Having to deal with multiple tasks at hand (i.e., multitasking) is typical rather than the exception in daily life. Although psychological research generally agrees in that multitasking often comes with performance decrements (e.g., Kiesel et al., 2010; Koch et al., 2018; but see Brüning et al., in press), there is little consensus about the precise way concurrent tasks are processed. In particular, a central and ongoing debate concerns whether humans can perform two tasks simultaneously (e.g., Meyer & Kieras, 1997; Miller et al., 2009; Navon & Miller, 2002; Tombu & Jolicœur, 2003) or whether certain parts of both tasks can only be carried out one after another in a serial fashion. While generally perceptual and motor stages of two tasks might run in parallel to any other processing stage, the central stage can only process one task at any point in time according to the latter view (Pashler, 1994; Welford, 1952). The second of two subsequently performed tasks must wait to gain access to this capacity-limited stage (for exceptions, see Janczyk, Pfister, Wallmeier, & Kunde, 2014), and this idle time of waiting is known as the cognitive slack. The often-deployed response selection bottleneck (RSB) model (Pashler, 1994; Welford, 1952) assumes that the serial capacity-limited central stage concerns response selection, thus limiting the cognitive system to apply only one stimulus-response rule (S-R) at a time (see Janczyk & Kunde, 2020, for an alternative interpretation).
Nevertheless, evidence contradicting the notion of strictly serial processing has accumulated recently. A particularly interesting piece of evidence in this regard is the backward crosstalk effect (BCE), that is, the observation that certain aspects of Task 2 already influence performance in Task 1 (Ellenbogen & Meiran, 2008; Giammarco et al., 2016; Hommel, 1998; Janczyk, 2016; Janczyk, Pfister, Hommel, & Kunde, 2014; Janczyk et al., 2018; Ko & Miller, 2014; Lien & Proctor, 2002; Logan & Delheimer, 2001; Logan & Schulkind, 2000; Miller, 2006). Processes related to response selection of the two tasks are thus not entirely isolated from each other. The exact mechanism, however, is highly debated and largely depends on the specific characteristics of the tasks at hand; such as working memory demands (e.g., Ellenbogen & Meiran, 2008; Hommel & Eglau, 2002), overlap at the response and/or stimulus level (e.g., Rieger & Miller, 2020), type of backward crosstalk (e.g., Durst & Janczyk, 2019), or the context of practice (e.g., Giammarco et al., 2016).
A compatibility-based BCE was first reported by Hommel (1998), who observed that even response times in Task 1 (RT1s) were shorter when certain task features of Task 1 were compatible with features of Task 2. In his first experiment, participants were presented with colored letters. The color of the letter required a manual left versus right keypress, whereas the identity of the letter was answered by vocally uttering the word ‘left’ versus ‘right’ (originally in German). The tasks thus had a (spatial) overlap in terms of their responses. When both responses were spatially compatible (e.g., a left manual keypress and a vocal ‘left’ utterance), RT1s were shorter than when both responses were spatially incompatible (e.g., a left manual keypress and a vocal ‘right’ utterance). This type of compatibility-based crosstalk, which we will henceforth refer to as the R1-R2 BCE, was replicated in numerous subsequent studies using two manual responses (Janczyk, Pfister, Hommel, & Kunde, 2014; Lien & Proctor, 2000; Miller & Durst, 2014; Thomson et al., 2010; Thomson et al., 2015; Watter & Logan, 2006), manual and pedal responses (Durst & Janczyk, 2019; Janczyk, 2016), or manual and vocal responses (Ellenbogen & Meiran, 2011; Renas et al., 2018).
Yet, a compatibility-based BCE can also be obtained when the stimulus in Task 1 (S1) conceptually overlaps with the response in Task 2 (R2) – the S1-R2 BCE. In his second Experiment, Hommel (1998) changed the instructions for Task 2. Participants now responded to the identity of the letter with the vocal utterance ‘red’ versus ‘green’ (originally in German). This created an overlap between S1 (red or green) and the response for Task 2 (uttering ‘red’ or ‘green’). When S1 and R2 were conceptually compatible (e.g., a red letter and the utterance ‘red’), RT1s were shorter relative to when S1 and R2 were conceptually incompatible (e.g., a red letter and the utterance ‘green’). Although investigated in one of the very first studies, the S1-R2 BCE has yet received relatively little attention in the literature. Only a few other studies reported instances of S1-R2 BCEs with conceptual overlap between the color of S1 and a vocal R2 (Ellenbogen & Meiran, 2008; Hommel & Eglau, 2002) and spatial overlap between an auditory S1 and a manual R2 (Lien et al., 2007). In sum, at least two types of compatibility-based BCEs can be distinguished: the R1-R2 BCE depends on the overlap between two responses, whereas the S1-R2 BCE depends on the conceptual overlap between S1 and R2 (for another type of compatibility-based BCE, see Rieger & Miller, 2020).
Conceivably, parts of the Task 2 response must be activated while Task 1 processing is still ongoing to yield a compatibility-based BCE. To account for this, several authors made the additional assumption of a response activation stage in between the stages of perception and response selection. Response activation itself is considered capacity-unlimited and thus can run in parallel with all other stages of another task (Hommel, 1998; Lien & Proctor, 2002; Schubert et al., 2008). When the temporal overlap of Task 1 and Task 2 is sufficiently high (i.e., at a short stimulus onset asynchrony, SOA), response activation from Task 2 can influence that of Task 1 (and vice versa). The result is a lengthened Task 1 response activation stage in incompatible relative to compatible trials, expressing itself in the form of a BCE (Hommel, 1998). According to this view, response activation is the locus of compatibility-based BCEs.
In contrast, recent studies identified the locus of the R1-R2 compatibility-based BCE in the capacity-limited central stage of Task 1 (Janczyk et al., 2018; Thomson et al., 2015). It is argued that response selection and response activation are not separate stages which run one after another. Rather, given that Task 1 has direct access to the central stage, the translation of S1 into a corresponding response in Task 1, usually denoted as response selection, starts immediately after stimulus perception (see Figure 1c of Janczyk et al., 2018). Task 1 response activation might still occur, but it is not a separate stage, distinct from and prior to Task 1 response selection. For Task 2, however, a different picture emerges. Response selection of Task 2 is delayed by Task 1, separating the process of response activation from the controlled one of response selection. As such, Task 2 response activation immediately follows stimulus perception and runs in parallel to Task 1 processing for some time. When Task 2 response activation temporally overlaps with the central stage of Task 1 response selection, crosstalk between both tasks is enabled and might influence the duration of the capacity-limited central stage of Task 1 (which then constitutes the locus).
Regarding the S1-R2 BCE, crosstalk is established between perceptual features of Task 1 and response features of Task 2. One might thus assume that the S1-R2 BCE has its locus within the perceptual stage of Task 1. Important for the current study, Janczyk et al. (2018), however, obtained some evidence in their third experiment that the S1-R2 BCE has its locus within the capacity-limited processing stage as well – similar to the R1-R2 BCE. Yet, the results nevertheless exhibited a descriptive trend that would be consistent with a perceptual locus of the S1-R2 BCE.1 Thus, at the present state, we cannot unambiguously exclude the involvement of the perceptual stage within the S1-R2 BCE, and–to the best of our knowledge–no other study has yet explicitly addressed this issue.
Against this background, the present experiment aims to clarify whether the S1-R2 BCE has its locus in the perceptual stage or not. If not, we then might assume that the S1-R2 BCE has its locus in the capacity-limited central stage instead and may thus share its locus with the R1-R2 BCE. To anticipate, this is what we conclude from our results.
To this end, participants performed separate blocks of dual-task trials, in which either an R1-R2 BCE or an S1-R2 BCE was enabled. In both types of blocks, we varied the brightness of S1 on a trial-by-trial basis – a manipulation affecting the perceptual stage (see Pashler & Johnston, 1989). We expected shorter RT1s for bright compared to dark S1s, and R1-R2 and S1-R2 BCEs in the respective blocks. The crucial predictions rely on Sternberg’s (1969) additive factors logic, which predicts an interaction of two experimental factors if they affect the same processing stage. If they affect different processing stages, on the other hand, additive effects are expected. As there is available evidence suggesting that the R1-R2 BCE has its locus in the central stage (Janczyk et al., 2018; Thomson et al., 2015), it should yield an additive effect of the R1-R2 BCE with S1 brightness. For the S1-R2 BCE, however, the trend towards underadditivity in Experiment 3 of Janczyk et al. (2018) leaves open the possibility of a perceptual locus. In this case, an interaction of the S1-R2 BCE with S1 brightness is expected. Additionally, because one would expect an interaction in blocks with the S1-R2 BCE, but not in blocks with the R1-R2 BCE, a three-way interaction between S1 brightness and the two types of BCEs should be present as well. In contrast, if the S1-R2 BCE does not have its locus in the perceptual stage, the S1-R2 BCE should have an additive effect with S1 brightness, and the three-way interaction should not be significant (see Figure 1 for a visualization of the predicted RT patterns). Since this required retaining null hypotheses, we additionally employed a Bayesian approach to data analyses.
Forty-eight students (34 female) from the University of Tübingen, aged 19 to 45 years (M = 23.6 years, SD = 5.11), participated for monetary compensation (8€) or course credit. All participants provided written informed consent before the experiment and had normal or corrected-to-normal vision.
A standard PC was used for stimulus presentation and response collection. Stimuli and instructions were presented on a 17-in. CRT monitor. Stimuli were red or green colored frames surrounding the white letters ‘H’ or ‘S’, presented in the center of an otherwise black screen. The color of the frame served as S1 and was either bright or dark. The identity of the letter served as S2. R1s were given manually via two response keys, one to the left and one to the right of the participant. R2s were vocal utterances. RT2s were measured with a voice key and the experimenter entered the identity of the response immediately.
The trial structure and tasks are illustrated in Figure 2. Task 1 (color) was to respond to S1 with a manual key press of the left or right index finger (R1), and Task 2 (letter identity) was to respond to S2 with a vocal utterance (R2). In R1-R2 BCE blocks, R2 was the vocal utterance ‘links’ or ‘rechts’ (German for ‘left’ and ‘right’). In S1-R2 BCE blocks, R2 was the vocal utterance ‘rot’ or ‘grün’ (German for ‘red’ and ‘green’). The S-R mappings of both tasks were counterbalanced across participants.
Each trial started with a white fixation cross (250 ms), followed by a blank screen (250 ms). Then, a bright or dark-colored frame surrounding the letter was presented at the center of the screen. Frame and letter were displayed at the same time (i.e., the SOA was 0 ms) for a maximum of 4000 ms or until both responses were registered. The next trial started after an inter-trial interval (ITI) of 1000 ms. In case of an error, a respective feedback message was presented on the screen for 1000 ms before the ITI.
Half of the participants started with the R1-R2 BCE task blocks, the other half with the S1-R2 BCE task blocks. Participants first performed a short practice block of 20 randomly drawn trials of the respective BCE task, followed by six experimental blocks of 64 trials, resulting from eight repetitions of all combinations of 2 S1 (red or green frame) × 2 S2 (‘H’ or ‘S’) × 2 S1 brightness (bright or dark). All trials were presented in a random order within each half of the experiment. Participants received written instructions that emphasized speed as well as accuracy and were asked to give R1 and R2 successively in a fixed order.
In R1-R2 BCE blocks, trials in which the required spatial position of R1 and the required vocal R2 matched (e.g., left index finger and the utterance ‘links’) were R1-R2 compatible, whereas the other trials were R1-R2 incompatible. In S1-R2 BCE blocks, trials in which the color of S1 and the required vocal R2 matched (e.g., a red frame and the utterance ‘rot’) were S1-R2 compatible, whereas the other trials were S1-R2 incompatible. Data from practice blocks, trials with task-unspecific errors (missing responses, wrong response order, two responses in one task), and trials with an inter-response interval (IRI) of less than or equal to 100 ms were excluded.2 For the analysis of RTs, only trials with correct responses in both tasks were considered. From the remaining ones, trials deviating more than 2.5 standard deviations from the individual cell mean were considered as outliers and excluded from the analysis (2.81% and 2.68% for Task 1 and Task 2, respectively). Mean RTs and error rates (ERs) were then submitted to separate 2 × 2 × 2 Analyses of Variances (ANOVAs) with the within-subject factors (1) compatibility (compatible vs. incompatible), (2) block type (R1-R2 BCE vs. S1-R2 BCE), and (3) S1 brightness (bright vs. dark). As mentioned before, our primary focus was on the significance/non-significance of the interaction terms compatibility × brightness and compatibility × block type × brightness. Because traditional ANOVA cannot assess evidence for the null hypotheses, we additionally calculated Bayes Factors for the two theoretically relevant interactions. Bayes Factors compare the probabilities of data given one model over another (e.g., interaction absent vs. interaction present). When multiplying a Bayes Factor with prior beliefs about each model, one can calculate a ratio that expresses which model is more likely given the data. As such, they provide a measure of the relative strength of evidence favoring either one of the compared models (see, e.g., Masson, 2011). We calculated Bayes Factors by comparing the full ANOVA-model (as the denominator) with models leaving the respective terms out, using the Bayes Factor package in R (Morey & Rouder, 2018).
Mean RT1s are visualized in Figure 3 (see also Table 1). Regarding the main effects, responses were faster in compatible (592 ms) relative to incompatible (650 ms) trials, the classical BCE, F(1,47) = 50.91, p < .001, , and when S1 was bright (610 ms) compared to dark (633 ms), F(1, 47) = 67.50, p < .001, . Neither the main effect of block type, nor any of the interactions reached statistical significance; block type, F(1, 47) < 0.01, p = .999, ; compatibility × block type, F(1, 47) = 0.11, p = .746, ; compatibility × brightness, F(1, 47) = 0.27, p = .605, ; block type × brightness, F(1, 47) = 0.96, p = .333, ; compatibility × block type × brightness, F(1, 47) = 1.99, p = .165, . Most important, however, these results included a non-significant interaction of compatibility with brightness, as well as a non-significant three-way interaction between compatibility, brightness, and block type. In both cases, the Bayes Factors indicated a slight tendency in favor of the null hypotheses; compatibility × brightness, B01 = 6.2 (±1.0%), compatibility × block type × brightness, B01 = 4.1 (±0.7%).
|Block type||Brightness||Task 1||Task 2|
Mean ERs in Task 1 are summarized in Table 1. First, participants made more errors when S1 was dark (4.5%) compared to bright (3.9%), F(1, 47) = 6.18, p = .017, . Second, ERs were higher in the R1-R2 (4.6%) relative to the S1-R2 (3.8%) blocks, F(1, 47) = 7.25, p = .010, . Third, ERs were higher in incompatible (5.5%) relative to compatible (2.9%) trials, F(1, 47) = 32.38, p < .001, . This difference was much smaller in the S1-R2 (4.4% vs. 3.3%) than in the R1-R2 (6.6% vs. 2.6%) blocks, as reflected by a significant interaction of compatibility with block type, F(1, 47) = 7.36, p = .009, . Most important, however, all other interactions did not reach statistical significance; compatibility × brightness, F(1, 47) = 0.48, p = .491, ; block type × brightness, F(1, 47) = 1.85, p = .180, ; compatibility × block type × brightness, F(1, 47) = 0.38, p = .543, . This (again) included a non-significant interaction of compatibility with brightness, as well as a non-significant three-way-interaction between compatibility, block type, and brightness. The according Bayes Factors for both interactions indicated a slight preference for the null hypotheses, B01 = 6.0 (±1.8%), and B01 = 4.4 (±1.4%), respectively.
Mean RT2s are summarized in Table 1, with all main effects reaching statistical significance. First, participants responded faster in compatible (1127 ms) relative to incompatible (1216 ms) trials, F(1, 47) = 70.42, p < .001, . Second, RT2s were shorter when S1 was bright (1157 ms) compared to dark (1186 ms), F(1, 47) = 58.78, p < .001, , likely resulting from propagation of the corresponding Task 1 effect. Third, RT2s were shorter in the R1-R2 (1148 ms) compared to the S1-R2 (1195 ms) blocks, F(1, 47) = 5.21, p = .027, . Importantly, as for RT1, none of the interaction terms reached statistical significance; compatibility × block type, F(1, 47) = 0.46, p = .499, ; compatibility × brightness, F(1, 47) = 0.12, p = .729, ; block type × brightness, F(1, 47) = 0.99, p = .325, ; compatibility × block type × brightness, F(1, 47) = 0.59, p = .445, . The according Bayes Factors for the two-way interaction of compatibility with brightness as well as for the three-way interaction of compatibility, block type, and brightness indicated a slight preference for the null hypotheses, B01 = 6.4 (±1.6%), and, B01 = 4.5 (±1.4%), respectively.
Errors in Task 2 (see Table 1) occurred more often in incompatible (4.3%) relative to compatible (2.5%) trials, F(1, 47) = 25.66, p < .001, . Neither one of the remaining main effects nor any interaction reached statistical significance, Fs(1, 47) ≤ 1.65, ps ≥ .206, . The according Bayes Factors for the two-way interaction of compatibility with brightness and for the three-way interaction between compatibility, brightness and block type indicated a slight preference for the null hypotheses, B01 = 6.4 (±1.9%), and, B01 = 4.0 (±1.4%), respectively.
Within the dual-tasking literature, an important line of research indicates that Task 1 processing is prone to interference from Task 2 response activation. Specifically, in the case of a conceptual or spatial overlap between features of Task 1 and Task 2, RT1s are often shorter when these features are compatible relative to incompatible, the so-called (compatibility-based) backward crosstalk effect (BCE; e.g., Durst & Janczyk, 2019; Hommel, 1998; Janczyk, Pfister, Hommel, & Kunde, 2014; Lien et al., 2007; Watter & Logan, 2006). Compatibility can be defined by (spatial) overlap of two responses, the R1-R2 BCE, but also by conceptual overlap of S1 and R2, the S1-R2 BCE. In the present study, we aimed to enhance our knowledge about–in particular–the S1-R2 BCE by investigating whether it has its locus within the perceptual stage of Task 1 or not.
As described in the introduction, Task 2 response activation in the context of the R1-R2 BCE likely affects the duration of the capacity-limited central stage of Task 1, that is, the stage of response selection (Janczyk et al., 2018; Thomson et al., 2015). The S1-R2 BCE, on the other hand, expresses interference between perceptual features of S1 and response characteristics of R2. One obvious way to think about this type of BCE is thus that it affects the perceptual stage of Task 1. To test this, we manipulated the Task 1 perceptual stage by presenting either dark or bright S1 stimuli. Following Sternberg’s (1969) additive factors logic, we should observe an interaction between stimulus brightness and S1-R2 compatibility, if S1-R2 crosstalk affects the same Task 1 perceptual stage as our perceptual manipulation. If not, an additive effect is expected. In sum, we did not observe convincing statistical evidence for an interaction, neither in terms of RTs nor in terms of ERs, as was further indicated by Bayesian inference.3 Our results are straightforward and render a perceptual locus of the S1-R2 BCE unlikely. In conjunction with Experiment 3 of Janczyk et al. (2018), we thus believe that such interference targets the capacity-limited central stage, similar to the R1-R2 BCE. In this latter experiment, a descriptive underadditive interaction between the S1-R2 BCE and an SOA manipulation was observed (see the Introduction for further information), which would be consistent with a pre-central locus of the S1-R2 BCE. However, since the interaction was not statistically significant the authors argued against a pre-central locus. The present results support this conclusion.
Based on the results, we suggest a tentative model integrating both BCEs in the following. Of course, this model is not tested with the present data, but we believe that it is reasonable and might guide future research when theorizing about compatibility-based BCEs (see Figure 4).
Consider a basic model of task processing comprising (at least) four processes to transform a stimulus into a required response (see also Johnston & McCann, 2006; Sanders, 1980): stimulus perception, stimulus classification, response selection, and motor production (see Figure 4). Stimulus classification is understood as meaning that a perceived stimulus with its modal features (e.g., the red-ness of a frame) is ‘linked’ to a semantic category (e.g., an amodal representation of RED that may be linked to the red color, but also to perceiving the word ‘red’). Then, a process of response selection links the category to a certain response via a category-response (C-R) rule (e.g., if RED then press left key; see also, e.g., Fagot & Pashler, 1992, for a related view). Assuming such a two-step process seems reasonable for two reasons. First, recent evidence indicates that the BCE is (at least partially) mediated via category-response (C-R) rules (Ellenbogen & Meiran, 2008; Thomson et al., 2010), and not necessarily via stimulus-response rules (Hommel, 1998).4 Second, for an S1-R2 BCE to occur, S1 and R2 need to overlap. Such an overlap would be hard to imagine if stimulus transition was merely based on S-R rules. This is because (a) we excluded a perceptual locus and (b) the output of such a translation process (e.g., a left response for S1) does not overlap with R2 (e.g., a ‘green’ utterance for S2). Instead, assuming an overlap at the level of semantic categories would inherently solve this issue, even though the category might only incorporate a single exemplar (e.g., the same ‘red’/‘green’ or ‘H’/‘S’ stimuli).
While capacity-limitations for response selection are usually taken for granted, the same argument has been made for stimulus classification (Johnston & McCann, 2006). Thus, we suggest that both processes occur during the capacity-limited central stage but need not necessarily be seen as distinct and serial stages. Instead, it might well be that stimulus classification and response selection are cascaded and hence do not run entirely one after the other in a strictly serial way (see, e.g., Dell, 1986, for a cascade model of speech production). Logically though, some amount of classification has to be carried out to serve as input into response selection. This is indicated by the dotted and diagonal lines within the central stages in Figure 4. Crosstalk occurs when the outcomes from one process do not only receive input from the to-be-processed task, that is, Task 1 in our case, but also from other tasks such as Task 2, which could facilitate or impede the production of the processes’ outcomes.
For both kinds of BCEs, we assume that, when S2 is presented, it is automatically classified to some degree due to its existing associations with the according category, leading to a C-R rule-mediated (transient) activation of a response for Task 2. This automatic response activation in Task 2, however, differs from the required capacity-limited processes of Task 2 stimulus classification and response selection, which can only start after the capacity-limited central stage of Task 1 (see the postponed Task 2 central stage in Figure 4). When S2 is presented concurrently with or briefly after S1, Task 2 response activation can interfere with Task 1 central processing (see Figure 4, where Task 2 response activation runs parallel to the Task 1 central stage). In the case of the R1-R2 BCE, the outcome of this activation is spatially compatible or incompatible to the outcome of the response selection process in Task 1, which leads to a shortening or lengthening of Task 1 response selection, respectively. In contrast, in the case of the S1-R2 BCE crosstalk occurs at the level of Task 1 stimulus classification. In this case, the outcome of Task 2 response activation is compatible or incompatible with the stimulus category of S1, and as a result, Task 1 stimulus classification is shortened or lengthened, respectively. It should be remembered, however, that this model is purely post-hoc and thus requires future studies to further test its value.
Based on Sternberg’s (1969) additive factors logic we ruled out a perceptual locus of the S1-R2 BCE and reasoned that in this case, the process of Task 2 response activation might influence Task 1 stimulus classification as part of the Task 1 central stage. Strictly speaking, however, this conclusion is not inevitable. The absence of an interaction of stimulus brightness with S1-R2 compatibility is compatible with any locus, except a perceptual one. The present results could also indicate that the S1-R2 BCE has its locus within the stages of Task 1 response execution, response selection, or both. Although consistent with Sternberg’s logic, we consider these possibilities as unlikely. During S1-R2 BCE blocks, R2 had little to no overlap with R1. Specifically, whereas Task 1 required a manual left or right response, Task 2 required a vocal utterance of ‘green’ or ‘red’. These responses use different effectors as well as different response categories and there should be little if any interference. Nevertheless, we strongly encourage future research to further scrutinize our conclusion. One way to do so might once again include Sternberg’s (1969) additive factors logic. For example, manipulating the similarity between S1 stimuli likely influences the time required for stimulus classification and should thus interact with the S1-R2 BCE, but not with the R1-R2 BCE.
Finally, in the present study, we defined crosstalk based on the correspondence between S1-R2 and R1-R2. Importantly, S1 was distinct from S2 in that S2 did not apply to Task 1 S-R-Rules (i.e., the stimuli were–in terms of the task-switching literature–univalent; e.g., Kiesel et al., 2010; Koch et al., 2018). Other types of BCEs, however, can be evoked by various manipulations. Miller (2006), for example, used a go/no-go task for Task 2. When Task 2 was a no-go trial, RT1s were longer compared to when Task 2 required a go trial, which is often referred to as the no-go BCE (see also Janczyk & Huestegge, 2017; Ko & Miller, 2014; Röttger & Haider, 2017). Although similar to the compatibility-based BCE at a phenomenological level, recent evidence by Durst and Janczyk (2018, 2019) suggests that the no-go BCE arises due to Task 2 response selection influencing the motor execution of Task 1 (but see Röttger & Haider, 2017, for a different opinion). While this is not contradictive to our results, it certainly shows that the herein proposed mechanism for the S1-R2 and the R1-R2 BCE is specific for a certain type of BCE, namely the compatibility-based BCE. Future attempts towards a unified framework that incorporates different BCEs might be a valuable approach for dual-task research.
In sum, continuing research by Janczyk et al. (2018), the present study further ruled out a perceptual locus of the S1-R2 BCE. Alternatively, we concluded that the S1-R2 BCE probably has its locus within a capacity-limited central stage, similar to the R1-R2 BCE. In detail, however, we tentatively suggest that the R1-R2 BCE affects Task 1 response selection, whereas the S1-R2 BCE influences Task 1 stimulus classification.
The data used within this study and a short description file can be found at: osf.io/86bhe.
1Janczyk et al. (2018; Experiments 1–3) applied the locus of slack logic (see Schweickert, 1978) in an extended psychological refractory period (PRP) experiment comprising three instead of two tasks. Task 1 was an unrelated binary tone discrimination task, while spatial or conceptual overlap was manipulated between Tasks 2 and 3; resulting in a BCE in Task 2. Following the locus of slack logic, an underadditive interaction of SOA with the BCE in Task 2 indicates that the BCE has its locus in a precentral stage, such as response activation or stimulus perception. Additive effects of SOA and the BCE, however, would indicate a locus of the BCE within or after the capacity-limited central stage. While all experiments revealed additive effects of SOA and the BCE, a descriptive trend towards underadditivity was indeed observed in Experiment 3, where a conceptual overlap between S2 and R3 was realized. This leaves open the possibility of a precentral locus of the S2-R3 BCE.
2To ensure that our observations were not distorted by response grouping (e.g., Ulrich & Miller, 2008), we ran identical analyses excluding trials with an IRI smaller than 150, 200, or 250 ms. In none of these cases did the result pattern change.
3Skeptical readers might criticize that the empirical Bayes Factors are inconclusive (with a range between 4.1 and 6.2 for Task 1). Although we agree that these values are not overwhelming, one should consider the descriptive value of the interaction between the S1-R2 BCE and stimulus brightness. The S1-R2 BCE was 57 ms and 53 ms in trials with dark compared to bright stimuli, respectively (see Table 1). The interaction thus refers to a difference of 4 ms (with a 95% confidence interval of [–13, 22]), which we consider as neglectable.
4This does, of course, not deny any influence of S-R-rules, especially after extensive practice. In the present context, however, we focus on a general framework that potentially allows accounting for both the R1-R2 and the S1-R2 BCE.
All procedures were in accordance with the Declaration of Helsinki. Ethical approval by an institutional and/or national board was not required.
This research was supported by grants JA2307/6-1 (awarded to MJ) and UL116/15-1 (awarded to RU) within the Priority Program 1772 ‘Human performance under multiple cognitive task requirements: From basic mechanisms to optimized task scheduling’ of the German Research Foundation (Deutsche Forschungsgemeinschaft; DFG).
The authors have no competing interests to declare.
Brüning, J., Mückstein, M., & Manzey, D. (in press). Multitasking strategies make the difference: Separating processing code resources boosts multitasking efficiency when individuals prefer to interleave tasks in free concurrent dual-tasking. Journal of Experimental Psychology: Human Perception and Performance. DOI: https://doi.org/10.1037/xhp0000865
Dell, G. S. (1986). A spreading-activation theory of retrieval in sentence production. Psychological Review, 93(3), 283–321. DOI: https://doi.org/10.1037/0033-295X.93.3.283
Durst, M., & Janczyk, M. (2018). The motor locus of no-go backward crosstalk. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(12), 1931–1946. DOI: https://doi.org/10.1037/xlm0000565
Durst, M., & Janczyk, M. (2019). Two types of backward crosstalk: Sequential modulations and evidence from the diffusion model. Acta Psychologica, 193, 132–152. DOI: https://doi.org/10.1016/j.actpsy.2018.11.013
Ellenbogen, R., & Meiran, N. (2008). Working memory involvement in dual-task performance: Evidence from the backward compatibility effect. Memory & Cognition, 36, 968–978. DOI: https://doi.org/10.3758/MC.36.5.968
Ellenbogen, R., & Meiran, N. (2011). Objects and events as determinants of parallel processing in dual tasks: Evidence from the backward compatibility effect. Journal of Experimental Psychology: Human Perception and Performance, 37(1), 152–167. DOI: https://doi.org/10.1037/a0019958
Fagot, C., & Pashler, H. (1992). Making two responses to a single object: Implications for the central attentional bottleneck. Journal of Experimental Psychology: Human Perception and Performance, 18(4), 1058–1079. DOI: https://doi.org/10.1037/0096-15184.108.40.2068
Giammarco, M., Thomson, S. J., & Watter, S. (2016). Dual-task backward compatibility effects are episodically mediated. Attention, Perception, & Psychophysics, 78(2), 520–541. DOI: https://doi.org/10.3758/s13414-015-0998-y
Hommel, B. (1998). Automatic stimulus–response translation in dual-task performance. Journal of Experimental Psychology: Human Perception and Performance, 24(5), 1368–1384. DOI: https://doi.org/10.1037/0096-15220.127.116.118
Hommel, B., & Eglau, B. (2002). Control of stimulus-response translation in dual-task performance. Psychological Research, 66(4), 260–273. DOI: https://doi.org/10.1007/s00426-002-0100-y
Janczyk, M. (2016). Sequential modulation of backward crosstalk and task-shielding in dual-tasking. Journal of Experimental Psychology: Human Perception and Performance, 42(5), 631–647. DOI: https://doi.org/10.1037/xhp0000170
Janczyk, M., & Huestegge, L. (2017). Effects of a no-go Task 2 on Task 1 performance in dual-tasking: From benefits to costs. Attention, Perception, & Psychophysics, 79(3), 796–806. DOI: https://doi.org/10.3758/s13414-016-1257-6
Janczyk, M., & Kunde, W. (2020). Dual tasking from a goal perspective. Psychological Review. Advance online publication. DOI: https://doi.org/10.1037/rev0000222
Janczyk, M., Pfister, R., Hommel, B., & Kunde, W. (2014). Who is talking in backward crosstalk? Disentangling response-from goal-conflict in dual-task performance. Cognition, 132(1), 30–43. DOI: https://doi.org/10.1016/j.cognition.2014.03.001
Janczyk, M., Pfister, R., Wallmeier, G., & Kunde, W. (2014). Exceptions to the PRP effect? A comparison of prepared and unconditioned reflexes. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(3), 776–786. DOI: https://doi.org/10.1037/a0035548
Janczyk, M., Renas, S., & Durst, M. (2018). Identifying the locus of compatibility-based backward crosstalk: Evidence from an extended PRP paradigm. Journal of Experimental Psychology: Human Perception and Performance, 44(2), 261–276. DOI: https://doi.org/10.1037/xhp0000445
Johnston, J. C., & McCann, R. S. (2006). On the locus of dual-task interference: Is there a bottleneck at the stimulus classification stage? The Quarterly Journal of Experimental Psychology, 59(4), 694–719. DOI: https://doi.org/10.1080/02724980543000015
Kiesel, A., Steinhauser, M., Wendt, M., Falkenstein, M., Jost, K., Philipp, A. M., & Koch, I. (2010). Control and interference in task switching–A review. Psychological Bulletin, 136(5), 849–874. DOI: https://doi.org/10.1037/a0019842
Ko, Y. T., & Miller, J. (2014). Locus of backward crosstalk effects on task 1 in a psychological refractory period task. Experimental Psychology, 61(1), 30–37. DOI: https://doi.org/10.1027/1618-3169/a000224
Koch, I., Poljac, E., Müller, H., & Kiesel, A. (2018). Cognitive structure, flexibility, and plasticity in human multitasking–An integrative review of dual-task and task-switching research. Psychological Bulletin, 144(6), 557–583. DOI: https://doi.org/10.1037/bul0000144
Lien, M.-C., & Proctor, R. W. (2000). Multiple spatial correspondence effects on dual-task performance. Journal of Experimental Psychology: Human Perception and Performance, 26(4), 1260–1280. DOI: https://doi.org/10.1037/0096-1518.104.22.1680
Lien, M.-C., & Proctor, R. W. (2002). Stimulus-response compatibility and psychological refractory period effects: Implications for response selection. Psychonomic Bulletin & Review, 9(2), 212–238. DOI: https://doi.org/10.3758/BF03196277
Lien, M.-C., Ruthruff, E., Hsieh, S., & Yu, Y.-T. (2007). Parallel central processing between tasks: Evidence from lateralized readiness potentials. Psychonomic Bulletin & Review, 14(1), 133–141. DOI: https://doi.org/10.3758/BF03194040
Logan, G. D., & Delheimer, J. A. (2001). Parallel memory retrieval in dual-task situations: II. Episodic memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(3), 668–685. DOI: https://doi.org/10.1037/0278-7322.214.171.1248
Logan, G. D., & Schulkind, M. D. (2000). Parallel memory retrieval in dual-task situations: I. Semantic memory. Journal of Experimental Psychology: Human Perception and Performance, 26(3), 1072–1090. DOI: https://doi.org/10.1037/0096-15126.96.36.1992
Masson, M. E. (2011). A tutorial on a practical Bayesian alternative to null-hypothesis significance testing. Behavior Research Methods, 43(3), 679–690. DOI: https://doi.org/10.3758/s13428-010-0049-5
Meyer, D. E., & Kieras, D. E. (1997). A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena. Psychological Review, 104(4), 749–791. DOI: https://doi.org/10.1037/0033-295X.104.4.749
Miller, J. (2006). Backward crosstalk effects in psychological refractory period paradigms: Effects of second-task response types on first-task response latencies. Psychological Research, 70(6), 484–493. DOI: https://doi.org/10.1007/s00426-005-0011-9
Miller, J., & Durst, M. (2014). “Just do it when you get a chance”: The effects of a background task on primary task performance. Attention, Perception, & Psychophysics, 76(8), 2560–2574. DOI: https://doi.org/10.3758/s13414-014-0730-3
Miller, J., Ulrich, R., & Rolke, B. (2009). On the optimality of serial and parallel processing in the psychological refractory period paradigm: Effects of the distribution of stimulus onset asynchronies. Cognitive Psychology, 58(3), 273–310. DOI: https://doi.org/10.1016/j.cogpsych.2006.08.003
Morey, R. D., & Rouder, J. N. (2018). BayesFactor: Computation of Bayes Factors for common designs. R package version 0.9.12-4.2. Retrieved from https://CRAN.R-project.org/package=BayesFactor
Navon, D., & Miller, J. (2002). Queuing or sharing? A critical evaluation of the single-bottleneck notion. Cognitive Psychology, 44(3), 193–251. DOI: https://doi.org/10.1006/cogp.2001.0767
Pashler, H. (1994). Dual-task interference in simple tasks: Data and theory. Psychological Bulletin, 116(2), 220–244. DOI: https://doi.org/10.1037/0033-2909.116.2.220
Pashler, H., & Johnston, J. C. (1989). Chronometric evidence for central postponement in temporally overlapping tasks. The Quarterly Journal of Experimental Psychology, 41(1), 19–45. DOI: https://doi.org/10.1080/14640748908402351
Renas, S., Durst, M., & Janczyk, M. (2018). Action effect features, but not anatomical features, determine the backward crosstalk effect: Evidence from crossed-hands experiments. Psychological Research, 82(5), 970–980. DOI: https://doi.org/10.1007/s00426-017-0873-7
Rieger, T., & Miller, J. (2020). Disentangling stimulus and response compatibility as potential sources of backward crosstalk. Attention, Perception, & Psychophysics, 1–17. DOI: https://doi.org/10.3758/s13414-020-02039-6
Röttger, E., & Haider, H. (2017). Investigating the characteristics of “not responding”: backward crosstalk in the PRP paradigm with forced vs. free no-go decisions. Psychological Research, 81(3), 596–610. DOI: https://doi.org/10.1007/s00426-016-0772-3
Sanders, A. F. (1980). Stage analysis of reaction processes. In G. E. Stelmach & J. Requin (Eds.), Tutorials in motor behavior (pp. 331–354). Amsterdam: North Holland. DOI: https://doi.org/10.1016/S0166-4115(08)61955-X
Schubert, T., Fischer, R., & Stelzel, C. (2008). Response activation in overlapping tasks and the response-selection bottleneck. Journal of Experimental Psychology: Human Perception and Performance, 34(2), 376–397. DOI: https://doi.org/10.1037/0096-15188.8.131.526
Schweickert, R. (1978). A critical path generalization of the additive factor method: Analysis of a stroop task. Journal of Mathematical Psychology, 18(2), 105–139. DOI: https://doi.org/10.1016/0022-2496(78)90059-7
Sternberg, S. (1969). The discovery of processing stages: Extensions of Donders’ method. Acta Psychologica, 30, 276–315. DOI: https://doi.org/10.1016/0001-6918(69)90055-9
Thomson, S. J., Danis, L. K., & Watter, S. (2015). PRP training shows Task1 response selection is the locus of the backward response compatibility effect. Psychonomic Bulletin & Review, 22(1), 212–218. DOI: https://doi.org/10.3758/s13423-014-0660-z
Thomson, S. J., Watter, S., & Finkelshtein, A. (2010). Parallel response selection in dual-task situations via automatic category-to-response translation. Attention, Perception, & Psychophysics, 72(7), 1791–1802. DOI: https://doi.org/10.3758/APP.72.7.1791
Tombu, M., & Jolicœur, P. (2003). A central capacity sharing model of dual-task performance. Journal of Experimental Psychology: Human Perception and Performance, 29(1), 3–18. DOI: https://doi.org/10.1037/0096-15184.108.40.206
Ulrich, R., & Miller, J. (2008). Response grouping in the psychological refractory period (PRP) paradigm: Models and contamination effects. Cognitive Psychology, 57(2), 75–121. DOI: https://doi.org/10.1016/j.cogpsych.2007.06.004
Watter, S., & Logan, G. D. (2006). Parallel response selection in dual-task situations. Perception & Psychophysics, 68(2), 254–277. DOI: https://doi.org/10.3758/BF03193674
Welford, A. T. (1952). The ‘psychological refractory period’ and the timing of high-speed performance–a review and a theory. British Journal of Psychology, 43(1), 2–19. DOI: https://doi.org/10.1111/j.2044-8295.1952.tb00322.x