Affect-sensitive human-robot cooperation - theory and experiments

Rani, P. Arockia Jansi; Sarkar, Nilanjan; Smith, Craig A.

doi:10.1109/robot.2003.1241949

Cited by 28 publications

(21 citation statements)

References 8 publications

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“…Any unwanted variation in the stress levels or other physiological signal of the human agent can then be used as a trigger for reallocations (Bailey, Scerbo, Freeman, Mikulka, & Scott, 2006;Freeman, Mikulka, Scerbo, & Hadley, 1998;Freeman, Mikulka, Prinzel, & Scerbo, 1999;Freeman, Mikulka, Scerbo, Prinzel, & Clouatre, 2000;Prinzel, Freeman, Scerbo, Mikulka, & Pope, 2003). Emotional assessment of operators by using physiological responses, such as excited physiological state (corresponding to fear) and calm physiological state (corresponding to meditation), could also aid in determining the mental state of the operator (Herbelin, Benzaki, Riquier, Renault, & Thalmann, 2004;Rani, Sarkar, & Smith, 2003). The constant monitoring of physiological signals is a function itself and is allocated to the automated agent at all times.…”

Section: Third-generation Function Allocation Theoriesmentioning

confidence: 99%

Roadmap for the next generation of dynamic function allocation theories and strategies

Lagu

Landry

2010

Hum Ftrs & Erg Mfg Svc

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Dynamic function allocation theories have matured, but not to the extent that they can be implemented in actual environments. The authors identify a roadmap to help to get to that stage, after a brief review of relevant function allocation theories and the gaps in knowledge in adaptive allocation theories. Past research has focused on short-term implementations of dynamic function allocation, which last for minutes (but never more than a few hours). Stable and enduring implementations of dynamic function allocation, lasting over days or possibly years, require a better and scientific understanding of the interaction among trigger mechanisms, adaptation strategies, and interruption strategies. The possibility of an unintentional consequence of this adaptive allocation, that the automated agent becomes confined to limited levels of automation, has to be ruled out after experimental evidence. C 2010 Wiley Periodicals, Inc.

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Section: Third-generation Function Allocation Theoriesmentioning

confidence: 99%

Roadmap for the next generation of dynamic function allocation theories and strategies

Lagu

Landry

2010

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

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“…Moreover, studies with robots and simulated agents showed that emotional mechanisms can improve the performance of agents and may be cheaper than other, more complex nonemotional control mechanisms (e.g., Murphy et al, 2002;Scheutz and Logan, 2001). Even though many important advances have been made in our understanding of how to make machines recognize or signal different kinds of affect in interactions with people (e.g., see Rani et al, 2003;Lisetti et al, 2004;Kanda et al, 2005), there is currently only one study that investigated the effect of the robot's affect expression on team performance in a joint human-robot team task based on an objective performance measure ("time-to-task-completion").…”

Section: The Utility Of Affect For Nhl-hrimentioning

confidence: 99%

First steps toward natural human-like HRI

et al. 2006

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Natural human-like human-robot interaction (NHL-HRI) requires the robot to be skilled both at recognizing and producing many subtle human behaviors, often taken for granted by humans. We suggest a rough division of these requirements for NHL-HRI into three classes of properties: (1) social behaviors, (2) goal-oriented cognition, and (3) robust intelligence, and present the novel DIARC architecture for complex affective robots for human-robot interaction, which aims to meet some of those requirements. We briefly describe the functional properties of DIARC and its implementation in our ADE system. Then we report results from human subject evaluations in the laboratory as well as our experiences with the robot running ADE at the 2005 AAAI Robot Competition in the Open Interaction Event and Robot Exhibition.

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“…However, this apparent simplicity is extremely subjective to human beings, and the computation of those indices hides a great complexity that Hanjalic and Wang overcome by selecting 'arbitrary' digital features. To avoid this, other researchers (Healey and Picard 1998;Rani et al 2003) designed protocols to learn and optimise the correlations between physiological data and affective states. Whatever the algorithm (statistical or fuzzy respectively), the principle is the same: record various physiological signals, compute several parameters, and operate the classification.…”

Section: Affective Computingmentioning

confidence: 99%

Using physiological measures for emotional assessment: A computer-aided tool for cognitive and behavioural therapy

Herbelin¹,

Benzaki²,

Riquier³

et al. 2005

International Journal on Disability and Human Development

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In the context of Cognitive and Behavioural Therapies, the use of immersion technologies to replace classical exposure could improve the therapeutic process. As it is necessary to validate the efficiency of such a technique, both therapists and VR specialists need tools to monitor the impact of Virtual Reality Exposure on the patients. According to previous observations and experiments, it appears that an automatic evaluation of the Arousal and Valence components of affective reactions can provide significant information. The present study investigates a possible solution of Arousal and Valence computation from physiological measurements. Results show that the dimensional reduction is not statistically meaningful, but the correlations found encourage the investigation of this approach as a complement to cognitive and behavioural study of the patient.

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Affect-sensitive human-robot cooperation - theory and experiments

Cited by 28 publications

References 8 publications

Roadmap for the next generation of dynamic function allocation theories and strategies

Roadmap for the next generation of dynamic function allocation theories and strategies

First steps toward natural human-like HRI

Using physiological measures for emotional assessment: A computer-aided tool for cognitive and behavioural therapy

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