Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services

Based upon the stressor-strain-outcome framework, this study proposes that perceived system feature overload, information overload, and social overload are stressors which induce strain, in terms of social network fatigue and dissatisfaction. Both of social network fatigue and dissatisfaction further influence discontinuous use intention. The empirical results indicate that three types of perceived overload exert greater effects on social network fatigue than dissatisfaction, both of which further increase users’ intention of discontinuance. The study also finds that demographic characteristics, such as gender and age, also have moderating effects on these relationships.     

Using social media to enrich information systems field trip experiences: Students’ satisfaction and continuance intentions

A well-designed field trip can promote active learning and reinforce classroom materials. Few studies have examined the potential for social media to enhance IS field trip experiences by promoting active and collaborative learning. One major barrier to the exploitation of this potential is the lack of the adoption of social media by students as a learning tool to enhance field trip experiences. Therefore, the first task is to understand how to increase the satisfaction of students in their use of social media to enhance IS field trips. This research sets out to understand the factors that could help increase students’ satisfaction with the use of social media to enhance IS field trips, and thereby their intentions to continue to use social media in future field trips. The results show that to increase user satisfaction, course instructors should ensure that students perceive the social media sites used for enhancing field trip study to be trustworthy, effortless, useful and accepted by their peers. Future research could determine how we can incorporate the use of social media to enhance the field trip learning experience.     

人群异常识别技术研究进展

人群行为分析是计算机视觉领域最活跃的研究方向之一. 有许多针对人群异常行为及检测的算法如人群密度估计、人群中运动检测、人群跟踪和群体行为识别. 在对目前人群异常行为进行总结分析,并概括出人群异常的三大关键特征. 并在次基础上,分别针对人群特征提取、异常识别技术、异常分类技术以及人群异常识别数据库方面,对人群异常识别技术现状进行总结概括,并并对存在的问题,以及未来发展方向提出了研究的建议和意见. 文章对相关领域的研究具有一定的参考价值.     

一种使用视觉反馈与行为记忆的蚁群优化算法

在分析现有改进算法的基础上,结合视知觉及认知心理学的相关理论,提出一种具备视觉反馈与行为记忆学习能力的新型蚁群算法:首先,建立视觉模型使得蚂蚁能够通过人工视觉感知周围目标城市的分布,用视知觉修正信息素噪声,提高蚂蚁探索质量;其次,建立行为记忆学习模型,使蚂蚁能够从已经走过的局部最优路径中提取经验来指导周游活动,加快算法收敛速度并强化寻优能力.经过与传统改进策略比较发现,新算法在求解质量与求解时间上均有明显改进.     

Agent的意图模型

意图是Agent的一个不可缺少的意识属性,在决定理性Agent的行为时起着重要的作用.已经有了若干种基于正规模态逻辑的意图模型,但它们存在着严重的“逻辑全知”问题.该文阐明意图不是正规模态算子,并提出了另一种意图模型,它不存在“逻辑全知”问题和其他相关问题(例如,副作用问题等).这种意图模型与Konolige和Pollack的意图模型相比,比较简单、自然,且满足K公理和联合一致性原理,实际上,为非正规模态算子基于正规可能世界的语义表示提供了一种新的方法.     

Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity

As research expands in multiagent intelligent systems, investigators need new tools for evaluating the artificial societies they study. It is impossible, for example, to correlate heterogeneity with performance in multiagent robotics without a quantitative metric of diversity. Currently diversity is evaluated on a bipolar scale with systems classified as either heterogeneous or homogeneous, depending on whether any of the agents differ. Unfortunately, this labeling doesn't tell us much about the extent of diversity in heterogeneous teams. How can it be determined if one system is more or less diverse than another? Heterogeneity must be evaluated on a continuous scale to enable substantive comparisons between systems. To enable these types of comparisons, we introduce: (1) a continuous measure of robot behavioral difference, and (2) hierarchic social entropy, an application of Shannon's information entropy metric to robotic groups that provides a continuous, quantitative measure of robot team diversity. The metric captures important components of the meaning of diversity, including the number and size of behavioral groups in a society and the extent to which agents differ. The utility of the metrics is demonstrated in the experimental evaluation of multirobot soccer and multirobot foraging teams.     

Planning Intelligent Responses in a Natural Language System

Intelligent help systems cannot merely respond passively to the user'scommands and queries. They need to be able to volunteer information,correct user misconceptions, and reject unethical requests when appropriate.In order to do these things, a system must be designed as an intelligentagent. That is, a system needs to have its own goals and then plan forthese goals. A system which did not have its own goals would never refuseto help users perform unethical actions.Such an intelligent agent has been implemented in the UCEgo component of UC(Wilensky et al. 1984; Wilensky et al. 1988) (UNIX Consultant), a natural languagesystem that helps the user solve problems in using the UNIX operatingsystem. UCEgo provides UC with its own goals and plans. By adoptingdifferent goals in different situations, UCEgo creates and executesdifferent plans, enabling it to interact appropriately with the user.UCEgo adopts goals when it notices that the user either lacks necessaryknowledge, or has incorrect beliefs. In these cases, UCEgo plans tovolunteer information or correct the user's misconception as appropriate.These plans are pre-stored skeletal plans that are indexed under the types ofsituations in which they are typically useful. Plan suggestion situationsinclude the goal which the plan is used to achieve, the preconditions of theplan, and appropriateness conditions for the plan. Indexing plans bysituations improves efficiency and allows UC to respond appropriately to theuser in real time.Detecting situations in which a plan should be suggested or a goal adoptedis implemented using if-detected daemons. These daemons provide asingle mechanism which can be used both for detecting goals and suggestingplans. Different methodologies for the efficient implementation ofif-detected daemons are discussed.     

分布交互三维视景行为-特征建模方法研究

分布交互三维视景提出了两个新的问题;更有效的建模方法和如何解决视景质量与Ｉｎｔｅｒｎｅｔ传输速度的矛盾？针对以上两个问题,提出了一种更为有效的分布交互三维视景“行为－特征建模”方法及其相应的分布交互三维视景体系结构。     

贝叶斯网络在战术态势估计中的应用

战场态势估计是指挥决策的基础,如何进行合理的态势估计是当前战场指挥系统中最重要的组成部分;作为一种知识表示和进行概率推理的框架,贝叶斯网络在具有内在不确定性的推理和决策问题中得到了广泛的应用;因果推理是态势估计中的一个重要环节,用贝叶斯网络找出态势假设和事件之间的潜在关系,正是态势估计所需完成的功能;根据态势与事件之间不同的连接关系建立态势估计的贝叶斯网络模型,介绍贝叶斯网络推理算法和步骤,并给出实例仿真;结果表明,将贝叶斯网络用于态势估计,能够进行推理得到完整的战场态势信息,为决策提供依据。     

由无意识引发的思考

人们对于弗洛伊德的"无意识"理论中的意识和无意识已经研究了很多,但是关于前意识的研究却很少。本文从无意识入手并与唐纳德.A.诺曼的设计理论相结合,就前意识对设计的重要作用予以肯定并对提出唤醒前意识的方法。