Vicki L. Hanson

Association for Computing Machinery

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John T. Richards

IBM (United States)

Shari Trewin

IBM (United States)

Hugo Nicolau

University of Lisbon

Kyle Montague

Northumbria University

Lorna J. Gibson

London School of Hygiene & Tropical Medicine

Marianne Dee

University of Dundee

Peter G. Fairweather

Flinders University

Mark R. Laff

IBM (United States)

Andrew Sears

University of Maryland, Baltimore County

Annalu Waller

University of Dundee

Cooperative Institutions

Association for Computing Machinery

Penn Center for AIDS Research

UNSW Sydney

European Council

University of Dundee

IBM (United States)

IBM Research - Thomas J. Watson Research Center

University of Utah

Rochester Institute of Technology

Google (United States)

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The Use of Smart Glasses for Lecture Comprehension by Deaf and Hard of Hearing Students

Ashley Miller Joan Malasig Brenda Castro Vicki L. Hanson Hugo Nicolau

Deaf and hard of hearing students must constantly switch between several visual sources to gather all necessary information during a classroom lecture (e.g., instructor, slides, sign language interpreter or captioning). Using smart glasses, this research tested a potential means to reduce the effects of visual field switches, proposing that consolidating sources into a single display may improve lecture comprehension. Results showed no statistically significant comprehension improvements with the glasses, but interviews indicated that participants found it easier to follow the lecture with glasses and saw the potential for them in the classroom. Future work highlights priorities for smart glasses consideration and new research directions.

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Assistive Technology

10.1145/3027063.3053117

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Citations (30)

Los avances logrados en la traducción de idiomas gracias a la IA son especialmente prometedores para el mundo en desarrollo

Actualidades de la UIT (2019)

Vicki L. Hanson

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Accessibility Support for Older Adults with the ACCESS Framework

International Journal of Human-Computer Interaction (2013)

Michael James Heron Vicki L. Hanson Ian W. Ricketts

Equitable access to the digital economy is predicated on the usability of the devices that are used to access electronic goods and services, with computers being the primary mechanism for many users by which this is currently done. For novice users with special interaction requirements, current arrangements for enabling accessibility support are suboptimal. Older users in particular require special consideration with regards to the design of software support packages to ensure the burden of knowledge required to configure a system is reasonable. This article describes the ACCESS Framework, a novel open-source, plug-in enabled software framework designed to address some of the issues around providing accessibility support on the desktop. The framework employs a system through which corrections are successively adapted to an individual user's preferences. Through empirical work with older adults, the framework has been shown to provide an understandable, appropriate, and effective way to enable accessibility support.

10.1080/10447318.2013.768139

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Applying Prediction Techniques to Phoneme-based AAC Systems

North American Chapter of the Association for Computational Linguistics (2012)

Ha Trinh Annalu Waller Keith Vertanen Per Ola Kristensson Vicki L. Hanson

It is well documented that people with severe speech and physical impairments (SSPI) often experience literacy difficulties, which hinder them from effectively using orthographic-based AAC systems for communication. To address this problem, phoneme-based AAC systems have been proposed, which enable users to access a set of spoken phonemes and combine phonemes into speech output. In this paper we investigate how prediction techniques can be applied to improve user performance of such systems. We have developed a phoneme-based prediction system, which supports single phoneme prediction and phoneme-based word prediction using statistical language models generated using a crowdsourced AAC-like corpus. We incorporated our prediction system into a hypothetical 12-key reduced phoneme keyboard. A computational experiment showed that our prediction system led to 56.3% average keystroke savings.

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Age-specific predictive models of human performance

Shari Trewin Bonnie E. John John T. Richards David Sloan Vicki L. Hanson

Designers often struggle to create interfaces that are optimal for both younger and older adults, as they may interact differently with the same interface. Human-performance models have been used to aid designers in evaluating the efficiency of user interfaces. Can we create age-specific models to help designers create interfaces that are efficient for all age groups? We modeled a target acquisition task using published younger and older person parameters. While the younger model's mean prediction matches younger human data well (within 3.2%), the older model overestimates older users' mean task times by 34.6%. Further work should explore the influence of device type and the role of error-avoidance on parameter values for models of older adult interactions with technology.

Interface (matter)

10.1145/2212776.2223787

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Program System for On-Line Process Control

IFAC Proceedings Volumes (1975)

Vicki L. Hanson L. Môtus Ü. Jaaksoo R. Tavast

Line (geometry)

10.1016/s1474-6670(17)67446-9

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Wheels in motion

Craig Stewart Penny Traitor Vicki L. Hanson

The recent resurgence of Roller Derby has seen the game progress to an elite level with leagues becoming increasingly competitive and taking a more structured and athletic approach to training. Leagues that the authors are involved in have expressed a desire for an objective measure of basic skills and a way to monitor improvements in performance especially amongst junior skaters. This paper details the construction of an inertia-sensing platform designed to be safe to wear by skaters. We have identified a skating manoeuvre, the "crossover" that can be automatically detected using a simple filtering and thresholding procedure. We also report on some initial results in automatically detecting when a crossover occurs and provide details of our future work.

Elite

10.1145/2508468.2514730

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Session details: Older adults

Vicki L. Hanson

No abstract available.

10.1145/3260782

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A Pictorial Interviewing Method Designed to Effectively Include the Voice of Residents of Care Homes for Older Adults

Marianne Dee Vicki L. Hanson

Interview

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COMPUTING TECHNOLOGIES FOR DEAF AND HARD OF HEARING USERS

Human computer interaction. (2009)

Vicki L. Hanson

In addition, the way in which an individual having a hearing loss interacts with their environment may also be influenced by societal factors. Whether individuals identify themselves as Deaf (with an uppercase "D" as a member of the Deaf Community), deaf, or hard of hearing is indicative of cultural identity (Lane, 1992; Padden & Humphries, 1988, 2005).1 Membership in the Deaf Community is determined more by shared language and worldviews rather than by results of audiometric tests. For example, people may lose their hearing with age. These people, while deaf by the audiometric definition, would not share the culture of the Deaf Community.

10.1201/9781420088885-14

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Citations (14)