Sentence Reading (RSVP)

Platform: PsychoPy · French · verified 66d ago

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Description

Participants silently read French sentences presented word-by-word (RSVP at 300 ms/word). Sentences contain ambiguous (colexified) or control words in resolved or unresolved contexts. On catch trials (7.5%), a probe word appears and participants judge whether it is related or unrelated to the sentence. The 2x2x2 design crosses Ambiguity (Amb/Ctrl), Item variant (1/2), and Resolution (resolved/unresolved). Sentences from the same ambiguous item are never presented in the same run. MEG triggers are sent on every word (11-18 by cell label, 19 for catch) and on sentence end (255), with photodiode markers at sentence onset.

Contact & Lab

Lab

NoCe Lab

noce-lab.github.io

Principal investigator

Valentina Borghesani

Valentina.Borghesani@unige.ch

University of Geneva

Task contact

abigail.licata@unige.ch

Contributors

Valentina Borghesani

University of Geneva

Supervision

Abigail Licata

University of Geneva

Conceptualization

Software

Methodology

Hugo Farajallah

University of Geneva

Software

Citation

MacGregor, L. J., Rodd, J. M., Gilbert, R. A., Hauk, O., Sohoglu, E., & Davis, M. H. (2020). The neural time course of semantic ambiguity resolution in speech comprehension. Journal of Cognitive Neuroscience, 32(3), 403–425. https://doi.org/10.1162/jocn_a_01493

Credits

Paradigm adapted to French directly from the English visual-RSVP study by MacGregor et al. (2020).

Domains

Psycholinguistics

Semantics

Part of suite:

CoLex

Target Population

Age Categories

young adults

Clinical Status

non-clinical

Additional Notes

Native and non-native French speakers

Languages

French

Run under

Engine

PsychoPy

Operating system

Any

Format

In-lab

Modalities

behavioral

meg

Task Outputs

What it measures

Investigate neural responses to ambiguous (colexified) sentence processing in native and non-native French speakers using MEG, examining how sentence context resolves or maintains lexico-semantic ambiguity.

Output formats

csv

One CSV per participant with all trials across runs, including original Excel metadata

Experimental design

Trial-based

258 trials

Within-subject: ambiguity, item_variant, resolution

Conditions

ambiguity

Amb

Ctrl

— Whether the critical word is ambiguous (colexified) or a control

item_variant

— Which variant of the ambiguous item pair

resolution

resolved

unresolved

— Whether the sentence context resolves the ambiguity

Key measures for analysis

Probe accuracy (%)
Probe mean RT (ms)
MEG evoked responses by condition (8 cells)

Recorded variables

Variable	Role	Type	Description	Unit
`participant_id`	metadata	string	Participant identifier	-
`run`	metadata	number	Run number (1-6)	-
`trial_in_run`	metadata	number	Trial number within the run	-
`is_catch`	independent	boolean	Whether this is a catch trial with a probe word	-
`cell_label`	independent	string	Experimental condition cell (e.g. Amb1_resolved, Ctrl2_unresolved) Values: Amb1_resolved, Amb1_unresolved, Amb2_resolved, Amb2_unresolved, Ctrl1_resolved, Ctrl1_unresolved, Ctrl2_resolved, Ctrl2_unresolved	-
`relation_normalized`	independent	string	Probe-sentence relation on catch trials Values: related, unrelated	-
`trigger_code_word`	metadata	number	MEG trigger code sent on every word (11-18 by cell label: Amb1_unresolved=11, Amb1_resolved=12, Amb2_unresolved=13, Amb2_resolved=14, Ctrl1_unresolved=15, Ctrl1_resolved=16, Ctrl2_unresolved=17, Ctrl2_resolved=18; 19 for catch; 99 fallback)	-
`trigger_code_end`	metadata	number	MEG trigger code sent at sentence end (constant 255)	-
`word_count`	metadata	number	Number of RSVP words in the sentence	-
`response_key`	dependent	string	Key pressed on catch trials (1=related, 2=unrelated)	-
`response_correct`	dependent	number	Whether the probe response was correct (1/0)	-
`rt_s`	dependent	number	Reaction time on catch trials	s
`fixation_duration_s`	metadata	number	Jittered fixation duration (0.2-0.7 s)	s