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A New Approach to Implicit Human-Robot Interaction Using Affective Cues [chapter]

Pramila Rani, Nilanjan Sarkar
2006 Mobile Robots: towards New Applications  
It is well known that in social interactions, implicit communication between the communicators plays a significant role.  ...  The results from affect-elicitation tasks for human participants showed that it is possible to detect anxiety through physiological sensing in real-time.  ...  Theoretical Framework for Human-Robot Interaction Based on Affective Communication A.  ... 
doi:10.5772/4693 fatcat:jkjtonv7bbe2hpchfanzllhd7u

Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing

Javier Marín-Morales, Carmen Llinares, Jaime Guixeres, Mariano Alcañiz
2020 Sensors  
Moreover, its synergy with implicit measurements and machine-learning techniques has the potential to impact transversely in many research areas, opening new opportunities for the scientific community.  ...  Emotions play a critical role in our daily lives, so the understanding and recognition of emotional responses is crucial for human research.  ...  new opportunities for the scientific community.  ... 
doi:10.3390/s20185163 pmid:32927722 fatcat:4n6p6r3qqbf6bgjwinzdkkggje

When Agents Become Partners: A Review of the Role the Implicit Plays in the Interaction with Artificial Social Agents

Sanobar Dar, Ulysses Bernardet
2020 Multimodal Technologies and Interaction  
The active entrainment concept behind the relaxation system is generic and can be applied to other human agent interaction domains of implicit physiology-based interaction.  ...  We argue that simultaneously using verbal, nonverbal, explicit, implicit, intentional, and unintentional communication channels addresses these three aspects of the interaction process.  ...  and analysed for affective cues which were inferred by a robot in real time.  ... 
doi:10.3390/mti4040081 fatcat:4sphk7bwzzgxdjisjsfcjn4lym

Gaze-based Anxiety Sensitive Virtual Social Communication Platform for Individuals with Autism

Pradeep Raj Krishnappa Babu, Uttama Lahiri
2022 CHI Conference on Human Factors in Computing Systems Extended Abstracts  
Reality (VR)-based anxiety-sensitive social communication task platform.  ...  CCS CONCEPTS • Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI; Human computer interaction (HCI); Interaction paradigms; Virtual reality.  ...  This emphasizes the need of incorporating implicit modalities for sensing one's affective (anxiety) state in a VR-based setting [17] .  ... 
doi:10.1145/3491101.3519855 fatcat:saidm6ng2zbkvnrpkvll5gzzzu

A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

Welch, Harnett, Lee
2019 Safety  
However, in complex humanmachine work environments, many sensors will not work due to compatibility issues, noise, or practical constraints.  ...  The need for intuitive machines that can interpret intentional and unintentional signals is imperative for our modern world.  ...  Additionally, human-machine interaction (HMI) that relies solely on explicit commands ignores the potential gain of implicit communication, which can be significant as evidenced from experimental psychology  ... 
doi:10.3390/safety5040072 fatcat:dntka35d3fb3bf7ficwsmzatkm

Operator Engagement Detection for Robot Behavior Adaptation

Pramila Rani, Nilanjan Sarkar
2007 International Journal of Advanced Robotic Systems  
This paper presents a framework for human-robot interaction that allows inference of operator's engagement level through the analysis of his/her physiological signals, and adaptation of robot behavior  ...  It has been shown that in human-robot interaction, the effectiveness of a robot varies inversely with the operator engagement in the task.  ...  Engagement-Based Teleoperation Control Architecture for Implicit Human-Robot Interaction For a human-robot interaction to mimic similar humanhuman interaction, it is essential that both the robot and  ... 
doi:10.5772/5716 fatcat:qgclzcqjsvdghjuxzutqwnmnyy

Towards Affect-sensitive Assistive Intervention Technologies for Children with Autism [chapter]

Karla Conn, Changchun Liu, Nilanjan Sarkar, Wendy Stone, Zachary Warre
2008 Affective Computing  
A Support Vector Machines (SVM) based affective model yielded approximately 82.9% success for predicting affect inferred from a therapist.  ...  lack -to achieve effective interaction that addresses the role of affective states in human-computer interaction (HCI), human-robot interaction (HRI), and intervention practice.  ...  for guidance during the development of experiments involving children with ASD, and the parents and children who participated in the presented research.  ... 
doi:10.5772/6171 fatcat:fcy56lfvqzglzj35hhem76s5iu

Robot transparency, trust and utility

Robert H. Wortham, Andreas Theodorou
2017 Connection science  
As robot reasoning becomes more complex, debugging becomes increasingly hard based solely on observable behaviour, even for robot designers and technical specialists.  ...  The EPSRC Principles of Robotics mandate that our artefacts should be transparent, but what does this mean in practice, and how does transparency affect both trust and utility?  ...  People have strong expectations for how implicit and explicit non-verbal cues map to mental states.  ... 
doi:10.1080/09540091.2017.1313816 fatcat:m6mzzbggabez3ljw4icmal4xhe

Physiology-based affect recognition for computer-assisted intervention of children with Autism Spectrum Disorder

Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy Stone
2008 International Journal of Human-Computer Studies  
A support vector machines (SVM)-based affective model yields reliable prediction with approximately 82.9% success when using the therapist's reports.  ...  Two computer-based cognitive tasks are designed to elicit the affective states of liking, anxiety, and engagement that are considered important in autism intervention.  ...  Acknowledgments The authors gratefully acknowledge the Marino Autism Research Institute (MARI) grant, the staff support from Vanderbilt's Treatment and Research Institute for ASD (TRIAD), and all the parents  ... 
doi:10.1016/j.ijhsc.2008.04.003 fatcat:6usae3nlgfb5tnsyl2b6g6t6ty

Human-Centred Intelligent Human Computer Interaction (HCI²): how far are we from attaining it?

Maja Pantic, Anton Nijholt, Alex Pentland, Thomas S. Huanag
2008 International Journal of Autonomous and Adaptive Communications Systems  
To realise this prediction, next-generation computing should develop anticipatory user interfaces that are human-centred, built for humans and based on naturally occurring multimodal human communication  ...  This article discusses how far we are to the goal of human-centred computing and Human-Centred Intelligent Human-Computer Interaction (HCI 2 ) that can understand and respond to multimodal human communication  ...  How can we design the interaction of humans with devices that are invisible? How can we design implicit interaction for sensor-based interfaces? What about users?  ... 
doi:10.1504/ijaacs.2008.019799 fatcat:nyvcvkfi75anhpbiaspsx35eq4

Implicit human-centered tagging [Social Sciences

Maja Pantic, Alessandro Vinciarelli
2009 IEEE Signal Processing Magazine  
AUTOMATIC ANALYSIS OF HUMAN AFFECT Human natural affective behavior is multimodal, subtle, and complex.  ...  HUMAN BEHAVIOR IN HUMAN-COMPUTER INTERACTION Research on the border between human-computer interaction (HCI) and psychology emphasizes the phenomenon called "media equation," [11] -people react to multimedia  ...  By coupling computational innovation with recent advancements in genomics, we anticipate that signal processing techniques will significantly leverage the use of high resolution probes for personalized  ... 
doi:10.1109/msp.2009.934186 fatcat:wnx5l5qynfhchkqeci7mxywxhq

Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies

Ahmad Arslan, Cary Cooper, Zaheer Khan, Ismail Golgeci, Imran Ali
2021 International journal of manpower  
It specifically focusses on the teamwork dimension, where human workers and AI-powered machines (robots) work together and offer insights and suggestions for such teams' smooth functioning.  ...  Along with these, human workers' task fulfilment expectations with their AI-enabled robot colleagues need to be carefully communicated and managed by HRM staff to maintain the collaborative spirit, as  ...  work paradigms and systems and concerns over controlling AI-based machines to avoid autonomous decisions and implicit biases (Kaplan and Haenlein, 2019) , as well as potentially overburden with new work  ... 
doi:10.1108/ijm-01-2021-0052 fatcat:pbxcfrhkrzdfje3sbkh7ulxfdy

Implicit Human-Centered Tagging

A. Vinciarelli, N. Suditu, M. Pantic
2009 2009 IEEE International Conference on Multimedia and Expo  
Thus, implicit tagging allows that a data item gets tagged each time a user interacts with it based on the reactions of the user to the data (e.g., laughter when seeing a funny video), in contrast to explicit  ...  In contrast to this process, also referred to as Explicit Tagging, Implicit Human-Centered Tagging (IHCT) refers to exploiting the information on user's nonverbal reactions (e.g., facial expressions like  ...  multimedia data (for examples of such reactions, see Figure 2 ), is the core idea of Implicit Human-Centered Tagging.  ... 
doi:10.1109/icme.2009.5202770 dblp:conf/icmcs/VinciarelliSP09 fatcat:fi2eriepa5g2xiqo7raaghdvmu

Multimodal analysis of the implicit affective channel in computer-mediated textual communication

Joseph F. Grafsgaard, Robert M. Fulton, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester
2012 Proceedings of the 14th ACM international conference on Multimodal interaction - ICMI '12  
This approach of empirically studying the implicit affective channel may identify details of human behavior that can inform the design of future textual dialogue systems modeled on naturalistic interaction  ...  While overt communication (e.g., emoticons or explicit discussion of emotion) can explain some aspects of affect conveyed through textual dialogue, there may also be an underlying implicit affective channel  ...  Understanding this implicit affective channel may hold great benefit for systems that aim to interact in naturalistic ways with humans.  ... 
doi:10.1145/2388676.2388708 dblp:conf/icmi/GrafsgaardFBWL12 fatcat:vi2aobesjfgmzmmznnxt3kggby

Ethics of engagement

Karamjit S. Gill
2020 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
the social anxiety affects the robot anxiety, which in turn affects the attitude toward interacting with robots.  ...  It asks whether the anxiety of human-human relationships affects the anxiety when they interact with robots, and what would possible effect of this relationship be on the attitude toward interaction with  ... 
doi:10.1007/s00146-020-01079-8 pmid:33071472 pmcid:PMC7547559 fatcat:sntnor3mgzeubj4sradnmja454
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