AN INTERPLAY BETWEEN TASK COMPLEXITY, INDIVIDUAL DIFFERENCES AND SPEECH CONNECTEDNESS IN L2
Speech Connectedness; Task complexity; Working Memory Capacity; Speech Graphs.
The present thesis is located in the field of second language acquisition and aims to investigate the effects of task complexity manipulation on speech connectedness, measured through speech graph attributes. Moreover, we seek to further understand the role of learners' individual differences in Working Memory Capacity (WMC) and Theory of Mind (ToM). This study recruited Brazilian L2-English speakers (n=12), regular students in the Access E2C English course. Participants who agreed to participate in the research signed a consent form prior to data collection. The protocols used in this study included: Oral here-and-now narrative tasks in L2, which varied in complexity; a self-paced reading-span test (Oliveira et. al., 2021) for WMC measures; and a Faux-Pas (Baron-Cohen, O'Riordan, Stone, Jones, & Plaisted, 1999) test to assess participants' ToM levels. The collected data for L2 oral tasks were treated using the computational tool Speech Graphs (Mota et al., 2012, 2016, 2019) for speech graph generation. A preliminary statistical analysis was conducted in order to address our first research question: Does speech connectedness vary as a function of Task Complexity? Despite our small sample, we were able to find a significant positive correlation between connectivity measures for both task conditions, indicating a tendency for our complete analysis.