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    From Employee to Expert - Towards a Corona-Sensitive Approach for Data Collection
    (2021) Langemeyer, Ines; Gronau, Norbert; Schmid-Walz, Sabrina; Kotarski, David; Reimann, Daniela; Teichmann, Malte
    In the context of the collaborative project Ageing-appropriate, process-oriented and interactive further training in SME (API-KMU), innovative solutions for the challenges of demographic change and digitalisation are being developed for SMEs. To this end, an approach to age-appropriate training will be designed with the help of AR technology. In times of the corona pandemic, a special research design is necessary for the initial survey of the current state in the companies, which will be systematically elaborated in this paper. The results of the previous methodological considerations illustrate the necessity of a mix of methods to generate a deeper insight into the work processes. Video-based retrospective interviews seem to be a suitable instrument to adequately capture the employees' interpretative perspectives on their work activities. In conclusion, the paper identifies specific challenges, such as creating acceptance among employees, open questions, e.g., how a transfer or generalization of the results can succeed, and hypotheses that will have to be tested in the further course of the research process.
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    Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference
    (Springer International Publishing, 2020) Kröger, Jacob Leon; Lutz, Otto Hans-Martin; Raschke, Philip; Friedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel
    Internet-connected devices, such as smartphones, smartwatches, and laptops, have become ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors most commonly found in such devices are microphones. While various privacy concerns related to microphone-equipped devices have been raised and thoroughly discussed, the threat of unexpected inferences from audio data remains largely overlooked. Drawing from literature of diverse disciplines, this paper presents an overview of sensitive pieces of information that can, with the help of advanced data analysis methods, be derived from human speech and other acoustic elements in recorded audio. In addition to the linguistic content of speech, a speaker’s voice characteristics and manner of expression may implicitly contain a rich array of personal information, including cues to a speaker’s biometric identity, personality, physical traits, geographical origin, emotions, level of intoxication and sleepiness, age, gender, and health condition. Even a person’s socioeconomic status can be reflected in certain speech patterns. The findings compiled in this paper demonstrate that recent advances in voice and speech processing induce a new generation of privacy threats.
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    Ringen um das richtige Urteil — ein Fazit
    (transcript Verlag, 2020) Neuberger, Christoph; Gerlach, Frauke
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    When Ethics demands the already Present - How Ethics undermines effective data protection in the case of the Corona-Warn-App in Germany
    (transcript Verlag, 2022) Rehak, Rainer; Krämer, Dennis; Haltaufderheide, Joschka; Vollmann, Jochen
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    New working spaces in rural areas
    (Routledge, 2022) Lange, Bastian; Herlo, Bianca; Willi, Yasmine; Pütz, Marco