Influence of Regular Rhythmic Versus Textural Sound Sequences on Semantic and Conceptual Processing

Conceptual priming studies have shown that listening to musical primes triggers semantic activation. The present study further investigated with a free semantic evocation task, 1) how rhythmic vs. textural structures affect the amount of words evoked after a musical sequence, and 2) whether both features also affect the content of the semantic activation. Rhythmic sequences were composed of various percussion sounds with a strong underlying beat and metrical structure. Textural sound sequences consisted of blended timbres and sound sources evolving over time without identifiable pulse. Participants were asked to verbalize the concepts evoked by the musical sequences. We measured the number of words and lemmas produced after having listened to musical sequences of each condition, and we analyzed whether specific concepts were associated with each sequence type. Results showed that more words and lemmas were produced for textural sound sequences than for rhythmic sequences and that some concepts were specifically associated with each musical condition. Our findings suggest that listening to musical excerpts emphasizing different features influences semantic activation in different ways and extent. This might possibly be instantiated via cognitive mechanisms triggered by the acoustic characteristics of the excerpts as well as the perceived emotions.

Robots facilitate human language production

Despite recent developments in integrating autonomous and human-like robots into many aspects of everyday life, social interactions with robots are still a challenge. Here, we focus on a central tool for social interaction: verbal communication. We assess the extent to which humans co-represent (simulate and predict) a robot’s verbal actions. During a joint picture naming task, participants took turns in naming objects together with a social robot (Pepper, Softbank Robotics). Previous findings using this task with human partners revealed internal simulations on behalf of the partner down to the level of selecting words from the mental lexicon, reflected in partner-elicited inhibitory effects on subsequent naming. Here, with the robot, the partner-elicited inhibitory effects were not observed. Instead, naming was facilitated, as revealed by faster naming of word categories co-named with the robot. This facilitation suggests that robots, unlike humans, are not simulated down to the level of lexical selection. Instead, a robot’s speaking appears to be simulated at the initial level of language production where the meaning of the verbal message is generated, resulting in facilitated language production due to conceptual priming. We conclude that robots facilitate core conceptualization processes when humans transform thoughts to language during speaking.

Energy-Saving Behavior: the Different Roles of Altruism and of Environmentalism

This experimental study, in which 118 university students participated, addresses how environmental and altruistic cues induce energy-saving behavior and intention, and their interaction with environmental and altruistic values, thus testing the influence of context or situational variables in energy-saving behavior and intention. Additionally, it does an empirical approach to the role that environmental and altruistic values may have as individual predictors of energy-saving. Environmental and altruistic situational cues are operationalized by environment and altruism conceptual priming. The results reveal an interaction between situational variables and personal values: environment priming induced more energy-saving behavior among individuals with lower altruistic values. The same effect is not observed for energy-saving intention. When the environment and altruism priming were present, individuals with lower altruistic values had less energy-saving intentions. These results underline the importance of distinguishing environmental and altruistic frames and motives when explaining energy-saving behavior.