Benjamin R. Cowan

University College Dublin

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Co-Authors

Leigh Clark

Insight Healthcare

Philip Doyle

IBM Research - Ireland

Justin Edwards

University of Oulu

Cosmin Munteanu

University of Waterloo

Vincent Wade

Trinity College Dublin

Martin Porcheron

Insight Healthcare

Emer Gilmartin

Trinity College Dublin

Diego Garaialde

University College Dublin

Daniel Rough

University of Dundee

Holly P. Branigan

University of Edinburgh

Cooperative Institutions

University College Dublin

Trinity College Dublin

SLAC National Accelerator Laboratory

Lawrence Berkeley National Laboratory

Fermi National Accelerator Laboratory

University of Edinburgh

Tech-X Corporation (United States)

KTH Royal Institute of Technology

University College London

Argonne National Laboratory

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High Harmonic Inverse Free-Electron-Laser Interaction at 800nm

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2005)

Christopher Sears E. Colby Benjamin R. Cowan R. Siemann James Spencer

Harmonic

Harmonic Analysis

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Citations (0)

Walk1916: Exploring how a mobile walking tour app can provide value for LAMs

Proceedings of the Association for Information Science and Technology (2016)

Amber L. Cushing Benjamin R. Cowan

ABSTRACT In this paper, we describe preliminary findings of semi‐structured interviews with eight testers of the Walk1916 mobile walking tour of the Easter Rising in Dublin, Ireland. While some LAMs have begun to integrate mobile technology into their suite of tools to enhance the cultural heritage experience, most studies align the value of these tools with existing institutional measures of impact. Understanding the ways in which users value a mobile app that integrates digital collections with a walking tour allows LAMs to develop best practices for use of such tools associated with the cultural heritage experiences, as well as ways to assess such tools. Preliminary findings suggest that geo‐location and the ability to compare between archival image and modern day add significant value to the users' cultural heritage experiences.

Mobile apps

Value (mathematics)

10.1002/pra2.2016.14505301147

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Citations (3)

The impact of traditional and interactive post-editing on Machine Translation User Experience, quality, and productivity

Translation Cognition & Behavior (2023)

Vicent Brivá-Iglesias Sharon O’Brien Benjamin R. Cowan

Abstract This paper presents a user study with 15 professional translators in the English-Spanish combination. We present the concept of Machine Translation User Experience (MTUX) and compare the effects of traditional post-editing (TPE) and interactive post-editing (IPE) on MTUX, translation quality and productivity. Results suggest that translators prefer IPE to TPE because they are in control of the interaction in this new form of translator-computer interaction and feel more empowered in their interaction with Machine Translation. Productivity results also suggest that IPE may be an interesting alternative to TPE, given the fact that translators worked faster in IPE even though they had no experience in this new machine translation post-editing modality, but were already used to TPE.

10.1075/tcb.00077.bri

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Citations (7)

Constructing a corpus of online meetings

Routledge eBooks (2024)

Dawn Knight Anne O’Keeffe Christopher Fitzgerald Justin McNamara Geraldine Mark

Corpus Linguistics

10.4324/9781003381204-4

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Quantifying the Impact of Making and Breaking Interface Habits

arXiv (Cornell University) (2020)

Diego Garaialde Chris Bowers C.N. Pinder Priyal Shah Shashwat Parashar

The frequency with which people interact with technology means that users may develop interface habits, i.e. fast, automatic responses to stable interface cues. Design guidelines often assume that interface habits are beneficial. However, we lack quantitative evidence of how the development of habits actually affect user performance and an understanding of how changes in the interface design may affect habit development. Our work quantifies the effect of habit formation and disruption on user performance in interaction. Through a forced choice lab study task (n=19) and in the wild deployment (n=18) of a notificationdialog experiment on smartphones, we show that people become more accurate and faster at option selection as they develop an interface habit. Crucially this performance gain is entirely eliminated once the habit is disrupted. We discuss reasons for this performance shift and analyse some disadvantages of interface habits, outlining general design patterns on how to both support and disrupt them.Keywords: Interface habits, user behaviour, breaking habit, interaction science, quantitative research.

Habit

Interface (matter)

Affect

Interface design

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Corpus Linguistics for Virtual Workplace Discourse

Dawn Knight Anne O’Keeffe Christopher Fitzgerald Justin McNamara Geraldine Mark

Corpus Linguistics for Virtual Workplace Discourse provides a thorough and practical step-by-step guide to constructing and analysing a multi-modal corpus of virtual meetings. It draws from original data from video recordings of virtual meetings with a variety of participant profiles from various industries, alongside examples of images and transcriptions from this data to illustrate key points. This cutting-edge volume contextualises the field through previous corpus studies of interaction in a workplace context, as well as a description of various technology mediated interactions, culminating in video-mediated interaction, before outlining the cross-section of these two areas in describing the characteristics of virtual meetings. An overview of multi-modal corpus analysis provides examples and analysis of virtual meetings from a multi-modal perspective, demonstrating what is unique about virtual workplace discourse. The text concludes by presenting how multi-modal corpus analysis can aid understanding and delivery of virtual meetings through suggestions regarding meeting management. At various stages throughout the book, readers will engage with tasks that promote critical thinking at each phase of background research and data analysis. This will ensure that practical learning outcomes are achieved as well as broad insights gained into multi-modal corpus analysis of virtual meetings. This timely, prescient text is essential reading to students and researchers in corpus linguistics and any applied linguistics scholar interested in workplace communication, as well as valuable reading for any students or scholars in business communication.

Corpus Linguistics

Media linguistics

10.4324/9781003381204

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Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking.

arXiv (Cornell University) (2021)

Mayank Soni Benjamin R. Cowan Vincent Wade

Neural language modelling has progressed the state-of-the-art in different downstream Natural Language Processing (NLP) tasks. One such area is of open-domain dialog modelling, neural dialog models based on GPT-2 such as DialoGPT have shown promising performance in single-turn conversation. However, such (neural) dialog models have been criticized for generating responses which although may have relevance to the previous human response, tend to quickly dissipate human interest and descend into trivial conversation. One reason for such performance is the lack of explicit conversation strategy being employed in human-machine conversation. Humans employ a range of conversation strategies while engaging in a conversation, one such key social strategies is Self-disclosure(SD). A phenomenon of revealing information about one-self to others. Social penetration theory (SPT) proposes that communication between two people moves from shallow to deeper levels as the relationship progresses primarily through self-disclosure. Disclosure helps in creating rapport among the participants engaged in a conversation. In this paper, Self-disclosure enhancement architecture (SDEA) is introduced utilizing Self-disclosure Topic Model (SDTM) during inference stage of a neural dialog model to re-rank response candidates to enhance self-disclosure in single-turn responses from from the model.

Relevance

Dialog system

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Citations (3)

Quantifying the Impact of Making and Breaking Interface Habits

arXiv (Cornell University) (2020)

Diego Garaialde Chris Bowers C.N. Pinder Priyal Shah Shashwat Parashar

Habit

Interface (matter)

Affect

Interface design

10.48550/arxiv.2005.06842

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Citations (0)

Finally a Case for Collaborative VR?

Anna Bleakley Vincent Wade Benjamin R. Cowan

Amid current social distancing measures requiring people to work from home, there has been renewed interest on how to effectively converse and collaborate remotely utilizing currently available technologies. On the surface, VR provides a perfect platform for effective remote communication. It can transfer contextual and environmental cues and facilitate a shared perspective while also allowing people to be virtually co-located. Yet we argue that currently VR is not adequately designed for such a communicative purpose. In this paper, we outline three key barriers to using VR for conversational activity: (1) variability of social immersion, (2) unclear user roles, and (3) the need for effective shared visual reference. Based on this outline, key design topics are discussed through a user experience design perspective for considerations in a future collaborative design framework.

Converse

Immersion

Computer-supported cooperative work

10.1145/3405755.3406144

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Citations (8)

Time use, college attainment, and the working-from-home revolution

Journal of Population Economics (2024)

Benjamin R. Cowan

Fell

Educational Attainment

Pandemic

10.1007/s00148-024-01036-5

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Citations (1)