The Role of Incentive Framing on Training and Transfer of Learning in a Visual Threat Detection Task

We examined the effects of different incentives on skill acquisition and transfer during threat detection in airline luggage screening. The incentives were presented within positive (gains) or negative (losses) frames, and points were given or taken away accordingly during training (with familiar targets) and transfer (to novel targets). During training, incentives exerted a more beneficial effect on skill acquisition than training without incentives. During transfer, incentives benefitted performance largely when presented as losses or penalties. Incentives framed as gains primed participants to say ‘yes’ more often leading to a high ratio of false positives; however, incentives framed as losses lead participants to become more selective in their ‘yes’ responses leading to a lower number of false positives but a comparable probability of correct detections. Interestingly, participants that received no training outperformed participants that received incentive‐based training, suggesting that incentives actually constrained rather than helped transfer of learning in this study. Copyright © 2011 John Wiley & Sons, Ltd.     

The selfish meme & the selflessATMA

The word ‘meme’ was first used by Richard Dawkins (Dawkins, 1976)¹ in the sense of a replicator to introduce the idea of cultural transmission through the process of imitation, just as genes are responsible for the evolution of organisms. Following Dawkins several writers came forth to have a closer look at ‘meme’. The consensus was that this was a fascinating way of explaining cultural evolution and transmission; that meme is the basic unit of (cultural) information whose existence influences events so as to make more copies of itself (Brodie, 1996).² The book which got most attention in this line of literature wasThe Meme Machine (Blackmore, 1993),³ which favours the idea that culture, like biology, evolves through the process of variation, selection and replication. Something striking in Blackmore’s thesis is that emotions and attitudes do not count as memes since they are subjective and never get passed on.     

Movement-Based Priming: Clinical Applications and Neural Mechanisms

Priming can be described as behavior change generated by preceding stimuli. Although various types of priming have been long studied in the field of psychology, priming that targets motor cortex is a relatively new topic of research in the fields of motor control and rehabilitation. In reference to a rehabilitation intervention, priming is categorized as a restorative approach. There are a myriad of possible priming approaches including noninvasive brain stimulation, motor imagery, and sensory-based priming, to name a few. The authors report on movement-based priming which, compared to other priming types, is less frequently examined and under reported. Movement-based priming includes, but is not limited to, bilateral motor priming, unilateral priming, and aerobic exercise. Clinical and neural mechanistic aspects of movement-based priming techniques are explored.     

Initial validation of the trust of automated systems test (TOAST)

ABSTRACT

Trust is a key determinant of whether people rely on automated systems in the military and the public. However, there is currently no standard for measuring trust in automated systems. In the present studies, we propose a scale to measure trust in automated systems that is grounded in current research and theory on trust formation, which we refer to as the Trust in Automated Systems Test (TOAST). We evaluated both the reliability of the scale structure and criterion validity using independent, military-affiliated and civilian samples. In both studies we found that the TOAST exhibited a two-factor structure, measuring system understanding and performance (respectively), and that factor scores significantly predicted scores on theoretically related constructs demonstrating clear criterion validity. We discuss the implications of our findings for advancing the empirical literature and in improving interface design.