Does cognitive load moderate the seductive details effect? A multimedia study

Several studies have shown that adding seductive details to instructional materials has a detrimental effect on learning. However, other studies have shown non-significant findings. The present study uses cognitive load theory as a theoretical framework to explain these controversial results in seductive details research. Using a 2 × 2 experimental design we asked a group of high-school students (N = 100) to learn about biology with a multimedia environment that manipulated the presence of seductive details (with vs. without) and the modality of the verbal information (high load, on-screen text vs. low load, narration). The findings showed that students’ learning performance was significantly higher when seductive details were presented under the low load condition (narration) as compared to all other conditions. The theoretical implications for understanding the effects of non-redundant and interesting, but irrelevant learning material are discussed and future research directions are presented.     

Integrating cognitive load theory and concepts of human–computer interaction

With the continually increasing complexity of e-learning environments, there is a need for integrating concepts of cognitive load theory (CLT) with concepts of human–computer interaction (HCI). Basic concepts of both fields were reviewed and contrasted. A literature review was conducted within the literature database “The Guide to Computing Literature,” searching for “cognitive load theory” and “Sweller.” Sixty-five publications contained “cognitive load” in their titles or abstracts. Each publication was checked to see whether it contained the concepts of intrinsic, extraneous, or germane cognitive load. The review showed that CLT concepts have been adopted in HCI. However, the concept of germane cognitive load has attracted less attention up to the present time. Two conceptual models are proposed. The first model divides extraneous cognitive load into load induced by the instructional design and load caused by software usage. The model clarifies the focus of traditional usability principles and of existing instructional design principles derived from CLT. The second model fits CLT concepts into the basic components of user-centered design. The concept of germane cognitive load illustrates that an increase of cognitive load can be desirable when designing e-learning environments. Areas for future interdisciplinary research are sketched.     

Lost in space? Cognitive fit and cognitive load in 3D virtual environments

In this paper, we explore how visual representations of information in 3D virtual environments (3DVEs) supports both individual and shared understanding, and consequently contribute to group decision making in tasks with a strong visual component. We integrate insights from cognitive fit theory and cognitive load theory in order to formulate hypotheses about how 3DVEs can contribute to individual understanding, shared understanding, and group decision making. We discuss the results of an experiment in which 192 participants, in 3-person teams, were asked to select an apartment. As proposed by cognitive fit theory, our results indicate that 3DVEs are indeed more effective in supporting individual understanding than 2D information presentations. Next, in line with cognitive load theory, the static presentation of 3D information turns out to be more effective in supporting shared understanding and group decision making than an immersive 3DVE. Our results suggest that although the 3DVE capabilities of realism, immersion and interactivity contribute to individual understanding, these capabilities combined with the interaction and negotiation processes required for reaching a shared understanding (and group decision), increases cognitive load and makes group processes inefficient. The implications of this paper for research and practice are discussed.     

“Critic-proofing” of the cognitive aspects of simple games

This paper posits the use of computer games as cognitive development tools that can provide players with transferable skills suitable for learning in the 21st century. We describe a method for categorizing single-player computer games according to the main cognitive function(s) engaged in by the player during gaming. Categorization was done in collaboration with a neuropsychologist, academic researchers, and research assistants. Twelve research assistants, mostly domain novices, were trained to categorize games according to a cognitive matrix developed by the neuropsychologist. They also categorized the games, and evaluated and commented on the relevance of the neuropsychologist's categorization of the games. Through the process of “critic proofing,” computer games were reliably classified into primary and secondary cognitive categories, and the team was able to identify problems with both the categorization of certain games and the definitions of some of the cognitive functions in our cognitive matrix. Such an approach allowed for the identification of under-populated cognitive categories in the project's existing repository of games, and for further development of the cognitive representation framework, information useful for both researchers and designers in the gaming industry.     

Does situation awareness add to the validity of cognitive tests?

OBJECTIVE: Does adding situation awareness (SA) to a battery of cognitive tests improve prediction? BACKGROUND: Identifying variables that predict skilled performance in a complex task aids in understanding the nature of skill and also aids in the selection of operators to perform that task. SA is thought to be an important predictor of performance. SA is often thought to be based on underlying cognitive mechanisms. METHOD: Three performance measures taken from the Federal Aviation Administration's (FAA's) Air Traffic Scenarios Test, the low-fidelity simulation component of the FAA's controller selection battery, were used as criterion variables in a hierarchical regression. After predicting performance based on a battery of cognitive (e.g., intelligence, working memory, spatial memory) and noncognitive tests (e.g., cognitive style, personality, demographics), we added measures of SA. RESULTS: SA did provide increases in prediction, but only when measured with the Situation Present Assessment Method, an on-line query method. When the same questions were asked off line, SA did not enter the model in two cases and improved prediction by only 2% in the third. CONCLUSION: Thus, some measures of SA do show incremental validity, even against a backdrop of a large number of cognitive variables. APPLICATION: On-line measures of SA can be a worthwhile addition to standard batteries of tests used to predict performance in cognitively oriented industrial tasks.     

Generation and characterization of orthogonal FH sequences for the cognitive network

The existing orthogonal frequency hopping(FH) sequence cannot support the high throughput and high spectrum efficient cognitive FH(CFH) network due to its small family size, high computational complexity and short period. To overcome these disadvantages, this paper investigates the generation of the orthogonal FH sequence and analyzes its multiple accessibility performance based on the CFH frequency division multipleaccess(FDMA) network model. By the random mapping and cyclical shift replacement(CSR) scheme, a large family size of orthogonal FH sequence with dynamic frequency slot number is generated. In this case, the external interference could be eliminated by avoiding the interfered frequencies, and blocking mutual interference incurred for the packet by the orthogonal frequencies. Moreover, the theoretical relationships of the throughput and transmission delay with respect to the user number and the packet arrival rate are given, which shows that our proposed orthogonal FH sequence could support high throughput and short packet transmission delay in CFH-FDMA network. The simulation results validate our theoretical analysis of the CFH-FDMA network performance, and show that our proposed sequence outperforms the widely used no hit zone FH sequences in terms of uniformity, randomness, Hamming correlation, complexity and sensitivity, etc.     

A novel load metric with enhanced ability of distinguishing different load status

This paper has proposed a new metric for characterizing the load of a uniprocessor computer. This metric is defined as a ratio of the average waiting time experienced by computing tasks to the average idle time of the processor. This definition is based on two important observations. As the load becomes heavier, the average idle time of a processor becomes shorter, and the average waiting time experienced by computing tasks becomes longer. The new load metric aims to have an enhanced ability in distinguishing different load status. The valid comparison of different load status using the new load metric is subject to the satisfaction of certain conditions: a majorization has to be satisfied between two processes of the measures (idle time or waiting time). The ability of the new load metric on distinguishing different load status has been validated through numerical simulations. The results showed that the new load metric can facilitate balancing the load among multiple servers better than the conventional load metric of average utilization, when they are used as the task assignment criteria.     

Does load position affect gait and subjective responses of females during load carriage?

Recreational hikers carry heavy loads while often walking long distances over uneven terrain. Previous studies have suggested that not only the load mass but also the position of the load may influence load carriage. The purpose of this study was to determine the effect of vertical load position on gait and subjective responses of female recreational hikers. Fifteen experienced female hikers walked for 2 km over a simulated hiking trail carrying 30% BW in three vertical load positions (high, medium and low). Lower limb and trunk kinematic, electromyography (EMG) and ground reaction force (GRF) data were collected together with heart rate (HR), ratings of perceived exertion (RPE) and discomfort measures. Although HR, RPE and discomfort measures were not able to discern statistical differences between load positions, the high load position was the most preferred by participants. The high load position also resulted in a more upright posture (p < 0.001), decreased gastrocnemius integrated EMG compared to the medium (p = 0.005) and low load positions (p = 0.02) and a higher first peak deceleration vertical GRF compared to the low load position (p = 0.011). However, the absolute differences were small and unlikely to be functionally relevant in load carriage studies. Based on the findings of this study, a high, medium or low load position cannot be preferentially recommended for healthy, experienced, female hikers carrying 30% BW.     

I spy with my AI: The effects of AI-based visual cueing on human operators’ performance and cognitive load in CCTV control rooms

The increased number of security cameras in modern cities has elevated the video-feed monitoring demands of closed-circuit television (CCTV) operators. As a result, new AI-driven support systems that leverage the power of computer vision algorithms have been deployed to facilitate the operators' work. However, to effectively design intuitive, AI-driven interfaces and validate their impact on the operators' performance, extensive user testing is required. To address this, we previously developed and tested a virtual reality (VR) control room that can be used to iteratively evaluate intelligent computer assistants and interfaces while operators are subjected to different cognitive load. In the present study, we use this VR environment and physiological markers (e.g., eye tracking measures) to investigate how AI-based visual cueing (i.e., pushing forward video streams on which detections are highlighted by rectangles drawn around targets) affects operator performance and cognitive load. Results suggest that support systems using such technology in a control room improve operators’ performance and decrease their cognitive load, as reflected by changes in pupil dilation and subjective reports irrespective of induced cognitive load.     

Is single or dual channel with different English proficiencies better for English listening comprehension,cognitive load and attitude in ubiquitous learning environment?

The purpose of the present study was to examine the effects of English proficiency (low vs. high) and material presentation mode (single channel vs. dual channel) on English listening comprehension, cognitive load and learning attitude in a ubiquitous learning environment. An experimental learning activity was implemented using PDA as a learning tool to facilitate learning. A quasi-experimental design was employed with university students participating in the experiment. The results revealed that (a) high English proficiency learners had significantly better English listening comprehension and lower intrinsic and extraneous load than low English proficiency learners; (b) both high and low English proficiency learners learning with dual channel had significantly better English listening comprehension and held more positive attitude toward the ubiquitous learning environment than learners learning with single channel; (c) for learners learning with single channel, low English proficiency learners had significantly higher extraneous load than high English proficiency learners; and (d) for low English proficiency learners, learners who learned with dual channel possessed significantly lower extraneous load than learners who learned with single channel. The suggestions for educators and instructional designers were also discussed in the present study.     

Presence in personalised e-learning – the impact of cognitive and emotional factors and the moderating role of gender

ABSTRACT

Digital technologies offer tremendous opportunities to develop flexible and personalised e-learning environments which are capable of delivering high-quality services. The success of these e-learning environments is linked to their ability to elicit subjective experiences of presence, through which e-learners feel individually ‘placed’ within a true, humanised education environment. We built an integrated model that situates cognitive processes (the e-learner’s perceived control, focused attention, mental imagery) and emotion at the core of presence formation, and considers the moderating role of gender. We tested the model with a large sample of students at a personalised e-learning environment. The results indicate that cognitive and emotional processes, all unleashed by external stimuli coming from the personalised e-learning environment, activate presence and that gender has a crucial moderating role for emotion-presence predictions.     

乱序执行机器上的load指令调度

随着处理器和存储器速度差距的不断拉大，访存指令尤其是频繁cache miss的指令成为影响性能的重要瓶颈。编译器由于无法得知访存指令动态执行的拍数，一般假定这些指令的延迟为cache命中或者cache miss的延迟，所以并不准确。我们引入cache profiling技术来收集访存指令运行时的cache miss或者命中的信息，利用这些信息来计算访存的延迟。乱序机器上硬件的指令调度对于发射窗口内的指令能进行很好的动态调度，编译器则对更长的范围内的指令调度更有优势。在reorder buffer中cache miss一旦发生，容易引起reorder buffer满，导致流水线阻塞。调度容易cache miss的指令。使其并行执行，从而隐藏cache miss的长延迟，就可以提高程序性能。因此，我们针对load指令，一方面修改频繁miss的指令的延迟，一方面修改调度策略，提高存储级并行度。实验证明，我们的调度对于bzip2有高达4．8％的提升，art有4％的提升，整体平均提高1．5％。     

What is the difference? A cognitive dissimilarity measure for information retrieval result sets

Result rankings from context-aware information retrieval are inherently dynamic, as the same query can lead to significantly different outcomes in different contexts. For example, the search term Digital Camera will lead to different—albeit potentially overlapping—results in the contexts customer reviews and shops, respectively. The comparison of such result rankings can provide useful insights into the effects of context changes on the information retrieval results. In particular, the impact of single aspects of the context in complex applications can be analyzed to identify the most (and least) influential context parameters. While a multitude of methods exists for assessing the relevance of a result ranking with respect to a given query, the question how different two result rankings are from a user’s point of view has not been tackled so far. This paper introduces DIR, a cognitively plausible dissimilarity measure for information retrieval result sets that is based solely on the results and thus applicable independently of the retrieval method. Unlike statistical correlation measures, this dissimilarity measure reflects how human users quantify the changes in information retrieval result rankings. The DIR measure supports cognitive engineering tasks for information retrieval, such as work flow and interface design: using the measure, developers can identify which aspects of context heavily influence the outcome of the retrieval task and should therefore be in the focus of the user’s interaction with the system. The cognitive plausibility of DIR has been evaluated in two human participants tests, which demonstrate a strong correlation with user judgments.     

多核DSP Boot load代码加载方法研究

通过分析目前第三代移动通信WCDMA协议不断更新升级的现状,提出了一种基于IP的软升级多内核DSP代码的方法,以在硬件平台相同的情况下快速、方便的实现WCDMA协议版本软升级.并以德州仪器公司三内核DSP TCt6488为例,实现了EMAC(以太网口)及SRIO(串行快速输入输出口)混合加栽方式.该方法为自动、远程可控的网络式代码加栽方法.     

COSA – A generic cognitive system architecture based on a cognitive model of human behavior

This article presents an overview of COSA, a cognitive system architecture, which is a generic framework proposing a unified architecture for cognitive systems. Conventional automation and similar systems lack the ability of cooperation and cognition, leading to serious deficiencies when acting in complex environments, especially in the context of human-computer interaction. Cognitive systems based on cognitive automation can overcome these deficiencies. Designing such artificial cognitive systems can be considered a very complex software development process. Although a number of developments of artificial cognitive systems have already demonstrated great functional potentials in field tests, the engineering approach of this kind of software is still a candidate for further improvement. Therefore, wide-spread application of cognitive systems has not been achieved yet. This article presents a new engineering approach for cognitive systems, implemented by the COSA framework, which may be a crucial step forward to achieve a wide-spread application of cognitive systems. The approach is based on a new concept of generating cognitive behaviour, the cognitive process (CP). The CP can be regarded as a model of the human information processing loop whose behaviour is solely driven by "a-priori knowledge". The main features of COSA are the implementation of the CP as its kernel and the separation of architecture from application leading to reduced development time and increased knowledge reuse. Additionally, separating the knowledge modelling process from behaviour generation enables the knowledge designer to use the knowledge representation that is best suited to his modelling problem. A first application based on COSA implements an autonomous unmanned air vehicle accomplishing a military reconnaissance mission. Some of the application experiences with the new approach are presented.     

Modeling the behavior of persons with mild cognitive impairment or Alzheimer’s for intelligent environment simulation

User Modeling and User-Adapted Interaction - Intelligent environments may improve the independence and quality of life of persons with mild cognitive impairment (MCI) or Alzheimer’s disease...     

Measures of internal lumbar load in professional drivers – the use of a whole-body finite-element model for the evaluation of adverse health effects of multi-axis vibration

The present study aimed to (1) employ the method for evaluation of vibration containing multiple shocks according to ISO/CD 2631–5:2014 (Model 1) and DIN SPEC 45697:2012 in a cohort of 537 professional drivers, (2) deliver the results for a re-analysis of epidemiological data obtained in the VIBRISKS study, (3) clarify the extent to which vibration acceleration and individual variables influence risk values, such as the daily compressive dose S_ed and the risk factor R, and (4) compare the results with in vivo measurements and those obtained in previous studies with similar models. The risk factor R was influenced by the acceleration, lifetime exposure duration, sitting posture, age at the start of exposure and body mass/body mass index in order of decreasing effect. Age and annual and daily exposure duration had only a marginal effect. The daily compressive dose S_ed and the risk factor R showed weak linear association with the daily vibration exposure A(8) and the vibration dose value VDV. The study revealed high shear forces in the lumbar spine.     

Think,feel, bid: the impact of environmental conditions on the role of bidders’ cognitive and affective processes in auction bidding

Environmental conditions and the interplay of cognitive and affective processes both exert influences on bidding behavior. This paper brings the above together, considering how the (external) auction environment determines the impact of (internal) cognitive and affective processes on bidding behavior, assessed in comparison to the optimal bid. Two aspects of the auction environment were considered, namely auction dynamics (low: first-price sealed-bid auction, high: Dutch auction) and value uncertainty (low, high). In a laboratory experiment, we assess bidders’ cognitive workload and emotional arousal through physiological measurements. We find that higher auction dynamics increase the impact of emotional arousal on bid deviations, but not that of cognitive workload. Higher value uncertainty, conversely, increases the impact of cognitive workload on bid deviations, but not that of emotional arousal. Taken together, the auction environment is a critical factor in understanding the nature of the underlying decision process and its impact on bids.     

What motivates health information exchange in social media? The roles of the social cognitive theory and perceived interactivity

Social media has become an attractive platform for users to exchange health information with others. However, little research has been done to identify the determinants of health information exchange. By integrating aspects of the social cognitive theory and perceived interactivity, this study proposes a research model to investigate the antecedents of health information exchange in social media. Data collected from Facebook users with health information exchange experience were used to examine the proposed model. The results demonstrate that human-to-human interaction, human-to-information interaction, outcome expectation of health self-management competence, and outcome expectation of social relationships have a significant impact on health information exchange behavior. The results also reveal that human-to-human interaction exerts a significant influence on the outcome expectation of health self-management competence and the outcome expectation of social relationships, while human-to-information interaction has a positive effect on the outcome expectation of health self-management competence. The implications for the theory and practice and future research directions are discussed.