Psychophysiological responses to robot training in different recovery phases after stroke

Goljar, Nika; Javh, Metka; Poje, Janja; Ocepek, Julija; Novak, Domen; Ziherl, Jaka; Olenšek, Andrej; Mihelj, Matjaž; Munih, Marko

doi:10.1109/icorr.2011.5975498

Cited by 14 publications

(12 citation statements)

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“…Clearly, the cardiovascular pattern will affect the participant's reaction and it will be taken into account for possible confounds. One point is worth being underscored: the subjects recruited for sampling in many of the HRI studies described in this review are university students or young adults (e.g., [84,89,111]). Furthermore, stroke victim subjects tend to be younger adults with an average age of 50 years.…”

Section: Some Lessons Learned From the Literaturementioning

confidence: 99%

“…Among the most commonly used self-report measures administered, the Self-Assessment Manikin [16] is a very common assessment technique to measure the pleasure, arousal, and dominance associated with participants' emotional reaction to robot stimuli as reported in [89,90]. Other research includes self-report assessment developed ad hoc [19,72,88] or a scale for evaluating affective response as positive and negative affect schedule (PANAS) [93].…”

Section: Some Lessons Learned From the Literaturementioning

confidence: 99%

“…Goljar et al [89] recruited three different groups of subjects: a subacute stroke (N = 23 subjects), a chronic stroke (N = 10 subjects) and a control group (N = 23). Electrodermal, cardiovascular activity and respiratory rate were monitored during a reaching and grasping exercise task performed through a manipulator robotic arm and a haptic robotic interface.…”

Section: Psychophysiological Studies Evaluating Humans' Response To Rmentioning

confidence: 99%

“…Habituation has several implications for the reliability and stability assessment of results produced by studies based on the psychophysiological approach. Administering self-report measures or asking participants to evaluate their experience in the presentation of each task or stimulus of the experiment [8] is a consolidation strategy to avoid or reduce the negative effects of habituation, as reported in [72,[88][89][90][91].…”

Section: Some Lessons Learned From the Literaturementioning

confidence: 99%

“…Human-like robot's features in terms of gestures and movements generate a positive response among the participants and consequently affect their attitude and acceptance towards the robot. The most used robots are generally robotic manipulator arms [19,72,89] social assistive robots, such as PeopleBot [91,92], mechanical humanoid robots [68,94,96], and robotic haptic interfaces [89], with which participants do not have sufficient familiarity. As reported in the literature, user's previous experience and familiarity contribute to modulate acceptance, especially in older adults [110,104].…”

Section: Some Lessons Learned From the Literaturementioning

confidence: 99%

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Psychophysiological Methods to Evaluate User’s Response in Human Robot Interaction: A Review and Feasibility Study

2013

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Implementing psychophysiological measures is a worthwhile approach for understanding human reaction to robot presence in terms of individual emotional state. This paper reviews the suitability of using psychophysiological assessment in human-robot interaction (HRI) research. A review of most common psychophysiological parameters used in a controlled laboratory setting is provided and advantages and challenges of their utilization in HRI experiments are described. Exemplar studies focused on the implementation of psychophysiological measures for the evaluation of the emotional responses of the participants to the robots' presence are described. Based on the reviewed literature, the paper also describes the results of our own research experience to make the most of the emerged recommendations. We planned and performed a study aimed at implementing psychophysiological measurements for assessing the human response of two groups of older adults (Healthy vs. Mild Cognitive Impairment subjects) towards a telepresence robot. Finally, the paper provides a summary of lessons learned across the field in using psychophysiological measures in HRI studies.

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Section: Some Lessons Learned From the Literaturementioning

confidence: 99%