Previous studies have shown that guppies, Poecilia reticulata, can learn the route to a food source by shoaling with knowledgeable conspecifics, and prefer to shoal with experienced foragers and familiar fish. We tested the hypothesis that guppies would learn more effectively from (1) familiar than unfamiliar demonstrators and (2) well-trained than poorly trained demonstrators. Demonstrator fish were given experience in swimming a route to a food source and then introduced into shoals of untrained observer guppies; the spread of this foraging skill was recorded over 15 trials. The demonstrators were either familiar or unfamiliar to the observers and either well trained or poorly trained. Observers performed significantly better when the demonstrators were familiar. The training of the demonstrators made no overall difference to the performance of naïve observers. However, whilst observers in shoals exposed to well-trained demonstrators did better initially than those with poorly trained ones, the latter learned the route to the feeder faster. Our results suggest that familiarity may generate a form of directed social learning in guppy shoals, in which fish learn more effectively from familiar conspecifics. An analysis of who follows whom suggests that well-trained demonstrators can provide a 'tip-off' as to the location of the hole but poorly trained demonstrators were more likely to be followed. The results suggest that while observers are able to shoal with poorly trained demonstrators, well-trained demonstrators swim the maze route too quickly to be followed, but may attract attention to the maze route.

Background: Smartphone technologies and mHealth applications (or apps) promise unprecedented scope for data collection, treatment intervention, and relapse prevention when used in the field of substance abuse and addiction. This potential also raises new ethical challenges that researchers, clinicians, and software developers must address. Aims: This paper aims to identify ethical issues in the current uses of smartphones in addiction research and treatment. Methods: A search of three databases (PubMed, Web of Science and PsycInfo) identified 33 studies involving smartphones or mHealth applications for use in the research and treatment of substance abuse and addiction. A content analysis was conducted to identify how smartphones are being used in these fields and to highlight the ethical issues raised by these studies. Results: Smartphones are being used to collect large amounts of sensitive information, including personal information, geo-location, physiological activity, self-reports of mood and cravings, and the consumption of illicit drugs, alcohol and nicotine. Given that detailed information is being collected about potentially illegal behaviour, we identified the following ethical considerations: protecting user privacy, maximising equity in access, ensuring informed consent, providing participants with adequate clinical resources, communicating clinically relevant results to individuals, and the urgent need to demonstrate evidence of safety and efficacy of the technologies. Conclusions: mHealth technology offers the possibility to collect large amounts of valuable personal information that may enhance research and treatment of substance abuse and addiction. To realise this potential researchers, clinicians and app-developers must address these ethical concerns to maximise the benefits and minimise risks of harm to users.

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