In a task-switching situation,the user must activate resources for the second task and inhibit resources for the first task. If theuser fails to do so efficiently, performance is reduced, sometimes dramatically.
17 Matching Annotations
- Apr 2026
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glassmanlab.seas.harvard.edu glassmanlab.seas.harvard.edu
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If both tasks demandcontrolled processing, then the strategy in processing is split into two mechanisms: facilitationand inhibition.
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The implementation of such a strategy requires attentional resources, which canlead to task interference when the demand exceeds the available capacity.
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The third theory is information processing analysis theory. Ifat least one task can be carried out automatically, the other task can be carried out with little orno impact on performance (at an appropriate time–error trade-off point).
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- Nov 2024
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Local file Local fileLayout 11
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In the 1950s and 1960s, information retrieval (IR) theorists drew a distinction between“document retrieval systems” and “fact retrieval systems.” The former, were intendedto retrieve, in response to a user’s query, all documents that might contain informationpertinent to answering that query, while the latter were to lead the user directly tospecific pieces of information – facts – embedded within the documents being searchedthat would answer his or her question. The idea of information analysis clearlyprovided the theoretical impetus for fact retrieval (aka question-answering) systems
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- Oct 2022
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Local file Local file
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here are several ways I havefound useful to invite the sociological imagination:
C. Wright Mills delineates a rough definition of "sociological imagination" which could be thought of as a framework within tools for thought: 1. Combinatorial creativity<br /> 2. Diffuse thinking, flâneur<br /> 3. Changing perspective (how would x see this?) Writing dialogues is a useful method to accomplish this. (He doesn't state it, but acting as a devil's advocate is a useful technique here as well.)<br /> 4. Collecting and lay out all the multiple viewpoints and arguments on a topic. (This might presume the method of devil's advocate I mentioned above 😀)<br /> 5. Play and exploration with words and terms<br /> 6. Watching levels of generality and breaking things down into smaller constituent parts or building blocks. (This also might benefit of abstracting ideas from one space to another.)<br /> 7. Categorization or casting ideas into types 8. Cross-tabulating and creation of charts, tables, and diagrams or other visualizations 9. Comparative cases and examples - finding examples of an idea in other contexts and time settings for comparison and contrast 10. Extreme types and opposites (or polar types) - coming up with the most extreme examples of comparative cases or opposites of one's idea. (cross reference: Compass Points https://hypothes.is/a/Di4hzvftEeyY9EOsxaOg7w and thinking routines). This includes creating dimensions of study on an object - what axes define it? What indices can one find data or statistics on? 11. Create historical depth - examples may be limited in number, so what might exist in the historical record to provide depth.
Tags
- dimensions
- building blocks
- combinatorial creativity
- trend analysis
- thinking routines
- definitions
- categorization
- flâneur
- terms
- compass points
- abstraction
- historical perspective
- The Sociological Imagination
- historical context
- taxonomies
- generalization
- information visualization
- diffuse thinking
- browsing
- opposites
- sociological imagination
- devil's advocate
- dialogues
Annotators
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- Dec 2021
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www.npr.org www.npr.org
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Wood, D., & Brumfiel, G. (2021, December 5). Pro-Trump counties now have far higher COVID death rates. Misinformation is to blame. NPR. https://www.npr.org/sections/health-shots/2021/12/05/1059828993/data-vaccine-misinformation-trump-counties-covid-death-rate
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- Feb 2021
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psyarxiv.com psyarxiv.com
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Lakens, D. (2021). Sample Size Justification. PsyArXiv. https://doi.org/10.31234/osf.io/9d3yf
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- Oct 2020
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oro.open.ac.uk oro.open.ac.uk
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Burel, Gregoire; Farrell, Tracie; Mensio, Martino; Khare, Prashant and Alani, Harith (2020). Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In: Proceedings of the 12th International Social Informatics Conference (SocInfo), LNCS.
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- Sep 2020
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psyarxiv.com psyarxiv.com
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Karwowski, M., Zielinska, A., Jankowska, D., Strutynska, E., Omelanczuk, I., & Lebuda, I. (2020). Creative Lockdown? A Daily Diary Study of Creative Activity During Pandemics. 10.31234/osf.io/kvesm
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- Jul 2020
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Gleeson, J. P., Onaga, T., Fennell, P., Cotter, J., Burke, R., & O’Sullivan, D. J. P. (2020). Branching process descriptions of information cascades on Twitter. ArXiv:2007.08916 [Physics]. http://arxiv.org/abs/2007.08916
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- May 2020
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leoferres.info leoferres.info
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Ferres, L. (2020 April 10). COVID19 mobility reports. Leo's Blog. https://leoferres.info/blog/2020/04/10/covid19-mobility-reports/
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Vilella, S., Paolotti, D., Ruffo, G. et al. News and the city: understanding online press consumption patterns through mobile data. EPJ Data Sci. 9, 10 (2020). https://doi.org/10.1140/epjds/s13688-020-00228-9
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- Apr 2020
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Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q
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Source: Office for National Statistics - United Kingdom
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Punn, N. S., Sonbhadra, S. K., & Agarwal, S. (2020). COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms [Preprint]. Health Informatics. https://doi.org/10.1101/2020.04.08.20057679
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arxiv.org arxiv.org
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Alam, F., Sajjad, H., Imran, M., & Ofli, F. (2020). Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ArXiv:2004.06774 [Cs]. http://arxiv.org/abs/2004.06774
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