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Department of Rehabilitation Sciences
A lecture in the Audimax © Oliver Schaper​/​TU Dortmund

Theses

If you are interested in finishing your Bachelor or Master studies with a thesis in Inclusive Human-Robot Interaction, you are welcome to contact us. Our research projects are a rich source for ideas. In general, writing a thesis with a focus on inclusive HRI will require you to take a user-centred perspective and understand context and users in relation to the use of technology, in particular robots and stuff ;) Topics can be mostly analytical (doing extensive research on literature and/or conducting observations and interviews with users) or design and evaulation oriented (come up with new concepts and approaches for Human-Robot Interaction and test them with users). Depending on your background, you can perceive technology more as a black box or try to modify/design/create/implement new ways of interacting with robots.

Available Topics for Theses

Get in touch with us!

Currently, we are working on a list of potential theses topics. But until then, feel free to browse our research projects for inspiration or drop us an email to get in touch with either one of us.

 

Finished Theses

2024
Trust in AI-based Technical Systems for People with Visual Impairment and Blindness
Master thesis by Julia Dorothea Hayh
Lots of research has been conducted into the potential of AI-enabled assistive technologies (ATs) for people with visual impairment and blindness (PwVIB) to facilitate their independent perception, orientation and mobility (O&M) in various settings. However, PwVIB currently predominantly lack trust in these systems. Furthermore, there is a gap in the existing research on the factors that influence the trust of this target group in this context. This master’s thesis presents a scoping review, which provides an initial comprehensive overview of the available evidence in this field. It synthesizes fragmentary research findings from various disciplines and presents a conceptual map of the factors influencing the trust of PwVIB in AI-based O&M-ATs. The synthesis of existing research data facilitates the generation of higher-level findings that could subsequently assist to narrow the existing research gap. The conclusions of this review also suggest how trust-building aspects can be incorporated into ongoing and future research and development of AI-based ATs for PwVIB to henceforth address additional research desiderata identified in the scoping review.
Supervisors: Dr. Susanne Dirks, Dr. Max Pascher
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