The task of reviewer recommendation is increasingly important, with main techniques utilizing general models of text relevance. However, state of the art (SotA) systems still have relatively high error rates. Two possible reasons for this are: a lack of large datasets and the fact that large language models (LLMs) have not yet been applied. To fill these gaps, we first create a substantial new dataset, in the domain of Internet specification documents; then we introduce the use of LLMs and evaluate their performance. We find that LLMs with prompting can improve on SotA in some cases, but that they are not a cure-all: this task provides a challenging setting for prompt-based methods

Working from vague client instructions, how do audio producers collaborate to diagnose what specifically is wrong with a piece of music, where the problem is and what to do about it? This paper presents a design ethnography that uncovers some of the ways in which two music producers co-ordinate their understanding of complex representations of pieces of music while working together in a studio. Our analysis shows that audio producers constantly make judgements based on audio and visual evidence while working with complex digital tools, which can lead to ambiguity in assessments of issues. We show how multimodal conduct guides the process of work and that complex media objects are integrated as elements of interaction by the music producers. The findings provide an understanding how people currently collaborate when producing audio, to support the design of better tools and systems for collaborative audio production in the future.

Social interaction is the most complex challenge in daily life. Inevitably, social robots will encounter interactions that are outside their competence. This raises a basic design question: how can robots fail gracefully in social interaction? The characteristic human response to social failure is embarrassment. Usefully, embarrassment signals both recognition of a problem and typically enlists sympathy and assistance to resolve it. This could enhance robot acceptability and provides an opportunity for interactive learning. Using a speculative design approach we explore how, when and why robots might communicate embarrassment. A series of specially developed cultural probes, scenario development and low-fidelity prototyping exercises suggest that: embarrassment is relevant for managing a diverse range of social scenarios, impacts on both humanoid and non-humanoid robot design, and highlights the critical importance of understanding interactional context. We conclude that embarrassment is fundamental to competent social functioning and provides a potentially fertile area for interaction design.

Protocol standards, defined by the Internet Engineering Task Force (IETF), are crucial to the successful operation of the Internet. This paper presents a large-scale empirical study of IETF activities, with a focus on understanding collaborative activities, and how these underpin the publication of standards documents (RFCs). Using a unique dataset of 2.4 million emails, 8,711 RFCs and 4,512 authors, we examine the shifts and trends within the standards development process, showing how protocol complexity and time to produce standards has increased. With these observations in mind, we develop statistical models to understand the factors that lead to successful uptake and deployment of protocols, deriving insights to improve the standardisation process.

This work revisits the task of detecting decision-related utterances in multi-party dialogue.We explore performance of a traditional approach and a deep learning-based approach based on transformer language models, with the latter providing modest improvements.We then analyze topic bias in the models using topic information obtained by manual annotation.Our finding is that when detecting some types of decisions in our data, models rely more on topic specific words that decisions are about rather than on words that more generally indicate decision making.We further explore this by removing topic information from the train data.We show that this resolves the bias issues to an extent and, surprisingly, sometimes even boosts performance.

This paper presents an observational study of collaborative spatial music composition. We uncover the practical methods two experienced music producers use to coordinate their understanding of multi-modal and spatial representations of music as part of their workflow. We show embodied spatial referencing as a significant feature of the music producers' interactions. Our analysis suggests that gesture is used to understand, communicate and form action through a process of shaping sounds in space. This metaphor highlights how aesthetic assessments are collaboratively produced and developed through coordinated spatial activity. Our implications establish sensitivity to embodied action in the development of collaborative workspaces for creative, spatial-media production of music.

Participatory performance provides methods for exploring social identities and situations in ways that can help people to imagine new ways of being. Digital technologies provide tools that can help people envision these possibilities. We explore this combination through a performance workshop process designed to help stroke survivors imagine new physical and social possibilities by enacting fantasies of "things they always wanted to do". This process uses performance methods combined with specially designed real-time movement visualisations to progressively build fantasy narratives that are enacted with and for other workshop participants. Qualitative evaluations suggest this process successfully stimulates participant's embodied imagination and generates a diverse range of fantasies. The interactive and communal aspects of the workshop process appear to be especially important in achieving these effects. This work highlights how the combination of performance methods and interactive tools can bring a rich, prospective and political understanding of people's lived experience to design.

Body posture is a good indicator of, amongst other things, people's state of arousal, focus of attention and level of interest in a conversation. Posture is conventionally measured by observation and hand coding of videos or, more recently, through automated computer vision and motion capture techniques. Here we introduce a novel alternative approach exploiting a new modality: posture classification using bespoke 'smart' trousers with integrated textile pressure sensors. Changes in posture translate to changes in pressure patterns across the surface of our clothing. We describe the construction of the textile pressure sensor and, using simple machine learning techniques on data gathered from 10 participants, demonstrate its ability to discriminate between 19 different basic posture types with high accuracy. This technology has the potential to support anonymous, unintrusive sensing of interest, attention and engagement in a wide variety of settings.

Immersive virtual environments (IVEs) present rich possibilities for the experimental study of non-verbal communication. Here, the 'digital chameleon' effect, -which suggests that a virtual speaker (agent) is more persuasive if they mimic their addresses head movements-, was tested. Using a specially constructed IVE, we recreate a full-body analogue version of the 'digital chameleon' experiment. The agent's behaviour is manipulated in three conditions 1) Mimic (Chameleon) in which it copies the participant's nodding 2) Playback (Nodding Dog) which uses nods from playback of a previous participant and are therefore unconnected with the content and 3) Original (Human) in which it uses the prerecorded actor's movements. The results do not support the original finding of differences in ratings of agent persuasiveness between conditions. However, motion capture data reveals systematic differences in a) the real-time movements of speakers and listeners b) between the Original, Mimic and Playback conditions. We conclude that the automatic mimicry model is too simplistic and that this paradigm must address the reciprocal dynamics of non-verbal interaction to achieve its full potential.

Street performers use carefully designed interactions to: create their performance space, build their audience, and elicit payment. Two of the key transformations a performer must achieve are (1) to transform a public space into a distinctive performance place that passers-by acknowledge as such; and (2) to turn a crowd of passers-by into an audience. In this ethnographic study of street shows we analyse the specific practicalities of creating a performance place within a public space. We propose that performers design their actions in ways that help passers-by and audience members identify them as part of a performance. We investigate how passers-by display their recognition that a performance is being created, becoming watchers before being audience members. We explore various techniques performers use for place-construction and demonstrate that in each case, while objects themselves may be important in attracting initial attention, it is only through interaction that they are successful in actual building of a performance place.

This paper describes how a project to challenge digital exclusion resulted in GeezerPower: an artwork that is both a statement about reusable technologies and about older people's continuing interest in the world of the future. We use the story of its production to illustrate and reflect on new methods for engaging people in decisions about the design of technology. And we explore how creative practice informed the design of an intervention workshop inspired by performance art and an exhibition of artists collaborating with older people. We conclude with some comments on marginalization, engagement and envisioning futures.

Group creativity is a fundamental form of human activity. In this paper we explore what constitutes mutually engaging interaction between people _ interaction in which creative sparks fly and we lose ourselves in the joint action. In this paper we present the results of an experiment to compare the effect representation of identity in a user interface, and task instruction, has on mutual engagement between remote participants. Surprisingly the results indicate that providing no cues to identity increased mutual engagement between participants. We also discuss the appropriateness of quantitative, qualitative, and self-report data for identifying points of mutual engagement.

Graphical dialogue - the collaborative construction and modification of drawings - forms an integrated part of many human interactions e.g., the construction of sketch maps, architectural designs or explanatory diagrams. Empirical studies have shown significant parallels between the basic mechanisms that underpin verbal and graphical dialogue. These parallels point to the operation of generic mechanisms of interaction that integrate events in different modalities into composite communicative signals. This provides a useful perspective on the design of technologically mediated interactions and suggests there is potential for developing richer forms of human interaction

Article Free Access Share on Locating the scene: the particular and the general in contexts for ambulance control Authors: John C. McCarthy Department of Applied Psychology, University College Cork, Cork, Ireland Department of Applied Psychology, University College Cork, Cork, IrelandView Profile , Peter C. Wright Department of Computer Science, University Of York, York YO1 5DD, England Department of Computer Science, University Of York, York YO1 5DD, EnglandView Profile , Patrick Healey Department of Applied Psychology, University College Cork, Cork, Ireland Department of Applied Psychology, University College Cork, Cork, IrelandView Profile , Andrew Dearden Department of Computer Science, University Of York, York YO1 5DD, England Department of Computer Science, University Of York, York YO1 5DD, EnglandView Profile , Michael D. Harrison Department of Computer Science, University Of York, York YO1 5DD, England Department of Computer Science, University Of York, York YO1 5DD, EnglandView Profile Authors Info & Claims GROUP '97: Proceedings of the 1997 ACM International Conference on Supporting Group WorkNovember 1997 Pages 101–110https://doi.org/10.1145/266838.266874Published:16 November 1997Publication History 12citation505DownloadsMetricsTotal Citations12Total Downloads505Last 12 Months14Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF