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This paper aims to focus on the autonomous behavior selection issue of robotics from the perspective of episodic memory in cognitive neuroscience with biology-inspired attention system. It instructs a robot to follow a sequence of behaviors. This is similar to human travel to a target location by guidance.

The episodic memory-driving Markov decision process is proposed to simulate the organization of episodic memory by introducing neuron stimulation mechanism. Based on the learned episodic memory, the robotic global planning method is proposed for efficient behaviors sequence prediction using bottom-up attention. Local behavior planning based on risk function and feasible paths is used for behavior reasoning under imperfect memory. Aiming at the problem of whole target selection under redundant environmental information, a top-down attention servo control method is proposed to effectively detect the target containing multi-parts and distractors which share same features with the target.

Based on the proposed method, the robot is able to accumulate experience through memory, and achieve adaptive behavior planning, prediction and reasoning between tasks, environment and threats. Experimental results show that the method can balance the task objectives, select the suitable behavior according to current environment.

The behavior selection method is integrated with cognitive levels to generate optimal behavioral sequence. The challenges in robotic planning under uncertainty and the issue of target selection under redundant environment are addressed.

This study contends that consumer ethnocentrism and animosity rest on semantic and episodic memory, respectively. It further examines how the influence of consumer ethnocentrism and animosity on consumer boycott behaviour may vary over time and use the memory theory to explain these temporal differences.

Part 1 involved an experiment to demonstrate the relationship between consumer ethnocentrism/animosity and semantic/episodic memory. To determine the temporal characteristics of consumer ethnocentrism and animosity, Part 2 involved two quantitative surveys (one each in China and Japan), followed by another two surveys six months later.

Part 1 showed that consumer ethnocentrism and animosity were underpinned by semantic and episodic memory, respectively. Consistent with memory theory, Part 2 found that consumer ethnocentrism was temporally more stable than animosity. Consumer animosity influenced boycott behaviour during but not after the dispute, whereas consumer ethnocentrism influenced boycott behaviour during as well as the dispute. Finally, consumer ethnocentrism was antecedent to consumer animosity, siding with the relationship between semantic and episodic memory.

Limited to two countries, both with collectivistic culture. A longitudinal approach over multiple phases would further enhance the robustness of the findings.

Understanding the psychological underpinning of consumer ethnocentrism and animosity would allow firms to develop effective marketing strategies to appeal to consumers’ ethnocentric and animosity dispositions.

The first study to examine the psychological underpinnings of consumer ethnocentrism and animosity by drawing on the memory theory.

The purpose of this paper is to find the event memory characteristics hidden in trade data.

First, historical trade data are analyzed to define the events described by multi‐dimensional characteristic variables. The variables containing information are employed to build the event description patterns. Furthermore, a search engine is developed for calendar events, which can search for events in historical data and produce a collection of events. The search engine also extracts relevant system reaction phenomena described by trend distribution for each event pattern. Finally, both event patterns and system reactions construct the episodic memory model.

The event patterns and the system reactions are used to define the episodic memory model. The search methods for the episodic memory model obtained from trade data set are given.

Accessibility and availability of data are the main limitations affecting where the method can be applied.

The method is helpful for traders when judging the current trade situation from historical memory.

The paper presents a new episodic memory modeling method based on trade data.

Robots face fundamental challenges in achieving reliable and stable operations for complex home service scenarios. This is one of the crucial topics of robotics methods to imitate human beings’ advanced cognitive characteristics and apply them to solve complex tasks. The purpose of this study is to enable robots to have the ability to understand the scene and task process in complex scenes and to provide a reference method for robot task programming in complex scenes.

This paper constructs a task modeling method for robots in complex environments based on the characteristics of the perception-motor memory model of human cognition. In the aspect of episodic memory construction, the task execution process is included in the category of qualitative spatio-temporal calculus. The topology interaction of objects in a task scenario is used to define scene attributes. The task process can be regarded as changing scene attributes on a time scale. The qualitative spatio-temporal activity graphs are used to analyze the change process of the object state with time during the robot task execution. The tasks are divided according to the different values of scene attributes at different times during task execution. Based on this, in procedural memory, an object-centered motion model is developed by analyzing the changes in the relationship between objects in the scene episode by analyzing the scene changes before and after the robot performs the actions. Finally, the task execution process of the robot is constructed by alternately reconstructing episodic memory and procedural memory.

To verify the applicability of the proposed model, a scenario where the robot combines the object (one of the most common tasks in-home service) is set up. The proposed method can obtain the landscape of robot tasks in a complex environment.

The robot can achieve high-level task programming through the alternating interpretation of scenarios and actions. The proposed model differs from traditional methods based on geometric or physical feature information. However, it focuses on the spatial relationship of objects, which is more similar to the cognitive mechanism of human understanding of the environment.

This paper aims to summarise key models of the neuropsychology of memory function, illustrating how they can be used to inform the assessment and formulation of memory disorders in clinical practice.

Models of short term and working memory, long-term memory and prospective memory are described. Commonly used tools and methods to assess these functions in adults are summarised.

It is argued that a clearer understanding of models of memory function adds value to the process of cognitive assessment, guiding the selection of appropriate tests and aiding diagnosis, formulation and rehabilitation planning.

This paper is intended to serve as a resource for professionals who encounter memory disorders in their clinical practice.

This paper seeks to re‐establish memory's role within reference librarianship, and to argue that continued research on how memory affects the reference librarian can encourage growth within the profession.

Neuroscience and psychological explanations of memory are introduced and then utilized to show how reference librarians access and impress memory. Perspectives on reference librarianship in relation to memory, service, education, and knowledge management are also presented and scrutinized.

Memory is an integral part of librarianship, yet often overlooked. Memory is also a complex tool which comprising overlapping systems. Owing to the nature of these systems, it is sometimes difficult to decipher when one system is being utilized and another is not.

Memory is not tangible, though neuroscience has been able to map out some processes. Because of memory's elusive quality, the paper relies heavily on present biological and psychological theories. There is a need to assess memory practices further in the realm of librarianship and to determine more ways in which memory can contribute to the enhancement of library services.

The paper provides insight for the role of memory within reference librarianship, and suggests a structural basis to analyze librarian service through memory systems.

Utilizing both psychological views and biological constructs of memory, the author systematically incorporates these ideas into roles which are beneficial to the development of the reference librarian and enhancement of reference services.

Observing that people re‐access what they have seen or used in the past is very common in real lives. The purpose of this paper is to review the subject of information re‐finding comprehensively, and introduce to readers the underlying techniques and mechanisms used in information re‐finding.

After analyzing users' information re‐finding behaviors and their requirements, the paper studies the natural way of re‐finding in human memory, and reviews state‐of‐the‐art techniques and tools developed in the fields of web and personal information management for information re‐finding.

Four main re‐finding support techniques on the Web are: re‐finding tools in Web browsers; history service; re‐finding search engine; and voice‐based re‐finding. Three main re‐finding approaches are used in PIM: browse‐based approaches; content‐based search; and context‐based search.

Following the recalling mechanisms in human memory, the method of recall‐by‐context in both fields of web usage and personal information management can make users feel easy to re‐find information.

The paper gives a comprehensive overview of information re‐finding techniques.

This paper aims to propose that more useful novel schemes could develop from a more principled examination and application of promising authentication features. Text passwords persist despite several decades of evidence of their security and usability challenges. It seems extremely unlikely that a single scheme will globally replace text passwords, suggesting that a diverse ecosystem of multiple authentication schemes designed for specific environments is needed. Authentication scheme research has thus far proceeded in an unstructured manner.

This paper presents the User-Centred Authentication Feature Framework, a conceptual framework that classifies the various features that knowledge-based authentication schemes may support. This framework can used by researchers when designing, comparing and innovating authentication schemes, as well as administrators and users, who can use the framework to identify desirable features in schemes available for selection.

This paper illustrates how the framework can be used by demonstrating its applicability to several authentication schemes, and by briefly discussing the development and user testing of two framework-inspired schemes: Persuasive Text Passwords and Cued Gaze-Points.

This framework is intended to support the increasingly diverse ecosystem of authentication schemes by providing authentication researchers, professionals and users with the increased ability to design, develop and select authentication schemes better suited for particular applications, environments and contexts.

The purpose of this paper is to educate forensic interviewers about autism spectrum disorder (ASD) and tools for interviewing youth with ASD when there are concerns of child sexual abuse (CSA).

Research is reviewed to discuss risk factors for CSA in youth with ASD, why CSA is often not recognized and research-based strategies for forensically interviewing youth with ASD.

Youth with ASD are at increased risk of CSA compared to neurotypical peers, but recognition of CSA in youth with ASD can be difficult. Forensic interviewing strategies can help interviewers obtain reports of CSA from youth with ASD.

Given the increase in prevalence of ASD and the increased risk of CSA, forensic interviewers need to have information about ASD, about why CSA may not be recognized, about risk factors for CSA and, especially, about how to accommodate for ASD when conducting forensic interviews.

This paper provides a novel framework for considering evidence-based practices for forensically interviewing youth with ASD when there are concerns of CSA. Specifically, this paper includes multiple, but related areas, in one article including research related to ASD, risk factors for CSA in those with ASD, obstacles to identifying CSA and the implications of this research for specific strategies regarding how to forensically interview youth with ASD when there are concerns of CSA.

As an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship between data search and access and the cognitive mechanisms underlying this relationship, this paper examines the associations between affective memories, perceived value, search effort and the intention to access data during users' interactions with data retrieval systems.

This study conducted a user experiment for which 48 doctoral students from different disciplines were recruited. The authors collected search logs, screen recordings, questionnaires and eye movement data during the interactive data search. Multiple linear regression was used to test the hypotheses.

The results indicate that positive affective memories positively affect perceived value, while the effects of negative affective memories on perceived value are nonsignificant. Utility value positively affects search effort, while attainment value negatively affects search effort. Moreover, search effort partially positively affects the intention to access data, and it serves a full mediating role in the effects of utility value and attainment value on the intention to access data.

Through the comparison between the findings of this study and relevant findings in information search studies, this paper reveals the specificity of behaviour and cognitive processes during data search and access and the special characteristics of data discovery tasks. It sheds light on the inhibiting effect of attainment value and the motivating effect of utility value on data search and the intention to access data. Moreover, this paper provides new insights into the role of memory bias in the relationships between affective memories and data searchers' perceived value.