State-of-the-Art Visual Merchandising Using a Fashionable Social Robot: RoMa

Zibafar, Ahmad; Saffari, Ehsan; Alemi, Minoo; Meghdari, Ali; Faryan, Leila; Pour, Ali Ghorbandaei; RezaSoltani, Amin; Taheri, Alireza

doi:10.1007/s12369-019-00566-3

Cited by 24 publications

(19 citation statements)

References 30 publications

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“…Further, the proposed method is suitable to be implemented in both overt and covert gaze action selection and generation (Rea et al, 2014 ). Results achieved here in a multimodal conversational setting are likely to be relevant in everyday multimodal settings where the robot is requested to gaze at people around (Zibafar et al, 2019 ). Clearly, in a real world context the bottom layer of patch computation should efficiently embed suitable methods that have been applied for speaker localization in the field of humanoid robotics (e.g., Zibafar et al, 2019 ; Rea et al, 2020 ).…”

Section: Discussionmentioning

confidence: 85%

Gazing at Social Interactions Between Foraging and Decision Theory

D’Amelio

Boccignone

2021

Front. Neurorobot.

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Finding the underlying principles of social attention in humans seems to be essential for the design of the interaction between natural and artificial agents. Here, we focus on the computational modeling of gaze dynamics as exhibited by humans when perceiving socially relevant multimodal information. The audio-visual landscape of social interactions is distilled into a number of multimodal patches that convey different social value, and we work under the general frame of foraging as a tradeoff between local patch exploitation and landscape exploration. We show that the spatio-temporal dynamics of gaze shifts can be parsimoniously described by Langevin-type stochastic differential equations triggering a decision equation over time. In particular, value-based patch choice and handling is reduced to a simple multi-alternative perceptual decision making that relies on a race-to-threshold between independent continuous-time perceptual evidence integrators, each integrator being associated with a patch.

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Section: Discussionmentioning

confidence: 85%

Gazing at Social Interactions Between Foraging and Decision Theory

D’Amelio

Boccignone

2021

Front. Neurorobot.

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“…Nevertheless, the expansibility and promising results of the one-shot Learning from Demonstration technique are in line with other researches [ 61 , 62 ] which are the main achievements of conducting such machine learning algorithms in social Human–Robot Interaction. In terms of accuracy, the implemented system is weaker than many of state of the art researches [ 63 – 66 ]; however, due to the small size of the dataset and other limitations, this is justifiable and promising. It should be noted that the same level of accuracy is reported in recent papers in the literature (such as [ 13 ]).…”

Section: Resultsmentioning

confidence: 99%

One-shot Learning from Demonstration Approach Toward a Reciprocal Sign Language-based HRI

Hosseini

Taheri

Alemi

et al. 2021

Int J of Soc Robotics

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This paper addresses the lack of proper Learning from Demonstration (LfD) architectures for Sign Language-based Human–Robot Interactions to make them more extensible. The paper proposes and implements a Learning from Demonstration structure for teaching new Iranian Sign Language signs to a teacher assistant social robot, RASA. This LfD architecture utilizes one-shot learning techniques and Convolutional Neural Network to learn to recognize and imitate a sign after seeing its demonstration (using a data glove) just once. Despite using a small, low diversity data set (~ 500 signs in 16 categories), the recognition module reached a promising 4-way accuracy of 70% on the test data and showed good potential for increasing the extensibility of sign vocabulary in sign language-based human–robot interactions. The expansibility and promising results of the one-shot Learning from Demonstration technique in this study are the main achievements of conducting such machine learning algorithms in social Human–Robot Interaction.

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“…A majority of the existing studies in a retail context are related to the implementation of robots for informing customers, such as guiding them and providing information about stores and products (e.g. Kamei et al, 2010;Glas et al, 2013;Zibafar et al, 2019). A second functionality that has been widely studied involves advertising and includes promoting products and stores (e.g.…”

Section: Theoretical Background 21 Current Insights On Service Robots In Retailmentioning

confidence: 99%

“…Service robots are increasingly being introduced in various services industries, such as healthcare (Esteban et al, 2017), hotels (Choi et al, 2019), restaurants (Manzocco, 2018) and retail services (Zibafar et al, 2019). According to Gartner's Hype Cycle, in which promising technologies for competitive advantage are identified and evaluated, (smart) robots have just started to climb the slope of inflated expectations (Gartner, 2020).…”

Section: Introductionmentioning

confidence: 99%

In or out? A field observational study on the placement of entertaining robots in retailing

Gauquier

Brengman

Willems

et al. 2021

IJRDM

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PurposeThe purpose of this paper is to empirically investigate the role of the placement (i.e. location) of humanoid service robots (HSRs) for entertainment applications in retailing by inspecting a multitude of performance metrics along the point-of-sale conversion funnel.Design/methodology/approachThe study was conducted using unobtrusive observations at a Belgian chocolate store. In total, 42 h of video observation material was collected and analyzed, with an even spread over three conditions: (1) an HSR placed outside, (2) an HSR inside the store and (3) a control condition (no robot stimuli). All passersby and their interactions with the robot and the store were systematically coded and compared.FindingsThe study found that the better placement of HSRs (inside or outside the store) is contingent on the goals the retailer prioritizes. When the goal is to create awareness and interest toward the store, the HSR should be placed outside, as it has double the stopping power. To induce consumers to enter the store, placement of the HSR inside the store is the better option. Ultimately, however, in terms of the number of transactions and total amount spent, outside placement of the HSR outperforms inside placement.Research limitations/implicationsThis study was not able to verify the internal emotional/cognitive state of the passersby, as the method relied on unobtrusive camera observations. A longitudinal research design would be desirable to exclude potential bias due to the novelty effect.Originality/valueWhile research on robots in retail services is emerging, this study is the first to provide insights on how retailers can decide on the placement of robots inside or outside the store, depending on the particular goals they are aiming to reach at the point of purchase.

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State-of-the-Art Visual Merchandising Using a Fashionable Social Robot: RoMa

Cited by 24 publications

References 30 publications

Gazing at Social Interactions Between Foraging and Decision Theory

Gazing at Social Interactions Between Foraging and Decision Theory

One-shot Learning from Demonstration Approach Toward a Reciprocal Sign Language-based HRI

In or out? A field observational study on the placement of entertaining robots in retailing

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