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Digital technologies comprehensively change work processes and working conditions. However, the use of digital technologies and the modes of collaboration between technologies and human workers differ in terms of specific work organization and automatization. Referring to the job demands-resources model (JD-R), this paper investigates job demands and resources from the workers' perspectives and develops a digital work typology according to dimensions of digitalization and forms of human–computer interaction (HCI).

The authors conducted a qualitative-empirical study with 49 interviews in four German production and logistics organizations, emphasizing different job demands and job resources for five digital work types identified.

The results indicate that job demands and resources are to be differentiated in relation to specific work contexts. In this sense, this paper presents an analysis of dimensions of technology use and the impact of technology use on working conditions through empirically analyzing job demands and resources in digital work settings.

The contribution of this paper is to empirically analyze job demands and resources in digital work settings from the workers' perspectives and to develop a digital work typology based on the dimensions of digitalization and form of HCI. This typology can set the basis for further research insights as well as management practice measures in human resources management (HRM).

Distinguishing between autism characteristics and trauma-related symptoms may be clinically challenging, particularly in individuals who have experienced early traumatisation. Previous studies have described a risk that trauma-related symptoms are misinterpreted and/or misattributed to autism. This study aims to describe and explore assessment strategies to distinguish autism and early traumatisation in the case of a young woman with mild intellectual disability.

A clinical case study outlining assessment strategies, diagnostic decision-making and initial intervention.

A multi-informant interdisciplinary assessment using multiple assessment tools, together with a comprehensive review of records from previous assessments and contacts with various services, was helpful in distinguishing between autism and trauma. This included specific assessment tools for autism and trauma. Autism characteristics and trauma-related symptoms appeared to interact, not merely co-occur.

The current case demonstrates that diagnostic overshadowing may occur for autism in the context of early trauma. The case further highlights the importance of not ascribing trauma-related symptoms to autism, as service provision and treatment need to take account of both. Overlooking autism in individuals who have experienced early traumatisation may result in a risk that intervention and care are not appropriately adapted, which may involve a risk of exacerbating trauma symptoms.