Niehaves, Bjoern
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Publication Access status: Metadata only , Mobile phone-based approach bias retraining for smokers seeking abstinence: a randomized-controlled studyApproach bias modification (ApBM) has shown promise in addiction treatment, but effects are small and ecological validity suffers from completing trainings in the laboratory. Providing app-based trainings via mobile phones could increase training efficacy. One-hundred-and-thirty-one smokers seeking abstinence attended a smoking cessation intervention and were thereafter randomized to one of three conditions: (a) app-based ApBM-training; (b) app-based sham training; (c) no training. App trainings were performed on 14 consecutive days at home. Behavioral and self-report data was assessed at pretest, posttest, and a 6-week follow-up. App-based ApBM led to stronger reductions in cigarette smoking as compared to no training. However, both training variants led to stronger declines in nicotine dependence and the sham training was superior in reducing alcohol consumption. Although approach biases for positive cues increased following ApBM training, this effect did not mediate treatment outcome. Other smoking-related cognitive biases did not change after training. Our results can inform future research in the optimization and advancement of ApBM treatment for addiction. Trial registration Registered with Current Controlled Trials: study ID ISRCTN15690771. Registered on 20 November 2018; http://www.isrctn.com/ISRCTN15690771 .Source Type:Article8 - Some of the metrics are blocked by yourconsent settings
Publication Access status: Open Access , To resist, or not to resist, that is the question: on the status quo bias of public sector employees when dealing with technologyTechnological innovations and new ways of working became the daily routine in German administrations at the municipal, the state and the federal level. Technology use among their employees is an essential aspect of mastering the digital transformation in the public sector. The employees’ status quo bias, however, profoundly influences their perception and behaviour in technology-related settings. The critical role of cognitive biases is recognised in many disciplines, including sociology, psychology, and marketing. Against this background, the objective of our work is to expand existing acceptance models with the aspect of bounded rationality and apply them to employees in the public sector. This allows us to gain theoretical insights concerning the resistance of using technology in this domain. As technology becomes ever more ubiquitous in times of the coronavirus pandemic, and as the performance and well-being of public sector employees is more and more important to the administrative board members, including the status quo bias perspective when dealing with technology use presents increasing theoretical and practical importance.Source Type:InProceedings4 12
