Ambient Multimodality: an Asset for Developing Universal Access to the Information Society
No\"elle Carbonell (INRIA Rocquencourt / INRIA Lorraine - LORIA)

TL;DR
This paper explores how ambient intelligence and ubiquitous computing can enhance universal access to information, especially aiding physically disabled individuals through multimodal interaction and flexible interfaces.
Contribution
It highlights the potential of ambient intelligence research to develop multimodal interfaces that improve computer access for disabled users, emphasizing inclusive design.
Findings
Most AmI projects focus on new interaction modalities.
AmI applications support daily activities with computing tasks.
New interaction devices can be tailored for disabled users.
Abstract
The paper tries to point out the benefits that can be derived from research advances in the implementation of concepts such as ambient intelligence (AmI) and ubiquitous or pervasive computing for promoting Universal Access (UA) to the Information Society, that is, for contributing to enable everybody, especially Physically Disabled (PD) people, to have easy access to all computing resources and information services that the coming worldwide Information Society will soon make available to the general public. Following definitions of basic concepts relating to multimodal interaction, the significant contribution of multimodality to developing UA is briefly argued. Then, a short state of the art in AmI research is presented. In the last section we bring out the potential contribution of advances in AmI research and technology to the improvement of computer access for PD people. This claim…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInteractive and Immersive Displays · ICT in Developing Communities · Context-Aware Activity Recognition Systems
