Justin J. Couchman

The Comparative Study of Metacognition: Sharper Paradigms, Safer Inferences

Results that point to animals’ metacognitive capacity bear a heavy burden, given the potential for competing behavioral descriptions. In this article, formal models are used to evaluate the force of these descriptions. One example is that many existing studies have directly rewarded so-called uncertainty responses. Modeling confirms that this practice is an interpretative danger because it supports associative processes and encourages simpler interpretations. Another example is that existing studies raise the concern that animals avoid difficult stimuli not because of uncertainty monitored, but because of aversion given error-causing or reinforcementlean stimuli. Modeling also justifies this concern and shows that this problem is not addressed by the common practice of comparing performance on chosen and forced trials. The models and related discussion have utility for metacognition researchers and theorists broadly, because they specify the experimental operations that will best indicate a metacognitive capacity in humans or animals by eliminating alternative behavioral accounts.

The highs and lows of theoretical interpretation in animal-metacognition research

Humans feel uncertain. They know when they do not know. These feelings and the responses to them ground the research literature on metacognition. It is a natural question whether animals share this cognitive capacity, and thus animal metacognition has become an influential research area within comparative psychology. Researchers have explored this question by testing many species using perception and memory paradigms. There is an emerging consensus that animals share functional parallels with humans’ conscious metacognition. Of course, this research area poses difficult issues of scientific inference. How firmly should we hold the line in insisting that animals’ performances are low-level and associative? How high should we set the bar for concluding that animals share metacognitive capacities with humans? This area offers a constructive case study for considering theoretical problems that often confront comparative psychologists. The authors present this case study and address diverse issues of scientific judgement and interpretation within comparative psychology.

Self-agency in rhesus monkeys

Rhesus monkeys (Macaca mulatta) have shown the ability to monitor their own mental states, but fail the mirror self-recognition test. In humans, the sense of self-agency is closely related to self-awareness, and results from monitoring the relationship between intentional, sensorimotor and perceptual information. Humans and rhesus monkeys were trained to move a computer icon with a joystick while a distractor icon partially matched their movements. Both humans and monkeys were able to monitor and identify the icon they were controlling, suggesting they have some understanding of self-agency.

The interplay between uncertainty monitoring and working memory: Can metacognition become automatic?

The uncertainty response has grounded the study of metacognition in nonhuman animals. Recent research has explored the processes supporting uncertainty monitoring in monkeys. It has revealed that uncertainty responding, in contrast to perceptual responding, depends on significant working memory resources. The aim of the present study was to expand this research by examining whether uncertainty monitoring is also working memory demanding in humans. To explore this issue, human participants were tested with or without a cognitive load on a psychophysical discrimination task that included either an uncertainty response (allowing the participant to decline difficult trials) or a middle-perceptual response (labeling the same intermediate trial levels). The results demonstrated that cognitive load reduced uncertainty responding, but increased middle responding. However, this dissociation between uncertainty and middle responding was only observed when participants either lacked training or had very little training with the uncertainty response. If more training was provided, the effect of load was small. These results suggest that uncertainty responding is resource demanding, but with sufficient training, human participants can respond to uncertainty either by using minimal working memory resources or by effectively sharing resources. These results are discussed in relation to the literature on animal and human metacognition.

Humans and monkeys distinguish between self-generated, opposing, and random actions

The sense of self-agency results from monitoring the relationship between prior thoughts and action plans, sensorimotor information, and perceived outcomes. It is thought to be an important factor underlying self-recognition and self-awareness. Three experiments investigated the sense of self-agency in humans and rhesus macaques (Macaca mulatta). First, humans were asked to move a cursor with a joystick while several distractor cursors also moved on-screen. They were asked to identify either the cursor they were controlling, or a distractor using visual cues alone. Six rhesus macaques were then given a similar task in which they needed to identify a self-controlled cursor that was paired with several different types of distractors. Both groups were able to identify the self-controlled cursor, and monkeys performed best when the oppositely moving cursor was the distractor. A third experiment showed that humans, like macaques, use both perceptual and self-agency information to make decisions.

What Makes a Dog Adoptable? An Eye-Tracking Investigation

ABSTRACT Humans readily attribute personality and behavioral traits to dogs, and these attributions influence decisions about adoption. This study focused on how these attributions could be influenced by breed and pose by using pictures of four breeds (Doberman Pinscher, Golden Retriever, pit bull, and Rottweiler) in 4 poses (dog sitting alone, sitting with a human, standing alone, and walking on a leash with a human). Participants rated each picture on friendliness, aggressiveness, and adoptability. Eye-tracking technology identified which specific features were represented in each picture to determine whether they had any effect on the judgments. Although the Golden Retriever was seen as most adoptable, pose differences had many significant effects that could be useful for increasing the adoptability of all breeds. Data also revealed facial areas that attracted more attention (e.g., faster time to first fixation and longer fixation duration), particularly when the dog was alone. Focus on these areas could help to optimize photographs to present dogs in the friendliest, least aggressive, and most adoptable way.