Forgetful Digital Memory

Niederée, Claudia; Kanhabua, Nattiya; Gallo, Francesco; Logie, Robert H.

doi:10.1145/2814710.2814718

Cited by 23 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, people call this process "mining." The process of "mining" is also irreversible, but its verification process is simple and provides another technical guarantee for data security [15]. In the previous piece of information, in the blockchain, each block not only contains all the transaction information in the current time period but also cleverly compresses the previous transaction information and saves it in each block to ensure that each transaction can be traced back quickly to the source.…”

Section: Specific Methods Are Suggestedmentioning

confidence: 99%

Application and Development Prospect of Blockchain in Modern City Governance Information Management System

Zhao

2022

Mobile Information Systems

View full text Add to dashboard Cite

The supply chain is an organization alliance formed by the aggregation of many enterprises and based on the information flow to realize the coordinated operation of all links between enterprises. Therefore, enhancing the information synergy between enterprises is a weapon to enhance the overall competitiveness of the supply chain. The introduction of information management technology is the technical support and fundamental guarantee to realize the supply chain information synergy capability. The introduction of blockchain solves the two main problems of traceability and irreversibility of transactions in the supply chain, which can effectively improve the transparency of the supply chain. Transparency, as an important point for all stakeholders in the supply chain, can ensure that product information can be viewed and obtained in a timely manner. The purpose of this article is to analyze the role of blockchain in the modern city governance information management system by observing and analyzing the methods of modern city governance information management system and to understand the application and development prospect of blockchain in the modern city governance information management system. The comparison of the blockchain before and after the implementation of the modern city governance information management system and the research on the application and development of the blockchain in the modern city governance information management system were analyzed. Using the method of this article, through the analysis of experimental data, I learned the role of blockchain in the modern city governance information management system and found that the blockchain plays an important role in the application and development of the modern city governance information management system, with a satisfaction of 60%. Through the combination of theoretical and experimental data, the application and development effect of the blockchain in the modern city governance information management system is analyzed to reach 55%. The research results show that the blockchain is in the application and development of the modern city governance information management system. It plays an important role. The strength of information flow transmission, processing, and analysis capabilities directly affects the smooth flow of transactions and interactions in all links of the supply chain.

show abstract

Section: Specific Methods Are Suggestedmentioning

confidence: 99%

Application and Development Prospect of Blockchain in Modern City Governance Information Management System

Zhao

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…3: Using dynamic facets (yellow) to search things in PIMO (blue) project consisting of a large international team. In its course, the Memory Buoyancy (MB) representing an information item's short-term value for the user as well as the Preservation Value (PV) as its long-term perspective counterpart were conceived [16,17]. A second aspect of the project was contextualized remembering: here, the idea is to store contextual metadata in addition to the actual material to ensure future comprehension of the text, e.g.…”

Section: Semantic Desktop and Managed Forgettingmentioning

confidence: 99%

“…Memory Buoyancy. Memory Buoyancy (MB) [16,17] is intended to represent an information item's current (short-term) value for the user. It follows the metaphor that items starting to lose relevance "sink away" from the user's sight, but are brought back up (by their higher buoyancy) as soon as they regain relevance.…”

Section: Memory Buoyancymentioning

confidence: 99%

Advanced Memory Buoyancy for Forgetful Information Systems

Jilek

Chwalek

Schwarz

et al. 2019

AIS-TES

View full text Add to dashboard Cite

Knowledge workers face an ever increasing flood of informa- tion in their daily lives. To counter this and provide better support for information management and knowledge work in general, we have been investigating solutions inspired by human forgetting since 2013. These solutions are based on Semantic Desktop (SD) and Managed Forgetting(MF) technology. A key concept of the latter is the so-called Memory Buoyancy (MB), which is intended to represent an information item’s current value for the user and allows to employ forgetting mechanisms. The SD thus continuously performs information value assessment up- dating MB and triggering respective MF measures. We extended an SD- based organizational memory system, which we have been using in daily work for over seven years now, with MF mechanisms directly embedding them in daily activities, too, and enabling us to test and optimize them in real-world scenarios. In this paper, we first present our initial version of MB and discuss success and failure stories we have been experiencing with it during three years of practical usage. We learned from cognitive psychology that our previous research on context can be beneficial for MF. Thus, we created an advanced MB version especially taking user context, and in particular context switches, into account. These enhancements as well as a first prototypical implementation are presented, too.

show abstract

“…In particular, Tran et al (2016) model a short-term forgetting process by applying a negative exponential decay to the importance of accessed resources, which nevertheless can become important again when semantically related resources are accessed. This work was conducted as part of a bigger project aiming at establishing a short-and long-term information management inspired by the selective forgetting mechanisms in the human memory (Niederée et al, 2015). Finally, instead of dealing with on-demand recall and searches, Rhodes & Starner (1996) presented an autonomous agent to augment human memory by continuously searching for potentially useful information based on the current user activity.…”

Section: Inhibition In Computer Science: Learning From Cognitionmentioning

confidence: 99%

Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science

Tempel

Niederée

Jilek

et al. 2019

Interacting With Computers

View full text Add to dashboard Cite

Inhibition is one of the core concepts in Cognitive Psychology. The idea of inhibitory mechanisms actively weakening representations in the human mind has inspired a great number of studies in various research domains. In contrast, Computer Science only recently has begun to consider inhibition as a second basic processing quality beside activation. Here, we review psychological research on inhibition in memory and link the gained insights with the current efforts in Computer Science of incorporating inhibitory principles for optimizing information retrieval in Personal Information Management. Four common aspects guide this review in both domains: 1. The purpose of inhibition to increase processing efficiency. 2. Its relation to activation. 3. Its links to contexts. 4. Its temporariness. In summary, the concept of inhibition has been used by Computer Science for enhancing software in various ways already. Yet, we also identify areas for promising future developments of inhibitory mechanisms, particularly context inhibition.the interference due to distracting stimuli or actions is analyzed in experimental paradigms that try to tap a specific form of cognitive inhibition. For example, in the Negative Priming task (for a review, Frings, Schneider, & Fox, 2015) it is typically analyzed how an irrelevant distractor stimulus is inhibited. In the cuing task that elicits the inhibition of return effect (Posner, Choate, Rafal, & Vaughn, 1985) it is typically analyzed how an irrelevant location is inhibited. In task switching (Kiesel et al., 2010) lowering competition by a just previously performed task while currently executing a novel task is achieved by inhibiting that previous task. Finally, in the go-no-INHIBITION IN COGNITIVE AND COMPUTER SCIENCE 3 go-task prepotent motor responses have to be inhibited (e.g., Logan & Cowan, 1984).While the results from inhibition research in attention and action control has clear implications for applied research (e.g., implications for traffic behavior), the purpose of this article is to link the concept of inhibition in Cognitive Psychology to the concept of inhibition in Computer Science. By definition this type of inhibition is thus concerned with inhibiting representations of informationin other words this article focuses on inhibition in memory. Our approach also focuses on output variables as to understand inhibition, that is, we look at human and artificial representational systems and how input variables or internal processes can be modulated by making information already represented in the system less accessible thereby enhancing output performance. For this conjoint approach we thus look at inhibition from a behavioral perspective.Yet, we should right from the start acknowledge that the concept of inhibitionpartially because it is used in so many different areas of researchwas often subject to a heated debate (see e.g., volumes by Dagenbach & Carr, 1994;Brainerd & Dempster, 1995;Gorfein & MacLeod, 2007). Researchers argue for decades whether cognition can be explained and ...

show abstract

Forgetful Digital Memory

Cited by 23 publications

References 15 publications

Application and Development Prospect of Blockchain in Modern City Governance Information Management System

Application and Development Prospect of Blockchain in Modern City Governance Information Management System

Advanced Memory Buoyancy for Forgetful Information Systems

Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science

Contact Info

Product

Resources

About