Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile Interaction

Download

index.pdf

Date

2019-01-01

Author

Tigwell, Garreth W.
Sarsenbayeva, Zhanna
Gorman, Benjamin M.
Flatla, David R.
Goncalves, Jorge
Yesilada, Yeliz
Wobbrock, Jacob O.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

262
views

240
downloads

Situationally-induced impairments and disabilities (SIIDs) make it difficult for users of interactive computing systems to perform tasks due to context (e.g., listening to a phone call when in a noisy crowd) rather than a result of a congenital or acquired impairment (e.g., hearing damage). SIIDs are a great concern when considering the ubiquitousness of technology in a wide range of contexts. Considering our daily reliance on technology, and mobile technology in particular, it is increasingly important that we fully understand and model how SIIDs occur. Similarly, we must identify appropriate methods for sensing and adapting technology to reduce the effects of SIIDs. In this workshop, we will bring together researchers working on understanding, sensing, modelling, and adapting technologies to ameliorate the effects of SIIDs. This workshop will provide a venue to identify existing research gaps, new directions for future research, and opportunities for future collaboration.

Subject Keywords

Situational impairments, SIID, Accessible computing, Mobile devices, Wearables, IoT

URI

https://hdl.handle.net/11511/68386

DOI

https://doi.org/10.1145/3290607.3299029

Collections

Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Realization of a cue based motor imagery brain computer interface with its potential application to a wheelchair Akıncı, Berna; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2010) This thesis study focuses on the realization of an online cue based Motor Imagery (MI) Brain Computer Interface (BCI). For this purpose, some signal processing and classification methods are investigated. Specifically, several time-spatial-frequency methods, namely the Short Time Fourier Transform (STFT), Common Spatial Frequency Patterns (CSFP) and the Morlet Transform (MT) are implemented on a 2-class MI BCI system. Distinction Sensitive Learning Vector Quantization (DSLVQ) method is used as a feature sel...
A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System ÇAVDAR, ŞEYMA; Taşkaya Temizel, Tuğba; Musolesi, Mirco; Tino, Peter (2020-03-01) In this study, we investigate the effects of social context, personal and mobile phone usage on the inference of work engagement/challenge levels of knowledge workers and their responsiveness to well-being related notifications. Our results show that mobile application usage is associated to the responsiveness and work engagement/challenge levels of knowledge workers. We also developed multi-level (within- and between-subjects) models for the inference of attentional states and engagement/challenge levels w...
Estimation of Ground Reaction Forces Using Low-Cost Instrumented Forearm Crutches Seylan, Çağlar; Saranlı, Uluç (2018-06-01) Instrumented crutches are useful for many rehabilitation tasks, including monitoring the correctness of crutch use, analyzing gait properties for patients with lower-limb impairments, as well as providing sensory data for controlling lower-body robotic orthoses. In this paper, we describe the design and analysis of an instrumented crutch system equipped with low-cost accelerometer and pressure sensors to estimate all components of the ground reaction force (GRF), providing a well-defined and physically mean...
An application for continuous behavioral health monitoring and delivering digital personalized behavior change interventions Başkaya, Mert; Çiçekli, Fehime Nihan; Department of Computer Engineering (2021-12-10) In this thesis, a continuous behavioral health monitoring architecture is developed for chronic disease patients with a mobile application, a health data ingestion stack and a rule-based intervention engine. The mobile application is used for medical device integration and activity tracking. End-users also have interfaces to check their care plan activities, their adherence performances for them and to receive and configure motivational interventions and reminders about their activities. The ingestion stack...
Evaluation of hearing loss simulation using a speech intelligibility index ARIÖZ, UMUT; Günel Kılıç, Banu (2016-01-01) Hearing loss simulation (HLS) is a useful tool for hearing studies, since finding large numbers of hearing impaired volunteers with various levels of hearing loss is usually a problem. Correct simulation of the hearing impaired ear should take into account different suprathreshold effects, such as reduced frequency selectivity, reduced audibility, and loudness recruitment. Although these effects can be implemented using various algorithms, so far they have not been evaluated in detail taking into account su...

Citation Formats

G. W. Tigwell et al., “Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile Interaction,” 2019, p. 0, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68386.