Stockholms universitet

Aleksandra AdlerUniversitetslektor

Om mig

Jag är vikarierande universitetslektor i översättningsvetenskap med inriktning mot tolkning vid Tolk- och översättarinstitutet, Institutionen för svenska och flerspråkighet, Stockholms universitet.

Jag disputerade i 2023 vid Tolk-och översättarinstitutet med en avhandling om kognitiv belastning i dialogtolkning. Jag har skrivit min avhandling inom ramen för VR-projektet Den osynliga processen - kognition och arbetsminne i dialogtolkning VR 2016-01118, 2017–2023 där jag arbetade med Elisabet Tiselius (projektledare) och Birgitta Englund Dimitrova som också var mina handledare.

 

I min forskning vill jag förstå kognitiva processer i dialogtolkning med särskilt fokus på hur tolkerfarenhet och språkriktning påverkar kognitiv belastning. Jag är också intresserad av beteendemässiga och neurala markörer för språkkontroll i dialogtolkning.

 

Undervisning

VT24 undervisar jag på följande kurser på grundnivå:

 

 

Forskningsprojekt

Publikationer

I urval från Stockholms universitets publikationsdatabas

  • Cognitive load in dialogue interpreting: Experience and directionality

    2023. Aleksandra Adler.

    Avhandling (Dok)

    This dissertation investigates the effect of experience and language direction on cognitive load in dialogue interpreting. The general objective of the study is to contribute to a better understanding of cognitive processes involved in dialogue interpreting. The present inquiry employs a multi- and mixed- method design and seeks to investigate disfluency measures as indicators of cognitive load in dialogue interpreting. Furthermore, the study aims to explore whether blink-based measures are sensitive to changes in cognitive load of dialogue interpreters. The present study is positioned within cognitive translation and interpreting studies (CTIS) and employs cognitive translatology as a framework, encompassing both cognitive and psycholinguistic approaches to translation and interpreting. Chen’s multidimensional theoretical construct of cognitive load in interpreting is explored in the study and remodeled to fit the context of dialogue interpreting and the assumptions of cognitive translatology. The data were collected from 17 dialogue interpreters during simulated interpreted encounters that recreated a situation commonly arising in a public service context in Sweden. The 10 inexperienced and 7 experienced interpreters all had Swedish as their working language, and the other working languages were French, Polish, and Spanish. Following the revised cognitive load model, the analyses of cognitive load focus on interpreter characteristics (interpreting experience) and on task and environmental characteristics (directionality). The results of analyses show that, in line with previous research, both interpreting experience and directionality modulate cognitive load of dialogue interpreters. Specifically, interpreting experience is demonstrated to attenuate cognitive load. In terms of directionality, interpreting into L2 is shown to be more cognitively demanding than interpreting into L1. Moreover, blink rate and blink rate variability (BRV) are explored as possible indicators of cognitive load. The analyses of blink measures suggest that no meaningful relationship can be found between blink measures and cognitive load.Finally, the complementary analyses of disfluency types in the utterances of the Polish interpreters (n=4) point to multifunctionality of disfluency in dialogue interpreting and to the multiple origins of cognitive load in interpreting dialogues. The analysis is performed from the perspective of the functional-cognitive view of disfluency proposed in the dissertation, whereby three disfluency context categories are identified and applied (cognitive-monitoring, cognitive-pragmatic, and cognitive-processing). Lexical access and rendition planning are identified as recurrent causes of cognitive load in dialogue interpreting. The study also makes theoretical and methodological contributions, primarily by revising the theoretical model of cognitive load in interpreting, which allows for operationalization of cognitive load with additional measures, in both experimental and naturalistic settings. Practical implications are a contribution to the understanding of the challenges interpreting into L2, and the impact of interpreters’ experience on interpreting. Overall, the study contributes to the emerging cognitive profile of dialogue interpreters.

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