Number of senses and semantic settling dynamic model – speed/accuracy feedback as longer processing induction strategy
Апстракт
Previous semantic ambiguity research typically found processing advantage for
polysemous words (multiple related senses) and a disadvantage for homonymous
words (multiple unrelated meanings), compared to unambiguous controls (Rodd,
Gaskell, & Marslen-Wilson, 2002). However, any task change elicited different
effects, so the traditional account needed revision. Semantic Settling Dynamics
74
model was developed in order to account for the observed effect variations
(Armstrong & Plaut, 2016). Basic assumption of the model was that the apparent
inconsistencies arose as a consequence of between-task differences in time spent
in semantic processing. Shorter processing resulted in polysemy advantage and
longer processing in weaker polysemy advantage and homonymy disadvantage.
To test this prediction, authors applied a contrast reduction manipulation, where
a low contrast condition was expected to prolong processing. In a factorial design
(homonymy and polysemy compared at a group... level) this manipulation was of
a limited success. In an attempt to generalize model predictions to a finer measure
of ambiguity, we have previously attempted employing the same manipulation in
a correlational design where participants were presented with polysemous words
(1-18 senses). Results showed number of senses effect, but the low contrast
prolonging was marginal and had no influence on semantics. This indicated a
need for an alternative manipulation which in this case was giving speed and
accuracy feedback to participants compared to cases where such feedback was
absent. This was expected to slow down average reaction time between groups,
but its effect on the number of senses was previously unknown.
We presented 160 words with 1-18 senses and 160 pseudowords. Visual lexical
decision task was administered to 71 participants, divided into two groups – one
that received speed/accuracy feedback after trials and the one that did not. Linear
mixed effect regression revealed a significant number of senses effect
(t(140.14)=-2.339, p=.021), with no significant differences between two feedback
conditions. No interaction between feedback conditions and number of senses
was found.
Considering the manipulation failed to prolong overall reaction time and as a
consequence, semantic processing, it is difficult to rely on these results in
evaluation of the model. Further research is required to achieve significant
slowdown and decisively assess SSD’s ability to predict effect variation on a finer
measure of ambiguity.
Кључне речи:
semantic ambiguity, lexical processing, polysemy, Semantic Settling Dynamics, feedback / semantic ambiguity / lexical processing / polysemy / Semantic Settling Dynamics / feedbackИзвор:
XXIV naučni skup Empirijska istraživanja u psihologiji, knjiga rezimea, 2018, 73-Издавач:
- Institut za psihologiju, Filozofski fakultet, Univerzitet u Beogradu
- Laboratorija za eksperimentalnu psihologiju, Filozofski fakultet, Univerzitet u Beogradu
Финансирање / пројекти:
- Фундаментални когнитивни процеси и функције (RS-MESTD-Basic Research (BR or ON)-179033)
- Наследни, средински и психолошки чиниоци менталног здравља (RS-MESTD-Basic Research (BR or ON)-179006)
Напомена:
- Available at: http://empirijskaistrazivanja.org/wp-content/uploads/2020/01/Knjiga-Rezimea-EIP-18-c.pdf
URI
http://empirijskaistrazivanja.org/wp-content/uploads/2020/01/Knjiga-Rezimea-EIP-18-c.pdfhttp://reff.f.bg.ac.rs/handle/123456789/4790
Институција/група
Psihologija / PsychologyTY - CONF AU - Mišić, Ksenija AU - Filipović Đurđević, Dušica PY - 2018 UR - http://empirijskaistrazivanja.org/wp-content/uploads/2020/01/Knjiga-Rezimea-EIP-18-c.pdf UR - http://reff.f.bg.ac.rs/handle/123456789/4790 AB - Previous semantic ambiguity research typically found processing advantage for polysemous words (multiple related senses) and a disadvantage for homonymous words (multiple unrelated meanings), compared to unambiguous controls (Rodd, Gaskell, & Marslen-Wilson, 2002). However, any task change elicited different effects, so the traditional account needed revision. Semantic Settling Dynamics 74 model was developed in order to account for the observed effect variations (Armstrong & Plaut, 2016). Basic assumption of the model was that the apparent inconsistencies arose as a consequence of between-task differences in time spent in semantic processing. Shorter processing resulted in polysemy advantage and longer processing in weaker polysemy advantage and homonymy disadvantage. To test this prediction, authors applied a contrast reduction manipulation, where a low contrast condition was expected to prolong processing. In a factorial design (homonymy and polysemy compared at a group level) this manipulation was of a limited success. In an attempt to generalize model predictions to a finer measure of ambiguity, we have previously attempted employing the same manipulation in a correlational design where participants were presented with polysemous words (1-18 senses). Results showed number of senses effect, but the low contrast prolonging was marginal and had no influence on semantics. This indicated a need for an alternative manipulation which in this case was giving speed and accuracy feedback to participants compared to cases where such feedback was absent. This was expected to slow down average reaction time between groups, but its effect on the number of senses was previously unknown. We presented 160 words with 1-18 senses and 160 pseudowords. Visual lexical decision task was administered to 71 participants, divided into two groups – one that received speed/accuracy feedback after trials and the one that did not. Linear mixed effect regression revealed a significant number of senses effect (t(140.14)=-2.339, p=.021), with no significant differences between two feedback conditions. No interaction between feedback conditions and number of senses was found. Considering the manipulation failed to prolong overall reaction time and as a consequence, semantic processing, it is difficult to rely on these results in evaluation of the model. Further research is required to achieve significant slowdown and decisively assess SSD’s ability to predict effect variation on a finer measure of ambiguity. PB - Institut za psihologiju, Filozofski fakultet, Univerzitet u Beogradu PB - Laboratorija za eksperimentalnu psihologiju, Filozofski fakultet, Univerzitet u Beogradu C3 - XXIV naučni skup Empirijska istraživanja u psihologiji, knjiga rezimea T1 - Number of senses and semantic settling dynamic model – speed/accuracy feedback as longer processing induction strategy SP - 73 UR - https://hdl.handle.net/21.15107/rcub_reff_4790 ER -
@conference{ author = "Mišić, Ksenija and Filipović Đurđević, Dušica", year = "2018", abstract = "Previous semantic ambiguity research typically found processing advantage for polysemous words (multiple related senses) and a disadvantage for homonymous words (multiple unrelated meanings), compared to unambiguous controls (Rodd, Gaskell, & Marslen-Wilson, 2002). However, any task change elicited different effects, so the traditional account needed revision. Semantic Settling Dynamics 74 model was developed in order to account for the observed effect variations (Armstrong & Plaut, 2016). Basic assumption of the model was that the apparent inconsistencies arose as a consequence of between-task differences in time spent in semantic processing. Shorter processing resulted in polysemy advantage and longer processing in weaker polysemy advantage and homonymy disadvantage. To test this prediction, authors applied a contrast reduction manipulation, where a low contrast condition was expected to prolong processing. In a factorial design (homonymy and polysemy compared at a group level) this manipulation was of a limited success. In an attempt to generalize model predictions to a finer measure of ambiguity, we have previously attempted employing the same manipulation in a correlational design where participants were presented with polysemous words (1-18 senses). Results showed number of senses effect, but the low contrast prolonging was marginal and had no influence on semantics. This indicated a need for an alternative manipulation which in this case was giving speed and accuracy feedback to participants compared to cases where such feedback was absent. This was expected to slow down average reaction time between groups, but its effect on the number of senses was previously unknown. We presented 160 words with 1-18 senses and 160 pseudowords. Visual lexical decision task was administered to 71 participants, divided into two groups – one that received speed/accuracy feedback after trials and the one that did not. Linear mixed effect regression revealed a significant number of senses effect (t(140.14)=-2.339, p=.021), with no significant differences between two feedback conditions. No interaction between feedback conditions and number of senses was found. Considering the manipulation failed to prolong overall reaction time and as a consequence, semantic processing, it is difficult to rely on these results in evaluation of the model. Further research is required to achieve significant slowdown and decisively assess SSD’s ability to predict effect variation on a finer measure of ambiguity.", publisher = "Institut za psihologiju, Filozofski fakultet, Univerzitet u Beogradu, Laboratorija za eksperimentalnu psihologiju, Filozofski fakultet, Univerzitet u Beogradu", journal = "XXIV naučni skup Empirijska istraživanja u psihologiji, knjiga rezimea", title = "Number of senses and semantic settling dynamic model – speed/accuracy feedback as longer processing induction strategy", pages = "73", url = "https://hdl.handle.net/21.15107/rcub_reff_4790" }
Mišić, K.,& Filipović Đurđević, D.. (2018). Number of senses and semantic settling dynamic model – speed/accuracy feedback as longer processing induction strategy. in XXIV naučni skup Empirijska istraživanja u psihologiji, knjiga rezimea Institut za psihologiju, Filozofski fakultet, Univerzitet u Beogradu., 73. https://hdl.handle.net/21.15107/rcub_reff_4790
Mišić K, Filipović Đurđević D. Number of senses and semantic settling dynamic model – speed/accuracy feedback as longer processing induction strategy. in XXIV naučni skup Empirijska istraživanja u psihologiji, knjiga rezimea. 2018;:73. https://hdl.handle.net/21.15107/rcub_reff_4790 .
Mišić, Ksenija, Filipović Đurđević, Dušica, "Number of senses and semantic settling dynamic model – speed/accuracy feedback as longer processing induction strategy" in XXIV naučni skup Empirijska istraživanja u psihologiji, knjiga rezimea (2018):73, https://hdl.handle.net/21.15107/rcub_reff_4790 .
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