Abstract:To evaluate our emotionally intelligent software, we put a virtual human capable of speech and facial expressions to an updated and enriched version of the traditional Turing test. In a speed-date with 54 young females, either our software or human confederates controlled the simulation of the virtual human's affective performance. Results were obtained with frequentist analysis and Bayesian structural equation modeling. Indeed, participants did not detect differences and observed similarity in the emotional b… Show more
“…While following this reasoning, in about 20 years' time, we validated the theory (Interactively) Perceiving and Experiencing Fictional Characters for movie characters, media figures, office assistants, game characters, virtual tour guides (Hoorn & Konijn, 2003 (Hoorn, Konijn, & Pontier, 2018), and social robots in various settings (e.g., a robot doctor, a robot grandchild) (Hoorn, Konijn, Germans, Burger, & Munneke, 2015). We found the functions that tell how much the said psychological dimensions suppress or enhance one another, running from ethics and affordances through relevance and valence up to involvement, distance, and use intentions.…”
In this discussion paper, I give an account for non-experts of, arguably, quantum dynamics in the brain, underlying the modeling of affective behavior of humanoid robots in the making. Outreach to the larger audience inevitably leads to abbreviations and simplifications; nonetheless, I try to offer the backgrounds of why it is important to study the virtual aspects of ‘people’ we meet online, what dimensions play a role in assessing such creatures, what humanities, psychology, communication, and computer science provide to help us understand how we become attached to non-existent others. As its capstone for the time being, an approach derived from physics is discussed for a robot to handle emotional ambiguity and vagueness of its user. Two computational models, Silicon and Quantum Coppélia, are discussed for their potential and limitations in explaining human affective behavior while dealing with mediated characters.
“…While following this reasoning, in about 20 years' time, we validated the theory (Interactively) Perceiving and Experiencing Fictional Characters for movie characters, media figures, office assistants, game characters, virtual tour guides (Hoorn & Konijn, 2003 (Hoorn, Konijn, & Pontier, 2018), and social robots in various settings (e.g., a robot doctor, a robot grandchild) (Hoorn, Konijn, Germans, Burger, & Munneke, 2015). We found the functions that tell how much the said psychological dimensions suppress or enhance one another, running from ethics and affordances through relevance and valence up to involvement, distance, and use intentions.…”
In this discussion paper, I give an account for non-experts of, arguably, quantum dynamics in the brain, underlying the modeling of affective behavior of humanoid robots in the making. Outreach to the larger audience inevitably leads to abbreviations and simplifications; nonetheless, I try to offer the backgrounds of why it is important to study the virtual aspects of ‘people’ we meet online, what dimensions play a role in assessing such creatures, what humanities, psychology, communication, and computer science provide to help us understand how we become attached to non-existent others. As its capstone for the time being, an approach derived from physics is discussed for a robot to handle emotional ambiguity and vagueness of its user. Two computational models, Silicon and Quantum Coppélia, are discussed for their potential and limitations in explaining human affective behavior while dealing with mediated characters.
“…If people cannot reject the H0, the agency is just another human being. The alternative explanation is that the observer cannot prove that this one agency actually is a robot, for instance, because it has passed the Turing Test (Hoorn, Konijn, & Pontier, 2018). In an affective reflexive mode, which is fast and imprecise, sensitivity d' decreases (Figure 2).…”
“…In the remainder of this paper, a brief review of the model is given in Section S1 , together with an attempt to better systematize the use of mathematical language for deployment in the quantum-computing algorithms, presented thereafter. Figure 1 Dependencies in Silicon Coppélia 32 . Curved arrows indicate interaction effects.…”
In modeling the human affective system and applying lessons learned to human–robot interaction, the challenge is to handle ambiguous emotional states of an agency (whether human or artificial), probabilistic decisions, and freedom of choice in affective and behavioral patterns. Moreover, many cognitive processes seem to run in parallel whereas seriality is the standard in conventional computation. Representation of contextual aspects of behavior and processes and of self-directed neuroplasticity are still wanted and so we attempt a quantum-computational construction of robot affect, which theoretically should be able to account for indefinite and ambiguous states as well as parallelism. Our Quantum Coppélia (Q-Coppélia) is a translation into quantum logics of the fuzzy-based Silicon Coppélia system, which simulates the progression of a robot’s attitude towards its user. We show the entire circuitry of the Q-Coppélia framework, aiming at contemporary descriptions of (neuro)psychological processes. Arguably, our work provides a system for simulating and handling affective interactions among various agencies from an understanding of the relations between quantum algorithms and the fundamental nature of psychology.
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