Abstract
Purpose of Review
This article provides an overview of current findings on Theory of Mind (ToM) in human children and adults and highlights the relationship between task specifications and their outcome in socio-cognitive research.
Recent Findings
ToM, the capacity to reason about and infer others’ mental states, develops progressively throughout childhood—the exact time course is still a matter of debate. Neuroimaging studies indicate the involvement of a widespread neuronal network during mentalizing, suggesting that ToM is a multifaceted process. Accordingly, the tasks and trainings that currently exist to investigate and enhance ToM are heterogeneous, and the outcomes largely depend on the paradigm that was used.
Summary
We argue for the implementation of multiple-task batteries in the assessment of socio-cognitive abilities. Decisions for a particular paradigm need to be carefully considered and justified. We want to emphasize the importance of targeted research on the relationship between task specifications and outcomes.
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Introduction
Humans are extraordinary social beings: we interact with various and varying groups; we bicker and play with each other; and we cooperate, trade, and deceive. Understanding and predicting the behavior of others is of crucial importance in our everyday lives, and the ability to do so is based on Theory of Mind (ToM; also termed mentalizing, cognitive perspective taking). ToM, the ability to reason about or infer others’ mental states, has been a core topic of social sciences for more than 40 years [1] and ever since has been investigated with a broad range of paradigms that make use of diverse materials. Participants in mentalizing research have read or memorized stories [2, 3], played games [4], and watched comic strips or film sequences [5, 6], all aiming to elicit thoughts about other people’s minds. Table 1 and Fig. 1 present examples for different ToM tasks. ToM has been investigated across various age groups [7, 8], in humans and in animals [9, 10], in typically developing individuals [8], and in psychopathologies [11]. As data from different paradigms accumulated, it became clear that ToM is not a monolithic ability, but rather a multifaceted construct with distinct interrelated sub-processes. As a result, the existing paradigms for ToM assessment are heterogeneous, focusing on different aspects of mentalizing, and none of them can capture the concept in its entirety [12••]. In this review, we aim to provide a brief overview of the current state and recent trends in human ToM research. Most importantly, we want to illustrate the impact a specific paradigm can have on the experimental outcome in this framework.
Developing ToM
Understanding other people’s mental states is a socio-cognitive competence that develops throughout childhood. Many researchers attribute this process to the sequential emergence of multiple interrelated concepts rather than a single event [7, 13]. Nevertheless, ToM advancements can be roughly divided into three stages: early ToM, which emerges in the first months of life; basic ToM, which is typically developed around the age of 4 years; and advanced ToM, which does not evolve until 6 to 8 years [14] and keeps developing throughout adolescence [15••]. Findings from neuroimaging studies suggest a common neuronal basis across the three types of ToM in 4-to-8-year-old children, with particularly strong similarities between basic and advanced ToM [16].
Early ToM
One of the most central debates in current ToM research concerns the mentalizing skills of young infants. The development of new paradigms with more implicit measures, such as spontaneous gaze behavior, paved the way for the investigation of ToM performance in children below the age of 2 years. Some studies suggested that infants as young as 7 to 15 months can master false belief (FB) tasks when implicit paradigms are used [17, 18]. More recently, however, the generalizability of this notion has been queried. For example, a meta-analysis revealed that infants’ correct performance in implicit FB tasks is highly influenced by the choice of paradigm [19••]. Children were more likely to pass the test when a Violation of Expectation (VOE) paradigm was implemented in the study, compared with anticipatory-looking (AL) or more interactive paradigms. In the VOE paradigm, an expectation, for instance about an agent’s behavior, is generated in an initial habituation phase after which the child is presented with either an expected or an unexpected event. The gaze behavior of the infant serves as indication for their inference about the agent’s mental state. This is both the benefit and the vulnerability of the paradigm. On the one hand, without any language requirements, even the youngest infants can participate in this task. On the other hand, without explicit responses, longer looking times in the test phase leave much room for interpretation; while they are typically taken as an indication of surprise about an event that is unexpected given the agent’s mental state, longer looking times could also reflect a more basic response to a novel stimulus [9, 19••]. Thus, deliberate construction of control conditions and habituation phases is necessary to prevent this potential confound—a requirement that many studies fail to satisfy [9, 20, 21]. Besides the choice of experimental paradigm, a broad range of task specifics can account for variance in the ToM performance of infants. These include the type of agent and the salience of its mental state as well as the movements of involved objects and whether or not deception was included in the task [19••].
A recent study revealed the significance of another characteristic of implicit ToM tasks. Fizke et al. [22] tracked the helping behavior of 2-to-3-year-old children in two versions of a FB task: one version included aspectuality whereas the other version of the task did not. Aspectuality denotes incompatible beliefs about an object or a person under two different aspects, for example knowing the person Clark Kent as himself versus knowing him as Superman without being aware of his private identity. Each of the two task versions used by Fizke et al. consisted of a true and a false belief condition. The toddlers reacted differently to the agent’s true versus false belief only when aspectuality was not involved in the task. This pattern was taken as an indication of conceptual deficits in infants and is in line with the finding that below the age of two, they are capable of tracking mental states and can master implicit FB tasks as long as an understanding of aspectuality or of other propositional attitudes is not necessary to pass the test [22,23,24,25].
Taken together, while spontaneous perspective taking in young infants appears to be a real phenomenon, it is highly dependent on formal and content-related aspects of the paradigm.
Basic ToM
As children grow older, direct questions can be used to examine their ToM skills. Classical investigations employing such elicited-response tasks showed that children from about 4 years of age are able to attribute mental states to others even when those states differ from their own [7]. Around this age, children acquire competence for a large variety of ToM tasks, and the high correlation between performance in these explicit first-order ToM tasks indicates the emergence of a conceptual capacity. Similarly, and in contrast to implicit paradigms, specifics of explicit FB tasks, such as characteristics of the protagonist or the type of question, appear to have no effect on performance [7]. This pattern speaks for a more tangible belief conception in children of 4 years and above, which is largely independent of FB task variations.
Whereas the reported within-task variance appears to be negligible, the content of the other’s mind has an impact on explicit ToM performance in pre-school children. Wellman and Liu [26] developed a scaled set of first-order ToM tasks and showed that understanding of different mental states in children aged 4 to 6 develops in a regular order with progressively broadening comprehension of subjectivity. Specifically, an understanding of desire and intention appears to emerge before an understanding of belief, while an understanding of hidden emotions arises much later. Findings from a recently developed auditory equivalent of the scale showed that children pass the tasks in almost the same order when auditory instead of visual material was presented, which indicates that the assessment of ToM development is modality independent [27•]. An auditory version of the scale could be especially useful for the assessment of children who show a delay in ToM development and face visual challenges, such as in children with congenital blindness [28].
Burnel et al. [29•] continued on this path and designed low verbal versions of Wellman and Liu’s tasks with largely similar outcomes. Taken together, these findings exemplify the sequential acquisition of specific ToM skills during childhood and emphasize the importance of a broad assessment of ToM performance during the pre-school years that goes beyond false belief understanding and includes scaled task batteries.
Besides the progressive understanding of mental states, linguistic abilities have a strong influence on ToM performance. The apparent differences in the age of ToM acquisition between studies can often be explained by differences in linguistic task demands [25, 29•, 30]. Together with the notion of a close correlation between ToM and language development [31•, 32], this finding demonstrates the impact of linguistic requirements in ToM assessment, especially when working with children.
Higher-Order ToM and Advanced ToM
Along with cognitive development, children acquire the competence to pass more complex mentalizing tasks, so called second-order ToM tasks. While first-order ToM refers to what people think about real events, second-order ToM goes one step further and encompasses what people think about other people’s thoughts. As a result, these tasks are inherently more complex and children are generally older when they first accomplish this level of mental state representation. Representations of second-order false beliefs are typically tested with the story vignettes approach by Wimmer and Perner [33]. Initial findings suggested that children pass second-order FB tasks under optimal conditions at the age of 6 or 7 years. However, by substantially reducing task complexity and linguistic demands, even 5-year-old children showed high success rates. Further facilitative effects have been reported when adding an extra question to prompt the mental state of the agent, such as “Does John know that Mary knows where the ice-cream man is now?” [32, 34].
Higher-order ToM includes even more levels than second-order ToM, whereas advanced ToM involves complex understandings of features such as irony, metaphors, or double deceptions. These more complex forms of ToM are acquired later than second-order FB reasoning, between 8 and 13 years [35], and improve throughout adulthood [36]. Recently, some of the most widely used paradigms to investigate these forms of social reasoning, in particular the Strange Stories Task [2], have been criticized for low internal consistency [37], and a multifactorial structure of these paradigms has been suggested [15••]. Specifically, (advanced) ToM seems to be an assembly of distinct socio-cognitive competences, including trait judgements, reasoning about rational behavior, and reasoning about ambiguity [12••, 15••]. Accordingly, capturing the development of advanced ToM throughout adolescence may require a carefully selected battery of tasks that allows targeting the specific underlying socio-cognitive processes.
Mature ToM
Two core questions dominate the investigation of fully developed socio-cognitive capacities. First, fanned by the rapid technical and methodological advances in imaging research, numerous studies addressed the neuronal underpinnings of ToM. Secondly, inter-individual differences in ToM performance and their relation to other constructs, such as executive functions, are informative about the nature of ToM. While paradigms typically used in neuroimaging research are relatively easy and often elicit performance that is at ceiling, research on inter-individual differences require tasks with a higher level of difficulty.
Neuronal Basis
The neuronal activation pattern that accompanies performance of ToM tasks has inspired imaging research for more than two decades. A wide range of experimental paradigms has been deployed, and consequently, findings have been heterogeneous. It is uncontested, however, that a distributed brain network is engaged during mentalizing [38, 39]. Two core regions of this network are the temporo-parietal junction bilaterally, which is most specifically engaged in reasoning about other person’s mental states [39, 40, 41••], and the medial prefrontal cortex [39], which has been suggested to be more generally involved in processing socially and emotionally relevant information [12••]. Other regions frequently associated with the mentalizing network include the posterior cingulate cortex and parts of the precuneus, the orbitofrontal cortex, the anterior temporal lobes, and the amygdala. Recent endeavors specifically investigated neuronal activation patterns during mentalizing in relation to the task that was employed and found that activation varies with study methodology [38, 39, 41••]. A direct within-participant comparison revealed distinct neuronal activation patterns for different ToM tasks” if this adds to clarity [42••] and specific features of the task, such as the mental state it taps into or whether belief reasoning refers to similar or dissimilar others, differentially engage specific regions of the ToM network [39]. As such, neuroimaging research supports the conceptualization of ToM as a multifaceted capacity with varying specifications depending on the context. Accordingly, future research should advance systematic comparisons of neuronal activation and their relation to different paradigms and task aspects [43]. This endeavor could provide valuable insights about the particular sub-processes that contribute to successful mentalizing.
ToM and Executive Functions
Like with so many other challenges in life, some people are better at ToM than others, and one important role in this context is played by executive functions (EF) [44, 45]. EF is an umbrella term for cognitive processes that foster goal-directed behavior and problem-solving, such as inhibition, updating of working memory, and cognitive flexibility [46]. The strong relationship between EF and ToM and the fact that both constructs comprise a large number of processes beg the question whether ToM tasks specifically measure mentalizing or whether—and to what extent—performance in these tasks relies on other, more general capacities. For instance, the inhibition of prepotent responses, that is critical in EF tasks, and the inhibition of one’s own mental states when inferring others’ mental states in ToM tasks might be very similar inhibition processes. Indeed, neuroscientific evidence suggests that areas associated with EF are involved in mentalizing [47]. A strong relationship has been demonstrated in first-order FB tasks, whereas the evidence for effects in second-order FB reasoning is less consistent [32].
Critically, the association of the two constructs can bias findings in ToM research, particularly in groups with limited or impaired EF, for example children, older adults, or patients with schizophrenia [8, 11, 45]. A well-designed task as well as the use of adequate comparison conditions is therefore especially important in these samples. In the case of schizophrenia, a fruitful approach to tap into ToM capacities irrespective of EF is the employment of instructions that only indirectly refer to ToM, for example sorting cartoon pictures (concerning the mental states of the displayed agents) in a logical order or explaining a joke [11]. Older adults, on the other hand, could benefit from verbal tasks because vocabulary increases with age [48]. Other important methodological parameters in this context include task complexity and time constraints as well as stimulus material and the modality of presentation [49].
Recent Advances
A central characteristic shared by most FB and other ToM tasks is the binary response format. The resulting pass-or-fail interpretation, together with the fact that performance in those tasks is usually at ceiling in adolescents and adults, makes it difficult to capture variance in mental state representation. Therefore, an important recent trend has been the extension of classical paradigms with continuous measures that allow for the investigation of inter-individual variability. For example, Bradford et al. [50] combined measures of correct performance, reaction time (RT), and electroencephalography (EEG) to investigate the role of perspective shifting in a ToM task. Other recent RT-based studies demonstrate a connection between visual perspective taking and cognitive perspective taking [51, 52]. Compared with exclusively relying on correct versus incorrect answers, the incorporation of RT measurement better allows for revealing inter-individual variability.
Another promising approach to capturing inter-individual variability in advanced ToM was introduced in the Edinburgh Social Cognition Test (ESCoT) [53]. The test employs cartoon-style dynamic interactions together with open questions that are rated based on the quality of the answer. With the dynamic stimulus material, the ESCoT also addresses another obvious yet often overlooked shortcoming of classic social cognition paradigms: their limited ecological validity. Some aspects of ToM are inherently interactive and therefore need to be studied in more complex, dynamic, and naturalistic settings. Other examples of new paradigms that incorporate this idea are the Strange Stories Film Task [54], that was based on the original stories from Happé [2], and the EmpaToM [6], that allows for a simultaneous manipulation and assessment of empathy and ToM with sufficient inter-individual variance in adults. A sample trial sequence of this video-based task is depicted in Fig. 1 (panel c), and the task is shortly described in the respective figure captions. In a recent pilot experiment, we employed eye tracking while participants performed the EmpaToM to investigate the relationship of basic gaze processes with empathic responding and ToM in a naturalistic social setting. Specifically, 41 participants (34 female, mean age 23.4 years) completed the EmpaToM on a CRT monitor while their gaze behavior was tracked with an EyeLink 1000 Desktop Mount eye tracker (SR Research Ltd., Ontario, Canada). We defined an area of interest around the eye region of the narrators in the video (80 × 230 pixels; see Fig. 2) and collected the percentage of fixations in this region and the percentage of time spent on the eyes. Due to technical difficulties and insufficient quality of eye data due to movements, data of 30 participants was available for further analysis (27 female, mean age 21 years). Results are presented in Fig. 2 (panel b). First, we found a substantial variance in the individual tendency to establish eye contact with the narrator during the video. Participants spent between 34 and 61% of the time looking at the eye region. In addition, participants who showed a higher empathy tendency spent less time overall looking at the eyes of the narrator during videos with negative valence (r = −.44, p = .015). This pattern is in line with the notion of a self-regulative role of gaze behavior in emotionally charged situations [55]. Hence, empathic participants may have downregulated their own emotions by looking away from the eye region during emotionally negative videos. Interestingly, the more time participants spent looking at the eyes of the narrator (relative to other areas) during videos with mental state interference was marginally positively related to performance in the subsequent ToM question (r = −.32, p = .085). This finding suggests that eye contact during a conversation might enhance the efficiency of mentalizing processes [56]. Given that present results are based on only 30 participants, that effects are relatively small, and that the study is entirely correlational, further studies are certainly necessary before strong conclusions can be drawn. However, we that think our pilot study suggests that probing the relation between basic perceptual and behavioral processes on the one hand and performance in ToM tasks on the other hand can be promising.
Rapid technical advances pave the way for even more naturalistic paradigms in adapting a second-person account. Live video feed, mobile eye tracking, or motion capture are promising ways to study social cognition in a more interactive and ecologically valid fashion (see Lehmann et al. [57] for a review). As virtual reality (VR) technology becomes more available, it is increasingly integrated in social cognition paradigms as well [58]. For example, in a recently developed VR task for the investigation of ToM in schizophrenia, participants run errands in a virtual shopping center [59]. The scenario involves social interactions which are complemented with multiple-choice questions requiring an interpretation of the encounter. The great opportunity of VR is the potential to bridge the gap between ecological validity and experimental control. Changes of specific variables, for example the gender of the interaction partner, can be easily implemented while keeping all other parameters constant. Moreover, VR facilitates reproducibility because, once created, scenarios can be shared across laboratories. In view of the replicability crisis, this is an opportunity of special importance.
Enhancement of Developing and Mature ToM
Even though ToM development follows a relatively consistent pattern across children, it can be promoted during childhood. In the first years of life, mental-state talk of the caregiver is related to children’s later understanding of the mind [60,61,62]. Storybook interactions with a special focus on the mental states of the character are an easy way for parents to support false belief understanding in this age group [63]. Later, during the first years of school, conversations about the mind and group discussions about mental states, which can be delivered by the teacher [64], can successfully enhance ToM skills [65,66,67]. While meta-analyses show that shorter periods of training with longer session durations seem to be more efficient, the discovery of the most effective training practices requires further research [68].
Interestingly, some studies incorporated additional outcome measures—with mixed results. For instance, training of first-order ToM can transfer onto more advanced forms of ToM [69], and a training that was mainly constructed to enhance children’s emotion understanding through conversational interventions on emotions also showed a positive effect on other social cognition aspects, such as ToM [65]. On the other hand, a storybook interaction approach intended to promote emotion understanding, social competence, and false belief understanding in pre-school children, only had an effect on the latter [63]. Training of an isolated feature, for example false belief understanding, cannot do justice to a multifaceted construct such as ToM. It is therefore not surprising that the increase in specific ToM skills in autistic children and adults after trainings with standardized tests often fail to transfer onto more generalized ToM measures or social competence in real life [70,71,72].
Recent research suggests that ToM performance can also be enhanced in healthy adults. A mental training protocol that targeted a rather wide range of socio-cognitive skills, such as flexible perspective taking on self and others and observing one’s own thoughts, led to increased performance in an advanced and high-level ToM task (EmpaToM, [73, 74]). The observed behavioral improvement was accompanied by changes in grey-matter volume in neuronal regions that are consistently associated with ToM [75].
The promotion of socio-cognitive capacities is of special interest in aging populations, as ToM has been found to decrease with age [76]. Fortunately, older adults benefit no less from ToM training than younger adults when a conversational approach is used [77]. Diversified ToM trainings that include practicing visual perspective taking, first- and higher-order ToM, and mentalizing in various real-life contexts seem suitable to enhance performance in different ToM measures in older adults [78, 79].
Taken together, ToM performance can be promoted throughout life, but the effects of social cognition trainings seem to critically depend on their content [70,71,72, 79]. An improvement of ToM in its entirety requires training of the whole spectrum of the concept. In this context, more true-to-life procedures are a promising avenue; 6 months after a 5-week VR-based social cognition training, autistic individuals reported increased social skills, such as maintaining a conversation and establishing relationships, in their everyday life [80].
Conclusions
In this article, we illustrate how the choice of paradigm and its characteristics shape the outcome of ToM assessment throughout all age groups. In young infants, spontaneous mentalizing skills as investigated with implicit designs largely depend on formal and content-related aspects of the task. In addition, linguistic requirements and the strong relationship between ToM and EF are critical when assessing ToM in childhood. A multiple-task battery allows a broad investigation, which enables a more comprehensive assessment of ToM capacities and helps to determine the current stage of ToM development in children [26]. In adults, behavioral observations and neuronal activation patterns exemplify the task-dependent and multifaceted nature of ToM. Similarly, while ToM performance can be promoted by training programs in both children and adults, the generalizability of training effects depends on the scope of the training, supporting the view that “you get what you give.”
Based on the findings reviewed in this article, we want to promote a multifaceted approach in the assessment of socio-cognitive competences. The application of multiple-task batteries instead of a monolithic treatment of ToM is of central importance in this context. In line with this point, we want to emphasize the significance of making deliberate and well-informed decisions about the paradigms, specific variations, and control conditions that are incorporated in research.
To achieve these objectives, further research needs to probe the precise relationship between task settings and their behavioral and neuronal outcomes in more detail. Existing meta-analyses on this issue provide a good basis [7, 12••, 19••, 41••, 76]. Systematic comparisons of different paradigms and their variations within the same population are vital for future research. Based on the notion that cultural variations exist in mentalizing [81, 82•], we believe that cross-cultural comparisons could be a fruitful addendum to this new line of research. A better understanding of the nature and the evolution of ToM could contribute to a well-grounded approach of future mentalizing assessment.
The incorporation of continuous measures and naturalistic stimuli are promising ways towards a more profound and comprehensive assessment of socio-cognitive capacities. This approach could be extended with a combination of diverse behavioral and physiological measures to capture the vast range of processes that contribute to and are involved during mentalizing. As an example, our abovementioned pilot findings suggest a relationship between basic attentional processes and advanced ToM capacity in adults: participants who spent more time looking at the eyes of narrators were somewhat better in understanding their mental states. Investigating the relationship between basic processes and ToM can pave the way for new approaches to promote mentalizing skills. Research revealed that both developing and mature ToM can be enhanced by relatively short training programs [69, 78]. Enhanced generalizability of these effects could be gained by training schedules that take the multifaceted nature of ToM into account. Furthermore, a better understanding of the exact mechanisms that drive training success is needed to further enhance the efficiency of these programs [68]. Of crucial importance in this context is a thorough investigation of the transfer effects of ToM trainings. These effects can shed light on the impact that mentalizing skills have outside of the laboratory, in terms of their contribution to enabling successful social interactions, as well as ensuring physical and mental health in everyday life.
References
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
Premack D, Woodruff G. Does the chimpanzee have a theory of mind? Behav Brain Sci. 1978;1:515–26.
Happé FGE. An advanced test of theory of mind: understanding of story characters’ thoughts and feelings by able autistic, mentally handicapped, and normal children and adults. J Autism Dev Disord. 1994;24:129–54.
Kindermann P, Dunbar R, Bentall RP. Theory-of-mind deficits and causal attributions. Br J Psychol. 1998;89:157–66.
Gallagher HL, Jack AI, Roepstorff A, Frith CD. Imaging the intentional stance in a competitive game. NeuroImage. 2002;16:814–21.
Brunet E, Sarfati Y, Hardy-Baylé M-C, Decety J. A PET investigation of the attribution of intentions with a nonverbal task. NeuroImage. 2000;11:157–66.
Kanske P, Böckler A, Trautwein F-M, Singer T. Dissecting the social brain: introducing the EmpaToM to reveal distinct neural networks and brain–behavior relations for empathy and theory of mind. NeuroImage. 2015;122:6–19.
Wellman HM, Cross D, Watson J. Meta-analysis of theory-of-mind development: the truth about false belief. Child Dev. 2001;72:655–84.
Johansson Nolaker E, Murray K, Happé F, Charlton RA. Cognitive and affective associations with an ecologically valid test of theory of mind across the lifespan. Neuropsychology. 2018;32:754–63.
Heyes C. Submentalizing: I am not really reading your mind. Perspect Psychol Sci. 2014;9:131–43.
Heyes CM. Theory of mind in nonhuman primates. Behav Brain Sci. 1998;21:101–14.
Langdon R, Connors M, Connaughton E. Indirect task instructions better reveal theory-of-mind impairment, independent of executive dysfunction, in schizophrenia. Psychiatry Res. 2017;256:342–4.
Schurz M, Radua J, Aichhorn M, Richlan F, Perner J. Fractionating theory of mind: a meta-analysis of functional brain imaging studies. Neurosci Biobehav R. 2014;42:9–34 This meta-analysis identified six task groups that are most commonly used in ToM imaging research and deduced the brain areas that are engaged during each task group.
Cadinu MR, Kiesner J. Children’s development of a theory of mind. Eur J Psychol Educ. 2000;15:93–111.
Hutchins TL, Prelock PA, Bonazinga L. Psychometric evaluation of the theory of mind inventory (ToMI): a study of typically developing children and children with autism Spectrum disorder. J Autism Dev Disord. 2012;42:327–41.
Osterhaus C, Koerber S, Sodian B. Scaling of advanced theory-of-mind tasks. Child Dev. 2016;87:1971–91 This study aims for the development of a scaled battery of advanced ToM tasks and implies that advanced ToM is a multifaceted construct.
Xiao Y, Geng F, Riggins T, Chen G, Redcay E. Neural correlates of developing theory of mind competence in early childhood. NeuroImage. 2019;184:707–16.
Baillargeon R, Scott RM, He Z. False-belief understanding in infants. Trends Cogn Sci. 2010;14:110–8.
Kovacs AM, Teglas E, Endress AD. The social sense: susceptibility to others’ beliefs in human infants and adults. Science. 2010;330:1830–4.
Barone P, Corradi G, Gomila A. Infants’ performance in spontaneous-response false belief tasks: a review and meta-analysis. Infant Behav Dev. 2019;57:101350 This article evaluates current evidence of spontaneous-response false belief tasks in young infants and questions the robustness of findings on implicit mentalizing abilities in children.
Kulke L, von Duhn B, Schneider D, Rakoczy H. Is implicit theory of mind a real and robust phenomenon? Results from a systematic replication study. Psychol Sci. 2018;29:888–900.
Kulke L, Johannsen J, Rakoczy H. Why can some implicit theory of mind tasks be replicated and others cannot? A test of mentalizing versus submentalizing accounts. PLoS One. 2019;14:e0213772.
Fizke E, Butterfill S, van de Loo L, Reindl E, Rakoczy H. Are there signature limits in early theory of mind? J Exp Child Psychol. 2017;162:209–24.
Oktay-Gür N, Schulz A, Rakoczy H. Children exhibit different performance patterns in explicit and implicit theory of mind tasks. Cognition. 2018;173:60–74.
Rakoczy H. In defense of a developmental dogma: children acquire propositional attitude folk psychology around age 4. Synthese. 2017;194:689–707.
Rakoczy H, Bergfeld D, Schwarz I, Fizke E. Explicit theory of mind is even more unified than previously assumed: belief ascription and understanding aspectuality emerge together in development. Child Dev. 2015;86:486–502.
Wellman HM, Liu D. Scaling of theory-of-mind tasks. Child Dev. 2004;75:523–41.
Hasni AA, Adamson LB, Williamson RA, Robins DL. Adding sound to theory of mind: comparing children’s development of mental-state understanding in the auditory and visual realms. J Exp Child Psychol. 2017;164:239–49 The authors of this study developed and tested an auditory version of a scaled ToM task battery for children.
Peterson CC, Peterson JL, Webb J. Factors influencing the development of a theory of mind in blind children. Br J Dev Psychol. 2000;18:431–47.
Burnel M, Perrone-Bertolotti M, Reboul A, Baciu M, Durrleman S. Reducing the language content in ToM tests: a developmental scale. Dev Psychol. 2018;54:293–307 This article introduces a scaled ToM task battery for children with minimum language requirements.
Kamawar D, Olson DR. Thinking about representations: the case of opaque contexts. J Exp Child Psychol. 2011;108:734–46.
Atkinson L, Slade L, Powell D, Levy JP. Theory of mind in emerging reading comprehension: a longitudinal study of early indirect and direct effects. J Exp Child Psychol. 2017;164:225–38 This longitudinal study highlights the close relationship between ToM development and language acquisition in children.
Miller SA. Children’s understanding of second-order mental states. Psychol Bull. 2009;135:749–73.
Perner J, Wimmer H. “John thinks that mary thinks that..” attribution of second-order beliefs by 5- to 10-year-old children. J Exp Child Psychol. 1985;39:437–71.
Sullivan K, Zaitchik D, Tager-Flusberg H. Preschoolers can attribute second-order beliefs. Dev Psychol. 1994;30:395–402.
Devine RT, Hughes C. Silent films and strange stories: theory of mind, gender, and social experiences in middle childhood. Child Dev. 2013;84:989–1003.
Dumontheil I, Apperly IA, Blakemore S-J. Online usage of theory of mind continues to develop in late adolescence. Dev Sci. 2010;13:331–8.
Hayward EO, Homer BD. Reliability and validity of advanced theory-of-mind measures in middle childhood and adolescence. Br J Dev Psychol. 2017;35:454–62.
Frith CD, Frith U. The neural basis of mentalizing. Neuron. 2006;50:531–4.
Carrington SJ, Bailey AJ. Are there theory of mind regions in the brain? A review of the neuroimaging literature. Hum Brain Mapp. 2009;30:2313–35.
Saxe R, Kanwisher N. People thinking about thinking people; the role of the temporo-parietal junction in “theory of mind”. NeuroImage. 2003;19:1835–42.
Schurz M, Tholen MG, Perner J, Mars RB, Sallet J. Specifying the brain anatomy underlying temporo-parietal junction activations for theory of mind: a review using probabilistic atlases from different imaging modalities: brain anatomy underlying temporo-parietal junction. Hum Brain Mapp. 2017;38:4788–805 This quantitative review relates the brain activation in TPJ peak coordinates to different ToM task types.
Spunt RP, Adolphs R. Validating the why/how contrast for functional MRI studies of theory of mind. NeuroImage. 2014;99:301–11 This study validates a new ToM localizer task for fMRI and compares it to the existing false belief localizer in one sample, revealing that clearly distinct brain areas are engaged during the two tasks.
Schaafsma SM, Pfaff DW, Spunt RP, Adolphs R. Deconstructing and reconstructing theory of mind. Trends Cogn Sci. 2015;19:65–72.
Aboulafia-Brakha T, Christe B, Martory M-D, Annoni J-M. Theory of mind tasks and executive functions: a systematic review of group studies in neurology: theory of mind and executive functions. J Nueropsychol. 2011;5:39–55.
Wade M, Prime H, Jenkins JM, Yeates KO, Williams T, Lee K. On the relation between theory of mind and executive functioning: a developmental cognitive neuroscience perspective. Psychon B Rev. 2018;25:2119–40.
Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol. 2000;41:49–100.
Saxe R, Schulz LE, Jiang YV. Reading minds versus following rules: dissociating theory of mind and executive control in the brain. Soc Neurosci. 2006;1:284–98.
Verhaeghen P. Aging and vocabulary score: a meta-analysis. Psychol Aging. 2003;18:332–9.
Laillier R, Viard A, Caillaud M, Duclos H, Bejanin A, de La Sayette V, et al. Neurocognitive determinants of theory of mind across the adult lifespan. Brain Cogn. 2019;136:103588.
Bradford EEF, Gomez J-C, Jentzsch I. Exploring the role of self/other perspective-shifting in theory of mind with behavioural and EEG measures. Soc Neurosci. 2019;14:530–44.
Bio BJ, Webb TW, Graziano MSA. Projecting one’s own spatial bias onto others during a theory-of-mind task. Proc Natl Acad Sci. 2018;115:E1684–9.
Conway JR, Bird G. Conceptualizing degrees of theory of mind. Proc Natl Acad Sci. 2018;115:1408–10.
Baksh RA, Abrahams S, Auyeung B, MacPherson SE. The Edinburgh social cognition test (ESCoT): examining the effects of age on a new measure of theory of mind and social norm understanding. PLoS One. 2018;13:e0195818.
Murray K, Johnston K, Cunnane H, Kerr C, Spain D, Gillan N, et al. A new test of advanced theory of mind: the “strange stories film task” captures social processing differences in adults with autism spectrum disorders: a new test of advanced theory of mind. Autism Res. 2017;10:1120–32.
Kendon A. Some functions of gaze-direction in social interaction. Acta Psychol. 1967;26:22–63.
Senju A, Johnson MH. The eye contact effect: mechanisms and development. Trends Cogn Sci. 2009;13:127–34.
Lehmann K, Maliske L, Böckler A, Kanske P. Social impairments in mental disorders: recent developments in studying the mechanisms of interactive behavior. Clin Psychol Eur. 2019;1:e33143.
Pan X, Hamilton AF de C. Why and how to use virtual reality to study human social interaction: the challenges of exploring a new research landscape. Br J Psychol. 2018;109:395–417.
Canty AL, Neumann DL, Shum DHK. Using virtual reality to assess theory of mind subprocesses and error types in early and chronic schizophrenia. Schizophr Res: Cognition. 2017;10:15–9.
Taumoepeau M, Ruffman T. Stepping stones to others’ minds: maternal talk relates to child mental state language and emotion understanding at 15, 24, and 33 months. Child Dev. 2008;79:284–302.
Meins E. Social relationships and children’s understanding of mind: attachment, internal states, and mind-mindedness. In: Siegal M, Surian L, editors. Access to language and cognitive development. Oxford: Oxford University Press; 2012. p. 22–43.
Ruffman T, Puri A, Galloway O, Su J, Taumoepeau M. Variety in parental use of “want” relates to subsequent growth in children’s theory of mind. Dev Psychol. 2018;54:677–88.
Tompkins V. Improving low-income preschoolers’ theory of mind: a training study. Cogn Dev. 2015;36:1–19.
Bianco F, Lecce S. Translating child development research into practice: can teachers foster children’s theory of mind in primary school? Br J Educ Psychol. 2016;86:592–605.
Ornaghi V, Brockmeier J, Grazzani I. Enhancing social cognition by training children in emotion understanding: a primary school study. J Exp Child Psychol. 2014;119:26–39.
Lecce S, Bianco F, Devine RT, Hughes C, Banerjee R. Promoting theory of mind during middle childhood: a training program. J Exp Child Psychol. 2014;126:52–67.
Bianco F, Lecce S, Banerjee R. Conversations about mental states and theory of mind development in middle childhood: a training study. J Exp Child Psychol. 2016;149:41–61.
Hofmann SG, Doan SN, Sprung M, Wilson A, Ebesutani C, Andrews LA, et al. Training children’s theory-of-mind: a meta-analysis of controlled studies. Cognition. 2016;150:200–12.
Lecce S, Bianco F, Demicheli P, Cavallini E. Training preschoolers on first-order false belief understanding: transfer on advanced ToM skills and metamemory. Child Dev. 2014;85:2404–18.
Ozonoff S, Miller JN. Teaching theory of mind: a new approach to social skills training for individuals with autism. J Autism Dev Disord. 1995;25:415–33.
Begeer S, Gevers C, Clifford P, Verhoeve M, Kat K, Hoddenbach E, et al. Theory of mind training in children with autism: a randomized controlled trial. J Autism Dev Disord. 2011;41:997–1006.
Golan O, Baron-Cohen S. Systemizing empathy: teaching adults with Asperger syndrome or high-functioning autism to recognize complex emotions using interactive multimedia. Dev Psychopathol. 2006;18.
Trautwein F-M, Kanske P, Böckler A, Singer T. Differential benefits of mental training types for attention, compassion, and theory of mind. Cognition. 2020;194:104039.
Böckler A, Herrmann L, Trautwein F-M, Holmes T, Singer T. Know thy selves: learning to understand oneself increases the ability to understand others. J Cogn Enhanc. 2017;1:197–209.
Valk SL, Bernhardt BC, Trautwein F-M, Böckler A, Kanske P, Guizard N, et al. Structural plasticity of the social brain: differential change after socio-affective and cognitive mental training. Sci Adv. 2017;3:e1700489.
Henry JD, Phillips LH, Ruffman T, Bailey PE. A meta-analytic review of age differences in theory of mind. Psychol Aging. 2013;28:826–39.
Rosi A, Cavallini E, Bottiroli S, Bianco F, Lecce S. Promoting theory of mind in older adults: does age play a role? Aging Ment Health. 2016;20:22–8.
Lecce S, Bottiroli S, Bianco F, Rosi A, Cavallini E. Training older adults on theory of mind (ToM): transfer on metamemory. Arch Gerontol Geriatr. 2015;60:217–26.
Cavallini E, Bianco F, Bottiroli S, Rosi A, Vecchi T, Lecce S. Training for generalization in theory of mind: a study with older adults. Front Psychol. 2015;6.
Kandalaft MR, Didehbani N, Krawczyk DC, Allen TT, Chapman SB. Virtual reality social cognition training for young adults with high-functioning autism. J Autism Dev Disord. 2013;43:34–44.
Heyes C. Four routes of cognitive evolution. Psychol Rev. 2003;110:713–27.
Heyes CM, Frith CD. The cultural evolution of mind reading. Science. 2014;344:1243091–1 This article emphasizes the striking similarities between ToM.
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Breil, C., Böckler, A. The Lens Shapes the View: on Task Dependency in ToM Research. Curr Behav Neurosci Rep 7, 41–50 (2020). https://doi.org/10.1007/s40473-020-00205-6
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DOI: https://doi.org/10.1007/s40473-020-00205-6