Development of a Bioinstrumentation System in the Interaction between a Human and a Robot

Itoh, Kazuko; Miwa, Hiroyoshi; Nukariya, Yuko; Zecca, Massimiliano; Takanobu, Hideaki; Roccella, S.; Carrozza, Maria Chiara; Dario, P.; Takanishi, Atsuo

doi:10.1109/iros.2006.281941

Cited by 34 publications

(43 citation statements)

References 7 publications

(7 reference statements)

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“…The primary advantage for using psychophysiological measurements is that participants cannot consciously manipulate the activities of their autonomic nervous system [15,17,18,20,26,28]. Also, psychophysiological measures offer a minimally-invasive method that are used to determine the stress levels and responses of participants interacting with technology [15,18,20,26,28].…”

Section: Methods Of Evaluationmentioning

confidence: 99%

“…Multiple psychophysiological signals were measured which is highly recommended for this type of study for reliability and validity in the results [2,4,15,17,20,26,28]. As a result of having a larger participant pool than previous studies, they found statistically significant results and were able to discover the best psychophysiology measures to determine valence and arousal responses from participants.…”

Section: Survey Of Human Studies For Hrimentioning

confidence: 99%

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Review of Human Studies Methods in HRI and Recommendations

Bethel

Murphy

2010

Int J of Soc Robotics

126

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This article provides an overview on planning, designing, and executing human studies for Human-Robot Interaction (HRI) that leads to ten recommendations for experimental design and study execution. Two improvements are described, using insights from the psychology and social science disciplines. First is to use large sample sizes to better represent the populations being investigated to have a higher probability of obtaining statistically significant results. Second is the application of three or more methods of evaluation to have reliable and accurate results, and convergent validity. Five primary methods of evaluation exist: selfassessments, behavioral observations, psychophysiological measures, interviews, and task performance metrics. The article describes specific tools and procedures for operationalizing these improvements, as well as suggestions for recruiting participants. A recent large-scale, complex, controlled human study in HRI using 128 participants and four methods of evaluation is presented to illustrate planning, design, and execution choices.

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Section: Methods Of Evaluationmentioning

confidence: 99%

Section: Survey Of Human Studies For Hrimentioning

confidence: 99%

Review of Human Studies Methods in HRI and Recommendations

Bethel

Murphy

2010

Int J of Soc Robotics

126

View full text Add to dashboard Cite

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“…For completeness, we also mention other studies we are aware of where psychophysiology has been used in human-robot interaction, even though these studies have very different objectives from our own. Researchers have used psychophysiology to modify a robot's behaviour with respect to psychophysiological responses of a participant (Bekele and Sarkar 2014;Itoh et al 2006;Rani and Sarkar 2005;Rani et al 2004). Finally, psychophysiology has also been used in the field of adaptive automation (Byrne and Parasuraman 1996;Prinzel et al 2000Prinzel et al , 2003Ting et al 2010)-the psychophysiological state of a human is monitored in order to change the level of automation of a system.…”

Section: Related Literaturementioning

confidence: 99%

Investigating the effect of increasing robot group sizes on the human psychophysiological state in the context of human–swarm interaction

et al. 2016

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We study the psychophysiological state of humans when exposed to robot groups of varying sizes. In our experiments, 24 participants are exposed sequentially to groups of robots made up of 1, 3 and 24 robots. We measure both objective physiological metrics (skin conductance level and heart rate), and subjective self-reported metrics (from a psychological questionnaire). These measures allow us to analyse the psychophysiological state (stress, anxiety, happiness) of our participants. Our results show that the number of robots to which a human is exposed has a significant impact on the psychophysiological state of the human and that higher numbers of robots provoke a stronger response.

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“…using the psychophysiological measures, is gaining more popularity in the HRI studies because, as mentioned above, it is a relatively fair approach. This is because participants cannot consciously manipulate the activities of their autonomic nervous system [5,7,71,92,99,103,128,130].…”

Section: Psycho-physiological Measurementsmentioning

confidence: 99%

Extensive assessment and evaluation methodologies on assistive social robots for modelling human–robot interaction – A review

Sim

Loo

2015

Information Sciences

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a b s t r a c tAssessment and evaluation methodologies as well as combinations of them, for modelling of Human-Robot Interaction (HRI), are reviewed extensively and thoroughly in this paper. However, based on the types of robots and the kinds of interactions involved in the modelling of HRI, we concentrate just on the assistive social robot types. A comprehensive review has been done on each of these extensive evaluation and assessment methodologies applied for testing the usability of assistive social robots, user acceptance towards robots and robot acceptance in terms of behavioural adaptation during the HRI. The evaluation methodologies are reviewed based on the primary and non-primary basis, while the assessment methodologies are reviewed based on the type(s) of modelling approaches. We then discussed the weaknesses, strengths and uniqueness of each type of the past research work done on the evaluation and assessment methodologies. Comparison and contrast tables are also illustrated. Lastly, this paper provides our recommended directions, new vision, as well as our inspirations and new insights for future researches by highlighting the key areas for enhancing each of the past evaluation and assessment methodologies so that a better modelling approach for HRI can be achieved. Contributions of this review paper are also discussed thoroughly.

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Development of a Bioinstrumentation System in the Interaction between a Human and a Robot

Cited by 34 publications

References 7 publications

Review of Human Studies Methods in HRI and Recommendations

Review of Human Studies Methods in HRI and Recommendations

Investigating the effect of increasing robot group sizes on the human psychophysiological state in the context of human–swarm interaction

Extensive assessment and evaluation methodologies on assistive social robots for modelling human–robot interaction – A review

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