1,122,901 research outputs found
Mechanisms of Common Ground in Human-Agent Interaction: A Systematic Review of Conversational Agent Research
Human-agent interaction is increasingly influencing our personal and work lives through the proliferation of conversational agents in various domains. As such, these agents combine intuitive natural language interactions by also delivering personalization through artificial intelligence capabilities. However, research on CAs as well as practical failures indicate that CA interaction oftentimes fails miserably. To reduce these failures, this paper introduces the concept of building common ground for more successful human-agent interactions. Based on a systematic review our analysis reveals five mechanisms for achieving common ground: (1) Embodiment, (2) Social Features, (3) Joint Action, (4) Knowledge Base, and (5) Mental Model of Conversational Agents. On this basis, we offer insights into grounding mechanisms and highlight the potentials when considering common ground in different human-agent interaction processes. Consequently, we secure further understanding and deeper insights of possible mechanisms of common ground in human-agent interaction in the future
Guidelines to bridge the gap between adaptive thermal comfort theory and building design and operation practice
Adaptive thermal comfort guidelines have been developed within the work of Annex 69: âStrategy and practice of adaptive thermal comfort in low energy buildingsâ. The guidelines have been established based on a framework for adopting adaptive thermal comfort principles in building design and operation developed by the authors. The guidelines target building practitioners, addressing the critical interrelated role building planners, building operators and occupants play. A successful adaptive thermal comfort design, in which design for human thermal adaptation is foreseen, planned, and carefully embedded in the design and operation intent, is based on broad knowledge and understanding of the multiple quantifiable and non-quantifiable factors influencing human perception, as well as human building interaction. Adaptive building design follows a user-centric integrated design approach and therefore it is critical to consider the occupantsâ and the operatorsâ role in buildings already in the design phase. This paper focuses on three main challenges identified earlier and how these are addressed in the guidelines, i.e. i) updating prevailing knowledge about human thermophysiology and adaptation, ii) developing a procedure for design of adaptive opportunities, and iii) providing guidance for operational planning and operation of adaptive buildings. The challenge for future research remains to assess the magnitude of how specific design decisions affect particular adaptive mechanisms
Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems
As robotic systems are moved out of factory work cells into human-facing
environments questions of choreography become central to their design,
placement, and application. With a human viewer or counterpart present, a
system will automatically be interpreted within context, style of movement, and
form factor by human beings as animate elements of their environment. The
interpretation by this human counterpart is critical to the success of the
system's integration: knobs on the system need to make sense to a human
counterpart; an artificial agent should have a way of notifying a human
counterpart of a change in system state, possibly through motion profiles; and
the motion of a human counterpart may have important contextual clues for task
completion. Thus, professional choreographers, dance practitioners, and
movement analysts are critical to research in robotics. They have design
methods for movement that align with human audience perception, can identify
simplified features of movement for human-robot interaction goals, and have
detailed knowledge of the capacity of human movement. This article provides
approaches employed by one research lab, specific impacts on technical and
artistic projects within, and principles that may guide future such work. The
background section reports on choreography, somatic perspectives,
improvisation, the Laban/Bartenieff Movement System, and robotics. From this
context methods including embodied exercises, writing prompts, and community
building activities have been developed to facilitate interdisciplinary
research. The results of this work is presented as an overview of a smattering
of projects in areas like high-level motion planning, software development for
rapid prototyping of movement, artistic output, and user studies that help
understand how people interpret movement. Finally, guiding principles for other
groups to adopt are posited.Comment: Under review at MDPI Arts Special Issue "The Machine as Artist (for
the 21st Century)"
http://www.mdpi.com/journal/arts/special_issues/Machine_Artis
Trust Management in the Internet of Everything
Digitalization is leading us towards a future where people, processes, data
and things are not only interacting with each other, but might start forming
societies on their own. In these dynamic systems enhanced by artificial
intelligence, trust management on the level of human-to-machine as well as
machine-to-machine interaction becomes an essential ingredient in supervising
safe and secure progress of our digitalized future. This tutorial paper
discusses the essential elements of trust management in complex digital
ecosystems, guiding the reader through the definitions and core concepts of
trust management. Furthermore, it explains how trust-building can be leveraged
to support people in safe interaction with other (possibly autonomous) digital
agents, as trust governance may allow the ecosystem to trigger an auto-immune
response towards untrusted digital agents, protecting human safety.Comment: Proceedings of the 16th European Conference on Software
Architecture-Companion Volum
Adaptive Architecture:Regulating human building interaction
In this paper, we explore the regulatory, technical and interactional implications of Adaptive Architecture (AA) and how it will recalibrate the nature of human-building interaction. We comprehensively unpack the emergence and history of this novel concept, reflecting on the current state of the art and policy foundations supporting it. As AA is underpinned by the Internet of Things (IoT), we consider how regulatory and surveillance issues posed by the IoT are manifesting in the built environment. In our analysis, we utilise a prominent architectural model, Stuart Brandâs Shearing Layers, to understand temporal change and informational flows across different physical layers of a building. We use three AA applications to situate our analysis, namely a smart IoT security camera; an AA research prototype; and an AA commercial deployment. Focusing on emerging information privacy and security regulations, particularly the EU General Data Protection Regulation 2016, we examine AA from 5 perspectives: physical & information security risks; challenges of establishing responsibility; enabling occupant rights over flows, collection, use & control of personal data; addressing increased visibility of emotions and bodies; understanding surveillance of everyday routine activities. We conclude with key challenges for AA regulation and the future of humanâbuilding interaction
Challenges in imaging and predictive modeling of rhizosphere processes
Background Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions. Scope In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding. Conclusions We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes
A DigitalCAT: A Fusion of Creativity Assessment Theory and HCI
As a âgold standardâ creativity assessment method, it is important to reflect on the digital future of Amabileâs Consensual Assessment Technique (CAT). Over the past three decades, the CAT has given creativity researchers a formal tool on which to build a true science out of the subjective phenomenon of creativity in a vast range of domains. Research practice, however, has relied on primitive paper-based tools or only rudimentary digital technology. As a result, it is high time a more sophisticated, standardized research tool is developed to greatly facilitate future creativity research and assessment - a DigitalCAT - building on expertise from the design research, psychology and human-computer interaction (HCI) disciplines
Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research
With the growing popularity of Autonomous Vehicles, more opportunities have bloomed in the context of Human-Vehicle Interactions. However, the lack of comprehensive and concrete database support for such specific use case limits relevant studies in the whole design spaces. In this paper, we present our work-in-progress BROOK, a public multi-modal database with facial video records, which could be used to characterise drivers' affective states and driving styles. We first explain how we over-engineer such database in details, and what we have gained through a ten-month study. Then we showcase a Neural Network-based predictor, leveraging BROOK, which supports multi-modal prediction (including physiological data of heart rate and skin conductance and driving status data of speed) through facial videos. Finally we discuss related issues when building such a database and our future directions in the context of BROOK. We believe BROOK is an essential building block for future Human-Vehicle Interaction Research. More details and updates about the project BROOK is online at https: //unnc-idl-ucc.github.io/BROOK/
Face2Multi-modal: in-vehicle multi-modal predictors via facial expressions
Towards intelligent Human-Vehicle Interaction systems and innovative Human-Vehicle Interaction designs, in-vehicle drivers' physiological data has been explored as an essential data source. However, equipping multiple biosensors is considered the limited extent of user-friendliness and impractical during the driving procedure. The lack of a proper approach to access physiological data has hindered wider applications of advanced biosignal-driven designs in practice (e.g. monitoring systems and etc.). Hence, the demand for a user-friendly approach to measuring drivers' body statuses has become more intense. In this Work-In-Progress, we present Face2Multi-modal, an In-vehicle multi-modal Data Streams Predictors through facial expressions only. More specifically, we have explored the estimations of Heart Rate, Skin Conductance, and Vehicle Speed of the drivers. We believe Face2Multi-modal provides a user-friendly alternative to acquiring drivers' physiological status and vehicle status, which could serve as the building block for many current or future personalized Human-Vehicle Interaction designs. More details and updates about the project Face2Multi-modal is online at https://github.com/unnc-ucc/Face2Multimodal/
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