Which cognitive tools do we prefer to use, and is that preference rational?

Impact of Intrinsic Cognitive Skills and Metacognitive Beliefs on Tool Use Performance

Cognitive tools (e.g., calculators) provide all users with the same potential. Yet when people use such cognitive tools, interindividual variations are observed. Previous findings have indicated that 2 main factors could explain these variations: intrinsic cognitive skills (i.e., the “non–tool use” cognitive skills associated with the task targeted) and metacognitive beliefs about one's performance with tool use. In this study we sought to reproduce these findings and to investigate in more detail the nature of the relationships (i.e., linear vs. exponential) between tool use performance and intrinsic cognitive skills. In Experiment 1, 200 participants completed 2 cognitive tasks (calculation and geography) in 2 conditions (non–tool use vs. tool use). In Experiment 2, 70 participants performed a geography task in 2 conditions (non–tool use vs. tool use) and estimated their performance in each condition before completing the task. Results indicated that intrinsic cognitive skills and, to a lesser extent, metacognitive beliefs improved tool use performance: The higher the intrinsic cognitive skills and the higher participants estimated their tool use performance, the higher this tool use performance was. The nature of the relationship between tool use performance and intrinsic cognitive skills appeared to be linear rather than exponential. These findings extend previous research showing a strong impact of intrinsic cognitive skills on the performance associated with the use of cognitive tools or external aids.

The Toolman effect: Preexisting non-tool-use experience improves subsequent tool-use performance

This study explores whether performing a cognitive task without using a tool (i.e., preexisting non-tool-use experience) impacts subsequent tool-use performance. Sixty participants moved an avatar within a maze in four directions (up, down, left, right). The keys were remapped 90° anticlockwise (e.g., the right key → upward). Therefore, the participants had to learn the mental-rotation-based perceptual-motor transformation to complete the path as quickly as possible and with as few errors as possible. In Tool trials, a cognitive tool (i.e., an arrow symbol) helped the participants to find the correct key. In No Tool trials, they completed the task without the cognitive tool. The tool was introduced either early or late in the task. At the end of the task, all participants completed the task without the tool. Results indicated that preexisting non-tool-use experience improved subsequent tool-use efficiency (i.e., completion times). In addition, the early introduction of the tool induced an effectiveness bias (i.e., accuracy) that persisted even after the removal of the tool. By contrast, its late introduction favored the emergence of an efficiency bias that persisted even after the introduction of the tool. These findings provide new insights into the role of users' intrinsic cognitive skills in tool use.