A Relief from Mental Overload in a Digitalized World: How Context-Sensitive User Interfaces Can Enhance Cognitive Performance

Information overload resulting from the ever faster-growing mass of digital data makes knowledge work more and more complex. Being able to not get distracted and focus on what is currently relevant consumes valuable cognitive resources. Support by intelligent assistance software might alleviate this...

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Vydáno v:International journal of human-computer interaction Ročník 39; číslo 1; s. 140 - 150
Hlavní autoři: Gauselmann, Paula, Runge, Yannick, Jilek, Christian, Frings, Christian, Maus, Heiko, Tempel, Tobias
Médium: Journal Article
Jazyk:angličtina
Vydáno: Norwood Taylor & Francis 02.01.2023
Lawrence Erlbaum Associates, Inc
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ISSN:1044-7318, 1532-7590, 1044-7318
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Shrnutí:Information overload resulting from the ever faster-growing mass of digital data makes knowledge work more and more complex. Being able to not get distracted and focus on what is currently relevant consumes valuable cognitive resources. Support by intelligent assistance software might alleviate this problem. We report two experiments that addressed this challenge by examining how context-based assistance may provide more available cognitive resources. Experiment 1 focused on work within a single context. Results indicate that external relevance classification can improve memory for content classified as currently more relevant. Experiment 2 focused on switching between two different contexts and shows that cognitive performance after context switches can be enhanced by context-specific structuring and saving a previous task status. Taken together, these results clearly demonstrate that automatic external information structuring by intelligent assistance software can protect knowledge workers from information overload by lightening their cognitive load and, thus, help improve cognitive performance.
Bibliografie:ObjectType-Article-1
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ISSN:1044-7318
1532-7590
1044-7318
DOI:10.1080/10447318.2022.2041882