Music interaction research in HCI

The ubiquity of music consumption is overarching. Statistics for digital music sales, streaming video videos, computer games, and illegal sharing all speak of a huge interest. At the same, an incredible amount of data about every day interactions (sales and use) with music is accumulating through new cloud services. However, there is an amazing lack of public knowledge about everyday music interaction. This panel discusses the state of music interaction as a part of digital media research. We consider why music interaction research has become so marginal in HCI and discuss how to revive it. Our two discussion themes are: orientation towards design vs. research in music related R&D, and the question if and how private, big data on music interactions could enlighten our understanding of ubiquitous media culture

NASA Wallops Flight Facility Air-Sea Interaction Research Facility

This publication serves as an introduction to the Air-Sea Interaction Research Facility at NASA/GSFC/Wallops Flight Facility. The purpose of this publication is to provide background information on the research facility itself, including capabilities, available instrumentation, the types of experiments already done, ongoing experiments, and future plans

Two traditions of interaction research

Peer reviewe

From introspections, brain scans, and memory tests to the role of social context:advancing research on interaction and learning

The goal of this epilogue is to use the methodological contributions of the studies presented in this special issue as a starting point for suggestions about methodology in conducting future interaction research. As is the case in most developing fields, interaction research develops methods internally as it continually borrows and extends techniques used in other disciplines and revitalizes older techniques by adding new or different angles unique to interaction. Interaction researchers have also begun to forge relationships in new areas (e.g., by working with psychologists and developing working memory [WM] tests). This sort of cooperation is an important step in the drive to uncover more information about the relationship between interaction and learning. As several contributors to this special issue have noted, the most recent advances in methodology have been driven by questions about how interaction works (as opposed to whether it works). In turn, some of the methodological innovations discussed here will also ultimately allow new questions to be asked. Indeed, the relationship between questions (i.e., suggestions about what needs to be investigated next) and methods (i.e., plans for how to carry out such investigations) is particularly close in interaction research, which is a relatively new but vibrant and quickly developing area. Consequently, this epilogue considers both methods and questions conjointly, beginning with a discussion of methodological issues in the most recent theorizing about the interaction hypothesis

Improving human interaction research through ecological grounding

In psychology, we tend to follow the general logic of falsificationism: we separate the ‘context of discovery’ (how we come up with theories) from the ‘context of justification’ (how we test them). However, when studying human interaction, separating these contexts can lead to theories with low ecological validity that do not generalize well to life outside the lab. We propose borrowing research procedures from well-established inductive methodologies in interaction research during the process of discovering new regularities and analyzing natural data without being led by theory. We introduce research procedures including the use of naturalistic study settings, analytic transcription, collections of cases, and data analysis sessions, and illustrate these with examples from a successful cross-disciplinary study. We argue that if these procedures are used systematically and transparently throughout a research cycle, they will lead to more robust and ecologically valid theories about interaction within psychology and, with some adaptation, can enhance the reproducibility of research across many other areas of psychological science

CB2: Collaborative Natural Language Interaction Research Platform

CB2 is a multi-agent platform to study collaborative natural language interaction in a grounded task-oriented scenario. It includes a 3D game environment, a backend server designed to serve trained models to human agents, and various tools and processes to enable scalable studies. We deploy CB2 at https://cb2.ai as a system demonstration with a learned instruction following model

RobotAssist - A platform for human robot interaction research

This paper presents RobotAssist, a robotic platform designed for use in human robot interaction research and for entry into Robocup@Home competition. The core autonomy of the system is implemented as a component based software framework that allows for integration of operating system independent components, is designed to be expandable and integrates several layers of reasoning. The approaches taken to develop the core capabilities of the platform are described, namely: path planning in a social context, Simultaneous Localisation and Mapping (SLAM), human cue sensing and perception, manipulatable object detection and manipulation

Breaking fresh ground in human–media interaction research

Human-Media Interaction research is devoted to methods and situations where humans individually or collectively interact with digital media, systems, devices and environments. Novel forms of interaction paradigms have been enabled by new sensor and actuator technology in the last decades, combining with advances in our knowledge of human-human interaction and human behavior in general when designing user interfaces

Gas-surface interaction research Final report

Numerical calculations of gas-surface interactions using large computer progra