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Anja Thieme

Researcher at Microsoft

Publications -  64
Citations -  1853

Anja Thieme is an academic researcher from Microsoft. The author has contributed to research in topics: Mental health & Health care. The author has an hindex of 20, co-authored 57 publications receiving 1290 citations. Previous affiliations of Anja Thieme include Newcastle University.

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Proceedings ArticleDOI

"We've bin watching you": designing for reflection and social persuasion to promote sustainable lifestyles

TL;DR: Results of a user study reveal an increase in both users' awareness of, and reflection about, their waste management and their motivation to improve their waste-related skills.
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Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems

TL;DR: This article presents an introduction to, and a systematic review of, current ML work regarding psycho-socially based mental health conditions from the computing and HCI literature, and reflects on the current state-of-the-art of ML work for mental health.
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Enabling Collaboration in Learning Computer Programing Inclusive of Children with Vision Impairments

TL;DR: The paper contributes insights on the role of touch, audio and visual representations in designs inclusive of people with VI, and discusses the importance and opportunities provided through the 'social' in negotiations of accessibility, for learning, and for self-perceptions of ability and self-esteem.
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Syrian Refugees and Digital Health in Lebanon: Opportunities for Improving Antenatal Health

TL;DR: This paper conducted focus groups with 59 refugees in rural Lebanon to identify contextual and cultural factors that can inform the design of digital technologies to support refugee antenatal care (ANC) services, including refugee health beliefs and experiences, literacy levels, refugee perceptions of negative attitudes of healthcare providers, and hierarchal and familial structures.
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Designing beyond habit: opening space for improved recycling and food waste behaviors through processes of persuasion, social influence and aversive affect

TL;DR: A rich qualitative and explorative evaluation of the BinCam system, a two-part persuasive technology which replaces an everyday waste bin with one enabled to capture and share images of disposed of waste on an online social network, suggests that awareness raising leads to self-reflection and re-evaluation.