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Recent advances in large-scale data storage and processing offer unprecedented opportunities for behavioral scientists to collect and analyze naturalistic data, including from underrepresented groups. Audio data, particularly real-world audio recordings, are of particular interest to behavioral scientists because they provide high-fidelity access to subtle aspects of daily life and social interactions. However, these methodological advances pose novel risks to research participants and communities. In this article, we outline the benefits and challenges associated with collecting, analyzing, and sharing multi-hour audio recording data. Guided by the principles of autonomy, privacy, beneficence, and justice, we propose a set of ethical guidelines for the use of longform audio recordings in behavioral research. This article is also accompanied by an Open Science Framework Ethics Repository that includes informed consent resources such as frequent participant concerns and sample consent forms.

The aim of this study was to present a protocol for the validation of the Language ENvironment Analysis (LENA) System's conversational turn count (CTC) for Vietnamese speakers. Ten families of children aged between 22 and 42 months, recruited near Ho Chi Minh City, participated in this project. Each child wore the LENA audio recorder for a full day. Two native speakers listened to 10-min extracts of the recordings from each family and labeled conversational turns according to the coding protocol. Their results were compared with the findings from the LENA software. A Spearman rank correlation test indicated a strong level of correlation between the LENA software and the human coders, r s (18) = .70, p < .001. The LENA System's CTC provides a reasonably accurate estimate of conversational turns in Vietnamese recordings, showing that this protocol can yield significant results. Discrepancies between the coders and the software are discussed, and the strengths and weaknesses of the proposed protocol are highlighted.

Objectives: To measure the acceptance of a cochlear implant by children with single-sided deafness (SSD) using datalogging technology in the cochlear implant processor. Design: Datalogs from follow-up clinical audiology appointments for 23 children with SSD were extracted from their cochlear implant processors ranging from 1 to 8 visits (M = 3.74, SD = 1.79). The number of hours the cochlear implant was in use per day, the number of times the coil disconnected from the internal device, and the percentage of daily cochlear implant use in different auditory environments were collected from the datalogs. Linear mixed-effects regressions were used to analyze the relationship between age, hearing experience, cochlear implant use, and coil-offs per day. Nonlinear regressions were conducted to evaluate cochlear implant use in different environments. Results: Children with SSD wore their cochlear implants for 6.22 (SD = 2.81; range = 0.0004 to 14.74) hours per day on average. No significant change in cochlear implant use was seen as the children grew older or gained more hearing experience. As hearing experience increased, the number of coil-offs per day was reduced. Preschoolers spent more time in “music” and “speech” and less time in “noise” and “quiet” than older and younger children while older children spent more time in “speech-in-noise.” Conclusions: Children with SSD consistently wear their cochlear implants. However, the auditory environments to which they are exposed vary over time. Regular cochlear implant use by this population suggests that it does not detract from a normal-hearing ear and that children with SSD appreciate access to bilateral input.