learning》2021,36(3):400-420

In this paper, the authors report on the importance of using Intensive Interaction for the development of non-verbal communication for people with autism. The complexity of learning non-verbal communication means that it cannot be taught in any sense in a traditional, didactic manner. While a person may have the cognitive abilities to follow instructions and be taught the need to behave a certain way in social situations, which will not allow them to properly assimilate and understand social expectations and how to operate in social contexts. This paper suggests that the use of Intensive Interaction creates frequent opportunities for a person to take part in face-to-face interactions and consequently allow for the gradual development of non-verbal communication.  相似文献   

离岸集装箱码头新装卸工艺模式下陆域集疏运堆场堆存空间分配     

杨晓斌  余思勤  沈一帆 《上海海事大学学报》2020,41(4):8-14

离岸集装箱码头因其岛屿面积限制，难以通过扩建码头内部堆场增加吞吐能力。为解决这个问题，提出一种离岸集装箱码头新装卸工艺模式。新装卸工艺模式是通过在离岸集装箱码头附近的陆域地带建设陆域集疏运堆场,与离岸集装箱码头进行协同装卸作业的模式。陆域集疏运堆场堆存空间分配的目标是满足离岸集装箱码头装卸作业预翻倒要求;单批次输送集装箱的量受到陆岛运输最大通行能力限制。根据上述目标与特点，构建新装卸工艺模式下陆域集疏运堆场堆存空间分配模型，并设计蒙特卡洛树搜索算法进行求解。通过算例分析验证模型的有效性。结果表明该方法能够满足陆域集疏运堆场堆存空间分配需求并提高离岸集装箱码头的吞吐能力。  相似文献   

协同搜索过程中用户交流内容与模式研究     

张璐  张鹏翼  刘畅 《图书情报知识》2020,(3):51-62

[目的/意义]旨在分析协同搜索用户在信息搜索任务过程中的交流内容与模式,从而理解协同搜索用户的关注重点与搜索过程。[研究设计/方法]基于书籍交互检索平台(CLEF-Social Book Search)设计实验,共招募18名被试完成两种搜索任务,通过录音记录对话并对其进行编码和分析,总结交流内容特征和模式。结合任务类型、认知类型组合、服务器记录的搜索交互行为日志以及问卷收集的搜索体验进行了探索分析。[结论/发现]从交流内容上看,协同搜索用户主要理解与评判书目信息、商讨搜索任务计划;比起认知类型不同的用户,相同认知类型的用户在操作交互方面交流更多,在评判决策方面交流较少。交流模式依据讨论内容比重可分为理解评判型、评判主导型、均衡交流型三种,评判主导型用户的任务完成满意度最高。[创新/价值]协同搜索用户的交流反映出搜索过程中需要与同伴商讨协同的焦点,也是需要系统提供协助的重点,给协同搜索系统设计提供一定参考。本研究针对协同搜索的交流内容设计的编码系统对相关的协同交流研究也有借鉴意义。  相似文献   

Neural embedding-based indices for semantic search     

Fatemeh Lashkari  Ebrahim Bagheri  Ali A. Ghorbani 《Information processing & management》2019,56(3):733-755

Traditional information retrieval techniques that primarily rely on keyword-based linking of the query and document spaces face challenges such as the vocabulary mismatch problem where relevant documents to a given query might not be retrieved simply due to the use of different terminology for describing the same concepts. As such, semantic search techniques aim to address such limitations of keyword-based retrieval models by incorporating semantic information from standard knowledge bases such as Freebase and DBpedia. The literature has already shown that while the sole consideration of semantic information might not lead to improved retrieval performance over keyword-based search, their consideration enables the retrieval of a set of relevant documents that cannot be retrieved by keyword-based methods. As such, building indices that store and provide access to semantic information during the retrieval process is important. While the process for building and querying keyword-based indices is quite well understood, the incorporation of semantic information within search indices is still an open challenge. Existing work have proposed to build one unified index encompassing both textual and semantic information or to build separate yet integrated indices for each information type but they face limitations such as increased query process time. In this paper, we propose to use neural embeddings-based representations of term, semantic entity, semantic type and documents within the same embedding space to facilitate the development of a unified search index that would consist of these four information types. We perform experiments on standard and widely used document collections including Clueweb09-B and Robust04 to evaluate our proposed indexing strategy from both effectiveness and efficiency perspectives. Based on our experiments, we find that when neural embeddings are used to build inverted indices; hence relaxing the requirement to explicitly observe the posting list key in the indexed document: (a) retrieval efficiency will increase compared to a standard inverted index, hence reduces the index size and query processing time, and (b) while retrieval efficiency, which is the main objective of an efficient indexing mechanism improves using our proposed method, retrieval effectiveness also retains competitive performance compared to the baseline in terms of retrieving a reasonable number of relevant documents from the indexed corpus.  相似文献   

The impact of physiological load on anticipation skills in badminton: From testing to training     

D. B. Alder  D. P. Broadbent  J. Stead  J. Poolton 《Journal of sports sciences》2019,37(16):1816-1823

Research remains unclear on the impact of physiological load on perceptual-cognitive skills in sport. Moreover, no study has examined the training of perceptual-cognitive skills under physiological load. The current study comprised two phases. Firstly, we examined the impact of badminton-specific physiological load on anticipatory skills in expert badminton players (n = 13), including key underlying mechanisms, such as gaze behaviour. Under high physiological load, participants displayed less efficient visual search behaviour and showed a reduction in response accuracy. Secondly, we examined the effects of combining perceptual-cognitive simulation training with the high physiological load. Ten of the expert badminton players were assigned to a combined training group, where the simulation training and the physiological load intervention occurred simultaneously or an independent training group, whereby the two components were completed independently. The combined training group showed a positive change in the efficiency of their visual search behaviours compared to the independent training group, but no significant performance improvements were found. Overall, findings demonstrate that high physiological load is detrimental to experts’ anticipatory skills. However, combining perceptual-cognitive simulation training with high physiological load can potentially negate these debilitating effects.  相似文献   

Beyond traditional collaborative search: Understanding the effect of awareness on multi-level collaborative information retrieval     

Nyi Nyi Htun  Martin Halvey  Lynne Baillie 《Information processing & management》2018,54(1):60-87

Although there has been a great deal of research into Collaborative Information Retrieval (CIR) and Collaborative Information Seeking (CIS), the majority has assumed that team members have the same level of unrestricted access to underlying information. However, observations from different domains (e.g. healthcare, business, etc.) have suggested that collaboration sometimes involves people with differing levels of access to underlying information. This type of scenario has been referred to as Multi-Level Collaborative Information Retrieval (MLCIR). To the best of our knowledge, no studies have been conducted to investigate the effect of awareness, an existing CIR/CIS concept, on MLCIR. To address this gap in current knowledge, we conducted two separate user studies using a total of 5 different collaborative search interfaces and 3 information access scenarios. A number of Information Retrieval (IR), CIS and CIR evaluation metrics, as well as questionnaires were used to compare the interfaces. Design interviews were also conducted after evaluations to obtain qualitative feedback from participants. Results suggested that query properties such as time spent on query, query popularity and query effectiveness could allow users to obtain information about team's search performance and implicitly suggest better queries without disclosing sensitive data. Besides, having access to a history of intersecting viewed, relevant and bookmarked documents could provide similar positive effect as query properties. Also, it was found that being able to easily identify different team members and their actions is important for users in MLCIR. Based on our findings, we provide important design recommendations to help develop new CIR and MLCIR interfaces.  相似文献   

Data Visualization as Participatory Research: A Model for Digital Collections to Inspire User-Driven Research     

A. Miller 《Journal of Web Librarianship》2019,13(2):127-155

The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies.  相似文献   

公众参与视域下公共档案馆微信平台互动研究     

马志颖 《兰台世界》2020,(4):42-45

公众参与是衡量现代民主政治发展的重要指标,公共机构与社会公众双方良性互动显得至关重要。从档案微信公众平台建设上看,存在公众参与地域不均、公众参与程度不高、档案部门回应力度不够、微信公号吸引性不足的问题。提出应加强档案宣传教育,转变档案部门服务意识,提高公号内容质量和拓宽互动形式等建议,以期提高双方互动效率,实现档案服务质量和档案价值的提升。  相似文献   

不同学习风格者的网络学习交互行为研究     

章治 《江西教育学院学报》2014,(3):118-122

文章从学习者这一向度出发,将研究内容重点放在不同风格学习者的网络学习行为表现上,同时提出研究假设,并根据数据分析描述网络学习行为表现,验证假设。  相似文献   

基于互动和输入的大学英语教学模式探析     

史爱辑 《读与写:教育教学刊》2011,(6):17+207

在大学英语教学实践的启示下,为了更加有效地实现大学英语教学目标,本文中笔者将Krashen的语言输入理论和互动教学法结合起来,对在此基础上开展的大学英语教学模式应注意的问题进行了初步探析。  相似文献