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Robin L. Hill

dblp:00/6721 · DBLP profile ↗
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8ranked-venue papers
1as first author
2since 2021 · last 2022
0000-0002-2624-1182ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 2 since 2021Human-computer interaction and ubiquitous computing · 4 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
3 papers
Usability and user experience research · 51% Accessibility and assistive technology · 27% Human-AI interaction · 17%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Usability and user experience research › individual differences
age differences
0.112011
Older web users' eye movements: experience counts · CHI 2011
Accessibility and assistive technology
older adults
0.122011
Approaches to web search and navigation for older computer novices · CHI 2007
Older web users' eye movements: experience counts · CHI 2011
Human-AI interaction › generative AI
natural language generation
0.112008
The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue · HRI 2008
Human-robot interaction › robot communication
multimodal dialogue
0.012008
The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue · HRI 2008
Accessibility and assistive technology
inclusive design
0.012007
Approaches to web search and navigation for older computer novices · CHI 2007

Methods — techniques the papers use, named apart from their topics

user study · 0.1eye tracking · 0.1multimodal referring expression generation · 0.1user-sensitive inclusive design · 0.1proof-of-concept · 0.1
YearPublicationVenuePosition
2022 Start Making Sense: Identifying Behavioural Indicators When Things Go Wrong During Interaction with Artificial Agents
Sara Dalzel-Job, Robin L. Hill, Ronald P. A. Petrick
PRIMA2
2021 Backtranslation Feedback Improves User Confidence in MT, Not Quality
abstract
Vilém Zouhar, Michal Novák, Matúš Žilinec, Ondřej Bojar, Mateo Obregón, Robin L. Hill, Frédéric Blain, Marina Fomicheva, Lucia Specia, Lisa Yankovskaya. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
Vilém Zouhar, Michal Novák 0001, Matús Zilinec, Ondrej Bojar, Mateo Obregón, Robin L. Hill, Frédéric Blain, Marina Fomicheva, Lucia Specia, Lisa Yankovskaya
NAACL-HLT6
2014 CASMACAT: A Computer-assisted Translation Workbench
abstract
CASMACAT is a modular, web-based translation workbench that offers advanced functionalities for computer-aided translation and the scientific study of human translation: automatic interaction with machine translation (MT) engines and translation memories (TM) to obtain raw translations or close TM matchesn for conventional post-editing; interactive translation prediction based on an MT engine’s search graph, detailed recording and replay of edit actions and translator’s gaze (the latter via eye-tracking), and the support of e-pen as an alternative input device. The system is open source sofware and interfaces with multiple MT systems.
Vicente Alabau, Christian Buck, Michael Carl, Francisco Casacuberta, Mercedes García-Martínez, Ulrich Germann, Jesús González-Rubio, Robin L. Hill, Philipp Koehn, Luis A. Leiva, Bartolomé Mesa-Lao, Daniel Ortiz-Martínez, Herve Saint-Amand, Germán Sanchis-Trilles, Chara Tsoukala
EACL8
2014 Interactive translation prediction versus conventional post-editing in practice: a study with the CasMaCat workbench
Germán Sanchis-Trilles, Vicente Alabau, Christian Buck, Michael Carl, Francisco Casacuberta, Mercedes García-Martínez, Ulrich Germann, Jesús González-Rubio, Robin L. Hill, Philipp Koehn, Luis A. Leiva, Bartolomé Mesa-Lao, Daniel Ortiz-Martínez, Herve Saint-Amand, Chara Tsoukala, Enrique Vidal 0001
Mach. Transl.9
2011 Older web users' eye movements: experience counts
abstract
Eye-tracking is a valuable tool for usability research. Studies into the effect of age on eye-movement behavior tend to indicate a propensity for slower viewing and longer times spent examining information. This pattern is usually attributed to the general physiological and cognitive slow-down associated with normal aging. In this paper, however, across three different tasks based on computer and internet use (free-viewing, visual search, and browser interaction), we show that among older adults (n=18, age range: 70-93) computer experience appears to be a highly important factor in eye-movement behavior. We argue that as a consequence of the experimental environment used in modern eye-tracking studies, characteristics such as familiarity and experience with computers should be taken into account before conclusions are drawn about the raw effects of age.
Robin L. Hill, Anna Dickinson, John L. Arnott, Peter Gregor, Louise McIver
CHI1
2008 The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue
abstract
Generating referring expressions is a task that has received a great deal of attention in the natural-language generation community, with an increasing amount of recent effort targeted at the generation of multimodal referring expressions. However, most implemented systems tend to assume very little shared knowledge between the speaker and the hearer, and therefore must generate fully-elaborated linguistic references. Some systems do include a representation of the physical context or the dialogue context; however, other sources of contextual information are not normally used. Also, the generated references normally consist only of language and, possibly, deictic pointing gestures.
Mary Ellen Foster, Ellen Gurman Bard, Markus Guhe, Robin L. Hill, Jon Oberlander, Alois C. Knoll
HRI4
2007 Approaches to web search and navigation for older computer novices
abstract
A proof of concept web search and navigation system was developed for older people for whom the Internet is seen as an alien territory. A joint industry/academia team deployed User Sensitive Inclusive Design principles, focusing on the usability of the interface for this user group. The search and navigation system that was developed was significantly preferred by the user group to that provided by a standard commercial (Internet Service Provider) system; it scored highly for ease of use and the participants reported increased confidence in their ability to master the Internet. Recorded quantitative measures showed fewer task errors. The outcome of the development was a successful "proof of concept" search and navigation system for older novice computer users together with approaches to design and development for those who wish to design for this user group.
Anna Dickinson, Michael J. Smith 0003, John L. Arnott, Alan F. Newell, Robin L. Hill
CHI5
2005 Introducing the Internet to the over-60s: Developing an email system for older novice computer users
abstract
Contemporary technology offers many benefits to older people, but these are often rendered inaccessible through poor software design. As the Internet increasingly becomes a source of information and services it is vital to ensure that older people can access these resources. As part of project funded by the UK government, a multi-disciplinary team set out to develop usable software that would help to introduce older people to the Internet. The first step was to develop an email system for older people with no experience of Internet use. The project was intended to show that it is possible to design usable technology for this group and to explore some of the issues involved in doing so. Design and technical challenges necessitated various tradeoffs. The system produced demonstrated the success of the design decisions: it was significantly easier to use than, and preferred to, a commercial equivalent by a group of older people with no experience of Internet use. © 2005 Elsevier B.V. All rights reserved.
Anna Dickinson, Alan F. Newell, Michael J. Smith 0003, Robin L. Hill
Interact. Comput.4