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Designing AI Technology for Interdependence with Sighted Guiding Companions

About the project
Start October 2022
This research project aims to design and develop an AI prototype that strengthens the collaborative work in the sighted guiding partnership. In sighted guiding, the guide bends and offers its arm to the person being guided. Their physical connection allows companions to accomplish navigation collaboratively. This project will advance perspectives that stress how access and independence are achieved through interdependence, opening up new opportunities to design AI-AT that supports cooperation between people through/with AI, better responds to people’s capacities, and therefore empowers people with VI in social life. Results will be technically innovative because of the increasing adaptability of AI-based AT to contextual, situational and personal factors and the capabilities of people with VI. This differs from previous approaches focused on object recognition and discrete tasks where the end-to-end scenario is easily defined.

Background
There are over 30 million people living with Visual Impairments (VI) in Europe. Often this medical condition interferes with the individual’s abilities to perform activities of everyday life, since in a world with a predominance of visual content, information access can be hard, tiring and frustrating. Nowadays, people with VI still suffer from forms of exclusion, such as marginalisation, and powerlessness in an increasingly digitalised society. People with VI are early adopters of Assistive Technology (AT), and AI-based AT (e.g., smartphone applications) is playing an increasing part in their daily lives. In Human-Computer Interaction (HCI) research, increased attention has been given to independent navigation. Here, AI technologies aim to solve a functional task, where the user follows turn-by-turn instructions to successfully reach a destination, and receive physical spatial information, such as the identification and proximity of obstacles, and landmarks. A promising alternative approach builds on the interdependence framework that sees AT as a way to extend the relations between one another, focusing on how actors are made more or less able, relationally, through other actors and through AT.

About the Digital Futures Postdoc Fellow
Beatrice Vincenzi, University of London, is a postdoc in the Interaction Design research group at KTH Royal Institute of Technology. She is interested in inclusivity and designing AI assistive technology for/with people with disabilities. She is passionate about exploring design methods which make space for accessibility, interdependence, and AI.

Main supervisor
Marianela Ciolfi Felice, KTH

Co-supervisor
Sanna Kuoppamäki, KTH

Contacts

Beatrice Vincenzi

Digital Futures Postdoctoral Fellow, Postdoc project: Designing AI Technology for Interdependence with Sighted Guiding Companions

bvin@kth.se

Marianela Ciolfi Felice

Assistant Professor in Interaction Design at KTH, Supervisor for Postdoc project Role of data-intensive methods in health advocacy efforts for disabled communities, Digital Futures Faculty

ciolfi@kth.se
Picture of Sanna Kuoppamäki

Sanna Kuoppamäki

Assistant Professor, Division of Technology in Health Care at KTH, Co-PI of research project Advanced Adaptive Intelligent Systems (AAIS), Co-Supervisor for Postdoc project Personalized Companion Robot for Open-Domain Dialogue in Long-Term Elderly Care, Digital Futures Faculty

+46 8 790 97 31
sannaku@kth.se