Relevant bibliographies by topics / Cognitive offloading

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Cognitive offloading'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Cognitive offloading"

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Risko, Evan F., and Sam J. Gilbert. "Cognitive Offloading." Trends in Cognitive Sciences 20, no. 9 (September 2016): 676–88. http://dx.doi.org/10.1016/j.tics.2016.07.002.

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Weis, Patrick P., and Eva Wiese. "Using Tools to Help Us Think: Actual but Also Believed Reliability Modulates Cognitive Offloading." Human Factors: The Journal of the Human Factors and Ergonomics Society 61, no. 2 (August 31, 2018): 243–54. http://dx.doi.org/10.1177/0018720818797553.

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Objective: A distributed cognitive system is a system in which cognitive processes are distributed between brain-based internal and environment-based external resources. In the current experiment, we examined the influence of metacognitive processes on external resource use (i.e., cognitive offloading) in such systems. Background: High-tech working environments oftentimes represent distributed cognitive systems. Because cognitive offloading can both support and harm performance, depending on the specific circumstances, it is essential to understand when and why people offload their cognition. Method: We used an extension of the mental rotation paradigm. It allowed participants to rotate stimuli either internally as in the original paradigm or with a rotation knob that afforded rotating stimuli externally on a computer screen. Two parameters were manipulated: the knob’s actual reliability (AR) and an instruction altering participants’ beliefs about the knob’s reliability (believed reliability; BR). We measured cognitive offloading proportion and perceived knob utility. Results: Participants were able to quickly and dynamically adjust their cognitive offloading proportion and subjective utility assessments in response to AR, suggesting a high level of offloading proficiency. However, when BR instructions were presented that falsely described the knob’s reliability to be lower than it actually was, participants reduced cognitive offloading substantially. Conclusion: The extent to which people offload their cognition is not based solely on utility maximization; it is additionally affected by possibly erroneous preexisting beliefs. Application: To support users in efficiently operating in a distributed cognitive system, an external resource’s utility should be made transparent, and preexisting beliefs should be adjusted prior to interaction.
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Grinschgl, Sandra, Frank Papenmeier, and Hauke S. Meyerhoff. "Consequences of cognitive offloading: Boosting performance but diminishing memory." Quarterly Journal of Experimental Psychology 74, no. 9 (April 4, 2021): 1477–96. http://dx.doi.org/10.1177/17470218211008060.

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Modern technical tools such as tablets allow for the temporal externalisation of working memory processes (i.e., cognitive offloading). Although such externalisations support immediate performance on different tasks, little is known about potential long-term consequences of offloading behaviour. In the current set of experiments, we studied the relationship between cognitive offloading and subsequent memory for the offloaded information as well as the interplay of this relationship with the goal to acquire new memory representations. Our participants solved the Pattern Copy Task, in which we manipulated the costs of cognitive offloading and the awareness of a subsequent memory test. In Experiment 1 ( N = 172), we showed that increasing the costs for offloading induces reduced offloading behaviour. This reduction in offloading came along with lower immediate task performance but more accurate memory in an unexpected test. In Experiment 2 ( N = 172), we confirmed these findings and observed that offloading behaviour remained detrimental for subsequent memory performance when participants were aware of the upcoming memory test. Interestingly, Experiment 3 ( N = 172) showed that cognitive offloading is not detrimental for long-term memory formation under all circumstances. Those participants who were forced to offload maximally but were aware of the memory test could almost completely counteract the negative impact of offloading on memory. Our experiments highlight the importance of the explicit goal to acquire new memory representations when relying on technical tools as offloading did have detrimental effects on memory without such a goal.
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Armitage, Kristy L., Adam Bulley, and Jonathan Redshaw. "Developmental origins of cognitive offloading." Proceedings of the Royal Society B: Biological Sciences 287, no. 1928 (June 10, 2020): 20192927. http://dx.doi.org/10.1098/rspb.2019.2927.

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Many animals manipulate their environments in ways that appear to augment cognitive processing. Adult humans show remarkable flexibility in this domain, typically relying on internal cognitive processing when adequate but turning to external support in situations of high internal demand. We use calendars, calculators, navigational aids and other external means to compensate for our natural cognitive shortcomings and achieve otherwise unattainable feats of intelligence. As yet, however, the developmental origins of this fundamental capacity for cognitive offloading remain largely unknown. In two studies, children aged 4–11 years ( n = 258) were given an opportunity to manually rotate a turntable to eliminate the internal demands of mental rotation––to solve the problem in the world rather than in their heads. In study 1, even the youngest children showed a linear relationship between mental rotation demand and likelihood of using the external strategy, paralleling the classic relationship between angle of mental rotation and reaction time. In study 2, children were introduced to a version of the task where manually rotating inverted stimuli was sometimes beneficial to performance and other times redundant. With increasing age, children were significantly more likely to manually rotate the turntable only when it would benefit them. These results show how humans gradually calibrate their cognitive offloading strategies throughout childhood and thereby uncover the developmental origins of this central facet of intelligence.
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Carter, J. Adam. "Autonomy, Cognitive Offloading, and Education." Educational Theory 68, no. 6 (December 2018): 657–73. http://dx.doi.org/10.1111/edth.12338.

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Xu, Shilin, and Caili Guo. "Computation Offloading in a Cognitive Vehicular Networks with Vehicular Cloud Computing and Remote Cloud Computing." Sensors 20, no. 23 (November 29, 2020): 6820. http://dx.doi.org/10.3390/s20236820.

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To satisfy the explosive growth of computation-intensive vehicular applications, we investigated the computation offloading problem in a cognitive vehicular networks (CVN). Specifically, in our scheme, the vehicular cloud computing (VCC)- and remote cloud computing (RCC)-enabled computation offloading were jointly considered. So far, extensive research has been conducted on RCC-based computation offloading, while the studies on VCC-based computation offloading are relatively rare. In fact, due to the dynamic and uncertainty of on-board resource, the VCC-based computation offloading is more challenging then the RCC one, especially under the vehicular scenario with expensive inter-vehicle communication or poor communication environment. To solve this problem, we propose to leverage the VCC’s computation resource for computation offloading with a perception-exploitation way, which mainly comprise resource discovery and computation offloading two stages. In resource discovery stage, upon the action-observation history, a Long Short-Term Memory (LSTM) model is proposed to predict the on-board resource utilizing status at next time slot. Thereafter, based on the obtained computation resource distribution, a decentralized multi-agent Deep Reinforcement Learning (DRL) algorithm is proposed to solve the collaborative computation offloading with VCC and RCC. Last but not least, the proposed algorithms’ effectiveness is verified with a host of numerical simulation results from different perspectives.
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Dunn, Timothy L., and Evan F. Risko. "Toward a Metacognitive Account of Cognitive Offloading." Cognitive Science 40, no. 5 (August 26, 2015): 1080–127. http://dx.doi.org/10.1111/cogs.12273.

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Hu, Xiao, Liang Luo, and Stephen M. Fleming. "A role for metamemory in cognitive offloading." Cognition 193 (December 2019): 104012. http://dx.doi.org/10.1016/j.cognition.2019.104012.

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Carvalho, Jônata Tyska, and Stefano Nolfi. "Cognitive Offloading Does Not Prevent but Rather Promotes Cognitive Development." PLOS ONE 11, no. 8 (August 9, 2016): e0160679. http://dx.doi.org/10.1371/journal.pone.0160679.

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Gilbert, Sam J., Arabella Bird, Jason M. Carpenter, Stephen M. Fleming, Chhavi Sachdeva, and Pei-Chun Tsai. "Optimal use of reminders: Metacognition, effort, and cognitive offloading." Journal of Experimental Psychology: General 149, no. 3 (March 2020): 501–17. http://dx.doi.org/10.1037/xge0000652.

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Dissertations / Theses on the topic "Cognitive offloading"

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Todorov, Ivo. "Individual Differences in Multitasking : Support for Spatiotemporal Offloading." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-138728.

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In both the private and work spheres, multitasking among three or more activities has become and is continuing to evolve as a pervasive element of everyday life, and recent technological advances only seem to be exacerbating the process. Despite attempts to understand the mental processes that let humans successfully multitask, little is known about the functional cognitive level at which these mental processes take place. This thesis makes a case for the involvement of spatial ability (among other cognitive abilities) in successful multitasking behavior. It focuses on the importance of the cognitive off-loading of executive control demands onto spatial ability, due to the inherent complexity of relationships between task goals and deadlines in multitasking scenarios. Importantly, it presents a working hypothesis—the spatiotemporal hypothesis of multitasking—as a tool for making specific predictions about multitasking performance, based on individual and sex differences in spatial ability. In Study 1, individual differences in spatial ability and executive functions emerged as independent predictors of multitasking performance. When spatial ability was decomposed into its subcomponents, only the coordinate (metric), but not categorical (nonmetric), processing of spatial relations was related to multitasking performance. Males outperformed females in both spatial ability and multitasking, and the effects were moderated by menstrual changes, in that sex differences in coordinate spatial processing and multitasking were observed between males and females in the luteal phase of the menstrual cycle, but not between males and females at menses. In Study II, multitasking performance reflected age- and sex-related differences in executive functioning and spatial ability, suggesting that executive functions contribute to multitasking performance across the adult life span, and that reliance on spatial skills for coordinating deadlines is reduced with advancing age. The results of Study III, in which the spatiotemporal hypothesis was directly scrutinized, suggest that the spatial disruption of multiple deadlines interferes with multitasking performance. Overall, these findings suggest that multitasking performance, under certain conditions, reflects independent contributions of spatial ability and executive functioning. Moreover, the results support the distinction between categorical and coordinate spatial processing, suggesting that these two basic relational processes are selectively affected by female sex hormones and are differentially effective, even across the age span, in transforming and handling temporal patterns as spatial relations in the context of multitasking. Finally, fluctuations of sex hormones exhibit a modulating effect on sex differences in spatial ability and multitasking performance.

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 3: Manuscript.

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Mikšovská, Markéta. "Cognitive offloading: O vlivu nových médií na kognitivní schopnosti člověka." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-410742.

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(in English) The subject of this master thesis is a cognitive offloading, sometimes also called cognitive outsourcing, meaning the impact of new media on human cognitive abilities. This work describes the evolution of the theoretical concept of cognitive offloading, types of cognitive offloading and it's functioning in today's society. Following Daniel Wegner's work, it describes basic concepts such as group mind and transactive memory and it focuses on a specific area of cognitive offloading - the impact of mobile photography on human memory. The thesis summarizes results of existing studies in this field and presents the results of a replicated pilot study conducted with the students of Czech high school. The aim of this study was to find out if - and to what extent - does smartphones impact one's memory and cognitive abilities in daily life. The conclusion analyzes the limits of this work and outlines further research possibilities in this field.
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"The Reading of Rotated Text - An Embodied Account." Master's thesis, 2013. http://hdl.handle.net/2286/R.I.17807.

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abstract: Individuals engaged in perceptual tasks often use their bodies to lighten the cognitive load, that is, they replace internal (mental) processing with external (body-based) processing. The present investigation explores how the body is used in the task of reading rotated text. The experimental design allowed the participants to exhibit spontaneous behavior and choose what strategies to use in order to efficiently complete the task. The results demonstrate that the use of external strategies can benefit performance by offloading internal processing.
Dissertation/Thesis
M.S. Psychology 2013
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Book chapters on the topic "Cognitive offloading"

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Dror, Itiel E., and Stevan Harnad. "Offloading cognition onto cognitive technology." In Cognition Distributed, 1–23. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.02dro.

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Dawson, Phillip. "Cognitive Offloading and Assessment." In The Enabling Power of Assessment, 37–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41956-1_4.

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Mahmoodi, Seyed Eman, Koduvayur Subbalakshmi, and R. N. Uma. "Cognitive Cloud Offloading Using Multiple Radios." In Spectrum-Aware Mobile Computing, 23–33. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02411-6_4.

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Hamilton, Kristy A., and Mike Z. Yao. "Cognitive Offloading and the Extended Digital Self." In Human-Computer Interaction. Theories, Methods, and Human Issues, 257–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91238-7_22.

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Mahmoodi, Seyed Eman, Koduvayur Subbalakshmi, and R. N. Uma. "Optimal Cognitive Scheduling and Cloud Offloading Using Multi-Radios." In Spectrum-Aware Mobile Computing, 35–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02411-6_5.

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Mahmoodi, Seyed Eman, Koduvayur Subbalakshmi, and R. N. Uma. "Time-Adaptive and Cognitive Cloud Offloading Using Multiple Radios." In Spectrum-Aware Mobile Computing, 49–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02411-6_6.

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Kang, Xin, and Sumei Sun. "Mobile Data Offloading Through Third-Party Wi-Fis: Association Rules and Incentive Mechanisms." In Handbook of Cognitive Radio, 1–37. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1389-8_18-1.

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Kang, Xin, and Sumei Sun. "Mobile Data Offloading Through Third-Party Wi-Fis: Association Rules and Incentive Mechanisms." In Handbook of Cognitive Radio, 597–633. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-1394-2_18.

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Li, Qun, Zheng Yin, and Ding Xu. "Resource Allocation for Mobile Data Offloading Through Third-Party Cognitive Small Cells." In Communications and Networking, 438–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06161-6_43.

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Krueger, Joel. "Music as affective scaffolding." In Music and Consciousness 2, 55–70. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198804352.003.0004.

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For 4E cognitive science, minds are embodied, embedded, enacted, and extended. Proponents observe that we regularly ‘offload’ our thinking onto body and world: we use gestures and calculators to augment mathematical reasoning, and smartphones and search engines as memory aids. This chapter argues that music is a ‘beyond-the-head’ resource that affords offloading. Via this offloading, music scaffolds access to new forms of thought, experience, and behaviour. The chapter focuses on music’s capacity to scaffold emotional consciousness, including the self-regulative processes constitutive of emotional consciousness. In developing this idea, the chapter considers the ‘material’ and ‘worldmaking’ character of music, applying these considerations to two case studies: music as a tool for religious worship, and music as a weapon for torture.
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Conference papers on the topic "Cognitive offloading"

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Costalonga, Leandro, and Marcelo Pimenta. "Cognitive Offloading: Can ubimus technologies affect our musicality?" In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbcm.2019.10427.

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An interaction design that lean towards musical traits based on and constrained by our cognitive and biological system could, not only provide a better user experience, but also minimize collateral effects of excessive use of such technology to make music. This paper presents and discuss innate abilities involved in musical activities that - in the authors´ viewpoint - could be considered in design guidelines to computer music technologies, especially those related to ubimus.
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Wieruch, Dennis, Thomas Wirth, Oliver Braz, Alfons Dußmann, Markus Mederle, and Marc Müller. "Cognitive Repeaters for Flexible Mobile Data Traffic Offloading." In 8th International Conference on Cognitive Radio Oriented Wireless Networks. ICST, 2013. http://dx.doi.org/10.4108/icst.crowncom.2013.252075.

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Wieruch, Dennis, Thomas Wirth, Oliver Braz, Alfons Dubmann, Markus Mederle, and Marc Mullert. "Cognitive repeaters for flexible mobile data traffic offloading." In 2013 International Conference on Cognitive Radio Oriented Wireless Networks (Crowncom). IEEE, 2013. http://dx.doi.org/10.1109/crowncom.2013.6636820.

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Dantong Liu, Yue Chen, Kok Keong Chai, L. Cuthbert, and Tiankui Zhang. "Cognitive cooperative traffic offloading scheme over heterogeneous networks." In 2012 7th International ICST Conference on Communications and Networking in China (CHINACOM 2012). IEEE, 2012. http://dx.doi.org/10.1109/chinacom.2012.6417581.

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Chen, Xianfu, Tao Chen, Celimuge Wu, and Mika Lasanen. "Greenly offloading traffic in stochastic heterogeneous cellular networks." In 2014 1st International Workshop on Cognitive Cellular Systems (CCS). IEEE, 2014. http://dx.doi.org/10.1109/ccs.2014.6933789.

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Berg, Kimmo, and Michail Katsigiannis. "Optimal cost-based strategies in mobile network offloading." In 7th International Conference on Cognitive Radio Oriented Wireless Networks. IEEE, 2012. http://dx.doi.org/10.4108/icst.crowncom.2012.248505.

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Du, Jun, Chunxiao Jiang, Haijun Zhang, Yong Ren, and Victor C. M. Leung. "Second-Price Auction Based Cognitive Traffic Offloading in Heterogeneous Networks." In 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2019. http://dx.doi.org/10.1109/iwcmc.2019.8766556.

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Carvalho, Jonata Tyska, and Stefano Nolfi. "Affordance generation enables behavioral plasticity and cognitive offloading in evolving robots." In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. http://dx.doi.org/10.1109/ssci.2016.7850179.

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Li, Qun, Zheng Yin, and Ding Xu. "Traffic Offloading Through Third-Party Cognitive Small Cells with Dual-Connectivity." In 2018 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2018. http://dx.doi.org/10.1109/iccchina.2018.8641252.

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Jia, Fan, Heli Zhang, Hong Ji, and Xi Li. "Distributed Resource Allocation and Computation Offloading Scheme for Cognitive Mobile Edge Computing Networks with NOMA." In 2018 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2018. http://dx.doi.org/10.1109/iccchina.2018.8641192.

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