A Wizard of Oz Study of Human Interest Towards Robot Initiated Human-Robot Interaction

Sirithunge, H. P. Chapa; Muthugala, M. A. Viraj J.; Jayasekara, A. G. Buddhika P.; Chandima, D. P.

doi:10.1109/roman.2018.8525583

Cited by 12 publications

(13 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These findings were based on the assumption that people prefer the same rules of interaction with the robot as they do when interacting with humans. There can be certain cultures and social groups in which there are alterations in this fact [ 38 ]. Hence, such persons would react to robots in a different manner.…”

Section: Discussionmentioning

confidence: 99%

An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction

Sirithunge

Jayasekara

Chandima

2021

Applied Bionics and Biomechanics

Self Cite

View full text Add to dashboard Cite

To generate context-aware behaviors in robots, robots are required to have a careful evaluation of its encounters with humans. Unwrapping emotional hints in observable cues in an encounter will improve a robot’s etiquettes in a social encounter. This article presents an extended human study conducted to examine how several factors in an encounter influence a person’s preferences upon an interaction at a particular moment. We analyzed the nature of conversation preferred by a user considering the type of conversation a robot could have with its user, having the interaction initiated by the robot itself. We took an effort to explore how such preferences differ as the factors present in the surrounding alter. A social robot equipped with the capability to initiate a conversation is deployed to conduct the study by means of a wizard-of-oz (WoZ) experiment. During this study, conversational preferences of users could vary from “no interaction at all” to a “long conversation.” We changed three factors in an encounter which can be different from each other in each circumstance: the audience or outsiders in the environment, user’s task, and the domestic area in which the interaction takes place. Conversational preferences of users within the abovementioned conditions were analyzed in a later stage, and critical observations are highlighted. Finally, implications that could be helpful in shaping future social human-robot encounters were derived from the analysis of the results.

show abstract

Section: Discussionmentioning

confidence: 99%

An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction

Sirithunge

Jayasekara

Chandima

2021

Applied Bionics and Biomechanics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, humans display a more open and friendly behavior in front of a robot than another human. It is also upon robots that humans show more rejection when dissatisfied or disturbed by their behavior [2]. Hence situation-awareness of user behavior will mitigate incidents in which robots being rejected by their users.…”

Section: ) User-centered Designmentioning

confidence: 99%

“…Moreover, it is imperative to investigate human inclinations towards a communication with a robot since human behavior before another human could take a different form in comparison to that before a robot. The human study performed in [2] was planned to investigate human responses towards an interaction with a robot in various circumstances. As indicated by this investigation, human reactions upon a robot-initiated interaction vary depending on their current activity.…”

Section: B Modern Developmentsmentioning

confidence: 99%

“…Today, robots are deployed in our environments to make most of the tasks easier. Such robots are expected to have a general sense of the outcomes of their behavior in humanrobot collaborative environments [2]. Many robots entering social environments are expert in only one or a few given…”

Section: Introductionmentioning

confidence: 99%

“…As the user was not attentive of the presence of the robot, robot tries to initiate an interaction. In such a scenario, facts from the surrounding as well as within the user may affect the emotional state of the interaction scenario [2]. can adjust it's approach behavior, dialogs and other actions regarding interaction to match the situation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proactive Robots With the Perception of Nonverbal Human Behavior: A Review

2019

Self Cite

View full text Add to dashboard Cite

Intelligent robot companions contribute significantly in improving living standards in the modern society. Therefore, human-like decision making skills are sought after during the design of such robots. On the one hand, such features enable the robot to be easily handled by its non-expert human user. On the other hand, the robot will have the capability of dealing with humans without causing any disturbance by the robot's behavior. Mimicing human emotional intelligence is one of the best and reasonable ways of laying the foundation for robotic emotional intelligence. As robots are widely deployed in social environments, perception of the situation or intentions of a user prior to an interaction is required to be proactive. Proactive robots are required to understand what is communicated by the human body language prior to approaching a human. Social constraints in an interaction could be demolished by this assessment in this regard. In this review, we incorporate various findings of human-robot interaction, social robotics and psychophysiology to assess intelligent systems which were capable of evaluating the emotional state of humans prior to an interaction. Second, we identify the cues and evaluation techniques that were utilized by such intelligent agents to simulate and evaluate the suitability of a proactive interaction. Available literature has been evaluated to distinguish limitations of existing methods and suggest possible improvements. These limitations, guiding principles to be adhered to and suggested improvements, are presented as an outcome of the review. INDEX TERMSInteraction initiation, nonverbal cues, context-awareness, social robots, human-robot interaction. A. G. BUDDHIKA P. JAYASEKARA (M'07-SM'17) received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Moratuwa, respectively, in 2004 and 2006, and the doctoral degree in robotics and intelligent systems from Saga University, Japan. He received the Japanese Government Monbukagakusho Scholarship to pursue postgraduate studies in Japan. He joined the Department of Electrical Engineering, University of Moratuwa, after completing his doctoral studies in 2010, where he currently a Senior Lecturer.His main research interests include artificial intelligence techniques, human-robot interaction, human-friendly robotics, machine learning, and intelligent systems. He is the Principle Investigator of the Intelligent Service Robotics Group, Department of Electrical Engineering, University of Moratuwa, and working as the Director of Center for Advanced Robotics (CAR), a multidisciplinary research center of University of Moratuwa from 2017. Currently, he is working on two main projects: intelligent mobile robot for domestic environments (MIRob-Moratuwa Intelligent Robot) and intelligent wheelchair for domestic environments. D. P. CHANDIMA (M'03-SM'17) received the B.Sc. degree from the

show abstract

Researching interactions between humans and machines: methodological challenges

et al. 2022

View full text Add to dashboard Cite

Communication scholars are increasingly concerned with interactions between humans and communicative agents. These agents, however, are considerably different from digital or social media: They are designed and perceived as life-like communication partners (i.e., as “communicative subjects”), which in turn poses distinct challenges for their empirical study. Hence, in this paper, we document, discuss, and evaluate potentials and pitfalls that typically arise for communication scholars when investigating simulated or non-simulated interactions between humans and chatbots, voice assistants, or social robots. In this paper, we focus on experiments (including pre-recorded stimuli, vignettes and the “Wizard of Oz”-technique) and field studies. Overall, this paper aims to provide guidance and support for communication scholars who want to empirically study human-machine communication. To this end, we not only compile potential challenges, but also recommend specific strategies and approaches. In addition, our reflections on current methodological challenges serve as a starting point for discussions in communication science on how meaning-making between humans and machines can be investigated in the best way possible, as illustrated in the concluding section.

show abstract

A Wizard of Oz Study of Human Interest Towards Robot Initiated Human-Robot Interaction

Cited by 12 publications

References 27 publications

An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction

An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction

Proactive Robots With the Perception of Nonverbal Human Behavior: A Review

Researching interactions between humans and machines: methodological challenges

Contact Info

Product

Resources

About