Applying persuasive messages to reduce public outdoor smoking: A pseudo-randomized controlled trial.

Despite efforts to create dedicated smoking areas and no-smoking signs, many smokers continue to light their cigarettes in front of public building entrances-leading to concerns over health consequences for non-smokers passing by. To increase compliance with no-smoking requests, behavioral interventions that tap into habitual and automatic processes seem promising. A pseudo-randomized controlled trial was conducted to assess the differential impact of seven behavioral interventions based on Cialdini's principles of persuasion. Over a period of 9 weeks, the number of smokers was counted (total n = 17,930 observations) in front of a German University Medical Center. Relative to a baseline and a control condition, interventions based on the principles of reciprocity, scarcity, and authority were most effective in reducing the number of observed smokers in front of the building entrance (41.5%, 45.7%, and 52.1% reduction rates, respectively). Having observed smokers' behavior in vivo, this study provides substantial evidence for the impact of persuasive strategies on outdoor smoking. In the future, this knowledge should be used to protect non-smokers from second-hand smoke by increasing the use of designated smoking areas, leave to another place to smoke, or not smoke at all.

Does agency matter? Neural processing of robotic movements in 4- and 8-year olds.

Despite the increase in interactions between children and robots, our understanding of children's neural processing of robotic movements is limited. The current study theorized that motor resonance hinges on the agency of an actor: its ability to perform actions volitionally. As one of the first studies with a cross-sectional sample of preschoolers and older children and with a specific focus on robotic action (rather than abstract non-human action), the current study investigated whether the perceived agency of a robot moderated children's motor resonance for robotic movements, and whether this changed with age. Motor resonance was measured using electroencephalography (EEG) by assessing mu power while 4 and 8-year-olds observed actions performed by agentic versus non-agentic robots and humans. Results show that older children resonated more strongly with non-agentic than agentic robotic or human movement, while no such differences were found for preschoolers. This outcome is discussed in terms of a predictive coding account of motor resonance. Importantly, these findings contribute to the existing set of studies on this topic by showing that, while keeping all kinematic information constant, there is a clear developmental difference in how children process robotic movement depending on the level of agency of a robot.

Do We Take a Robot's Needs into Account? The Effect of Humanization on Prosocial Considerations Toward Other Human Beings and Robots.

Robots are becoming an integral part of society, yet the extent to which we are prosocial toward these nonliving objects is unclear. While previous research shows that we tend to take care of robots in high-risk, high-consequence situations, this has not been investigated in more day-to-day, low-consequence situations. Thus, we utilized an experimental paradigm (the Social Mindfulness "SoMi" paradigm) that involved a trade-off between participants' own interests and their willingness to take their task partner's needs into account. In two experiments, we investigated whether participants would take the needs of a robotic task partner into account to the same extent as when the task partner was a human (Study I), and whether this was modulated by participant's anthropomorphic attributions to said robot (Study II). In Study I, participants were presented with a social decision-making task, which they performed once by themselves (solo context) and once with a task partner (either a human or a robot). Subsequently, in Study II, participants performed the same task, but this time with both a human and a robotic task partner. The task partners were introduced via neutral or anthropomorphic priming stories. Results indicate that the effect of humanizing a task partner indeed increases our tendency to take someone else's needs into account in a social decision-making task. However, this effect was only found for a human task partner, not for a robot. Thus, while anthropomorphizing a robot may lead us to save it when it is about to perish, it does not make us more socially considerate of it in day-to-day situations.

Has your smartphone replaced your brain? Construction and validation of the Extended Mind Questionnaire (XMQ).

As digital devices, such as smartphones, are becoming ever more absorbed in the daily lives of adolescents, a major assumption is that they start taking over basic functions of the human mind. A main focus of current debate and research is therefore on investigating adolescents' use of digital technologies. However, the lack of an instrument measuring the degree to which adolescents offload cognitive and social functions to technology hinders debate and research. This paper tests the reliability and validity of the Extended Mind Questionnaire (XMQ) which measures the degree to which digital technology is used to offload cognitive and social functions. In a first study on young adults (n = 63), we constructed a 12-tem scale, which proved to be highly reliable. A large-scale study on teenagers (n = 947) demonstrated the high structural validity, reliability, and construct and criterion validity of the XMQ. In sum, these studies provide evidence that the XMQ is psychometrically sound and valid, and can be useful in future research on the consequences of digital technology in the daily lives of adolescents.

How (not) to increase older adults' tendency to anthropomorphise in serious games.

Among elderly, the use of serious games steadily increases. Research shows that anthropomorphising digital agents (i.e., ascribing human characteristics to them) has positive short-term consequences on interactions with digital agents. However, whether these effects can also be observed over a long-term period and in a real-life setting is unknown. In two studies, we investigated the important long-term consequences of anthropomorphism among older adults (age > 50) to increase involvement in serious games. Participants read either a story that highly anthropomorphized the digital agent of a training game, or a low anthropomorphism story about that agent. To investigate long-term effect, they played the training game for three weeks, and gaming data was assessed (number of games played, time of playing, points gained). While on the short-term, the anthropomorphic story increased the humanness of the agent (Study 1), no long-term effects where found (Study 2). Furthermore, an anthropomorphic story had no influence on the gaming outcome. Our results inform app developers about which techniques are useful to humanise digital agents.

Joint Action: Mental Representations, Shared Information and General Mechanisms for Coordinating with Others.

In joint action, multiple people coordinate their actions to perform a task together. This often requires precise temporal and spatial coordination. How do co-actors achieve this? How do they coordinate their actions toward a shared task goal? Here, we provide an overview of the mental representations involved in joint action, discuss how co-actors share sensorimotor information and what general mechanisms support coordination with others. By deliberately extending the review to aspects such as the cultural context in which a joint action takes place, we pay tribute to the complex and variable nature of this social phenomenon.