Causal inference: relating language to event representations and events in the world
Events are not isolated but rather linked to one another in various dimensions. In language processing, various sources of information—including real-world knowledge, (representations of) current linguistic input and non-linguistic visual context—help establish causal connections between events. In...
| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Frontiers Media S.A.
2023-09-01
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| coleção: | Frontiers in Psychology |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1172928/full |
| _version_ | 1827814866438586368 |
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| author | Yipu Wei Pia Knoeferle Pia Knoeferle Pia Knoeferle |
| author_facet | Yipu Wei Pia Knoeferle Pia Knoeferle Pia Knoeferle |
| author_sort | Yipu Wei |
| collection | DOAJ |
| description | Events are not isolated but rather linked to one another in various dimensions. In language processing, various sources of information—including real-world knowledge, (representations of) current linguistic input and non-linguistic visual context—help establish causal connections between events. In this review, we discuss causal inference in relation to events and event knowledge as one aspect of world knowledge, and their representations in language comprehension. To evaluate the mechanism and time course of causal inference, we gather insights from studies on (1) implicit causality/consequentiality as a specific form of causal inference regarding the protagonists of cause/consequence events, and (2) the processing of causal relations. We highlight the importance of methodology in measuring causal inference, compare the results from different research methods, and emphasize the contribution of the visual-world paradigm to achieve a better understanding of causal inference. We recommend that further investigations of causal inference consider temporally sensitive measures and more detailed contexts. |
| first_indexed | 2024-03-11T23:51:56Z |
| format | Article |
| id | doaj.art-3968798c9d094d1a91f597e0c54cbb95 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-03-11T23:51:56Z |
| publishDate | 2023-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-3968798c9d094d1a91f597e0c54cbb952023-09-19T06:36:51ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-09-011410.3389/fpsyg.2023.11729281172928Causal inference: relating language to event representations and events in the worldYipu Wei0Pia Knoeferle1Pia Knoeferle2Pia Knoeferle3School of Chinese as a Second Language, Peking University, Beijing, ChinaDepartment of German Studies and Linguistics, Humboldt-Universität zu Berlin, Berlin, GermanyBerlin School of Mind and Brain, Berlin, GermanyEinstein Center for Neurosciences Berlin, Berlin, GermanyEvents are not isolated but rather linked to one another in various dimensions. In language processing, various sources of information—including real-world knowledge, (representations of) current linguistic input and non-linguistic visual context—help establish causal connections between events. In this review, we discuss causal inference in relation to events and event knowledge as one aspect of world knowledge, and their representations in language comprehension. To evaluate the mechanism and time course of causal inference, we gather insights from studies on (1) implicit causality/consequentiality as a specific form of causal inference regarding the protagonists of cause/consequence events, and (2) the processing of causal relations. We highlight the importance of methodology in measuring causal inference, compare the results from different research methods, and emphasize the contribution of the visual-world paradigm to achieve a better understanding of causal inference. We recommend that further investigations of causal inference consider temporally sensitive measures and more detailed contexts.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1172928/fullcausal inferenceevent representationimplicit causalityexpectation-driven processingvisual world paradigm |
| spellingShingle | Yipu Wei Pia Knoeferle Pia Knoeferle Pia Knoeferle Causal inference: relating language to event representations and events in the world Frontiers in Psychology causal inference event representation implicit causality expectation-driven processing visual world paradigm |
| title | Causal inference: relating language to event representations and events in the world |
| title_full | Causal inference: relating language to event representations and events in the world |
| title_fullStr | Causal inference: relating language to event representations and events in the world |
| title_full_unstemmed | Causal inference: relating language to event representations and events in the world |
| title_short | Causal inference: relating language to event representations and events in the world |
| title_sort | causal inference relating language to event representations and events in the world |
| topic | causal inference event representation implicit causality expectation-driven processing visual world paradigm |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1172928/full |
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