Interaction Studies - Volume 17, Issue 2, 2016

An experiment examined goal understanding and how perceivers’ suspiciousness was associated with the accuracy, valence, and certainty of their inferences about a pursuer’s goal. In initial interactions, one dyad member was randomly assigned as the pursuer, and the other was the perceiver. The congruency of the perceiver’s and the pursuer’s conversation goals (i.e., discordant, identical, or concordant) and the perceiver’s cognitive busyness were manipulated. Results confirmed that accuracy decreased as perceivers’ suspiciousness increased only for not-busy perceivers in the goal-discord condition because perceivers’ inferences were negatively valenced. Results also supported the hypotheses that certainty decreased as perceivers’ suspiciousness increased only for not-busy perceivers in the goal-discord condition and that certainty increased as perceivers’ suspiciousness increased both for not-busy perceivers in the identical-goal condition and for busy perceivers in the goal-discord condition.

Human instructors often refer to objects and actions involved in a task description using both linguistic and non-linguistic means of communication. Hence, for robots to engage in natural human-robot interactions, we need to better understand the various relevant aspects of human multi-modal task descriptions. We analyse reference resolution to objects in a data collection comprising two object manipulation tasks (22 teacher student interactions in Task 1 and 16 in Task 2) and find that 78.76% of all referring expressions to the objects relevant in Task 1 are verbally underspecified and 88.64% of all referring expressions are verbally underspecified in Task 2. The data strongly suggests that a language processing module for robots must be genuinely multi-modal, allowing for seamless integration of information transmitted in the verbal and the visual channel, whereby tracking the speaker’s eye gaze and gestures as well as object recognition are necessary preconditions.

Robots seemingly in possession of an experiential mind, as well as humans allegedly incapable thereof, have been reported to elicit feelings of eeriness in their perceivers. The current work re-examined this claim, asking participants to rate both robots and humans in various social situations regarding their mind capacities (e.g., emotional capability, intelligence), non-mind qualities (e.g., animacy, usefulness), and overall appeal (e.g., eeriness, likeability). It was found that feelings of eeriness towards both targets formed a distinct emotional response that was separable from simple dislike. Yet, unexpectedly, eeriness towards both targets intensified, the less they were seen as possessing a typical human mind. For robots, however, this association was less consistent. Moreover, eeriness towards robots, but not towards humans, was most strongly predicted by a lack of perceived usefulness. These results indicate that mind attributions affect people’s attitudes towards each other more strongly than their attitudes towards humanoid robots.

The development of reasoning systems exploiting expert knowledge from interactions with humans is a non-trivial problem, particularly when considering how the information can be coded in the knowledge representation. For example, in human development, the acquisition of knowledge at one level requires the consolidation of knowledge from lower levels. How is the accumulated experience structured to allow the individual to apply knowledge to new situations, allowing reasoning and adaptation? We investigate how this can be done automatically by an iCub that interacts with humans to acquire knowledge via demonstration. Once consolidated, this knowledge is used in further acquisitions of experience concerning preconditions and consequences of actions. Finally, this knowledge is translated into rules that allow reasoning and planning for novel problem solving, including a Tower of Hanoi scenario. We thus demonstrate proof of concept for an interaction system that uses knowledge acquired from human interactions to reason about new situations.

A toy is a valuable medium for promoting parent-child interaction. This study selected six light-emitting or reflective materials to produce composite toy balls, and conducted tests on 15 families with preschool-aged high-functioning autistic children. Quantification method I analysis was employed in the study, and the experimental results indicated that (a) the metal ball (reflective and dynamic light) was the representative sample that elicited many smiles or laughs and much finger pointing as well as high levels of pleasure and activeness.; (b) the mitball (static light) was the representative sample that provoked much eye contact, produced satisfactory reactions to activities,; (c) the quality of fluorescence enhanced the levels of pleasure and the reactions to the activity. We propose that dynamic and reflective materials can be adopted to divert the attention of children, and fluorescent toys can then employed to sustain parent-child interaction.

This study investigated person perception in respect of variables associated with affect in music (tempo and mode) following motor synchronization to music. Participants (n = 128, 50% female) were tested in a task involving stepping with a researcher to the beat of slow or fast music in major or minor mode, following which measures concerning the synchronised partner were collected (incidental memory, likeability of, similarity to and prosocial attitude towards). Significant effects were found only for the ‘likeability’ measure, modulated by gender, suggesting that variables associated with affect perception in music, such as mode and tempo appear relevant for person perception in a synchronization task in ways that differ for men and women. The results of this ‘proof of concept’ study indicate the need for further research on the effect of motor synchronization based on ecologically valid musical interaction tasks.