A Narrative Approach to Human-Robot Interaction Prototyping for Companion Robots

© 2020 Kheng Lee Koay et al., published by De Gruyter This work is licensed under the Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/This paper presents a proof of concept prototype study for domestic home robot companions, using a narrative-based methodology based on the principles of immersive engagement and fictional enquiry, creating scenarios which are inter-connected through a coherent narrative arc, to encourage participant immersion within a realistic setting. The aim was to ground human interactions with this technology in a coherent, meaningful experience. Nine participants interacted with a robotic agent in a smart home environment twice a week over a month, with each interaction framed within a greater narrative arc. Participant responses, both to the scenarios and the robotic agents used within them are discussed, suggesting that the prototyping methodology was successful in conveying a meaningful interaction experience.Peer reviewe

Views from within a narrative : Evaluating long-term human-robot interaction in a naturalistic environment using open-ended scenarios

Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. Date of acceptance: 16/06/2014This article describes the prototyping of human–robot interactions in the University of Hertfordshire (UH) Robot House. Twelve participants took part in a long-term study in which they interacted with robots in the UH Robot House once a week for a period of 10 weeks. A prototyping method using the narrative framing technique allowed participants to engage with the robots in episodic interactions that were framed using narrative to convey the impression of a continuous long-term interaction. The goal was to examine how participants responded to the scenarios and the robots as well as specific robot behaviours, such as agent migration and expressive behaviours. Evaluation of the robots and the scenarios were elicited using several measures, including the standardised System Usability Scale, an ad hoc Scenario Acceptance Scale, as well as single-item Likert scales, open-ended questionnaire items and a debriefing interview. Results suggest that participants felt that the use of this prototyping technique allowed them insight into the use of the robot, and that they accepted the use of the robot within the scenarioPeer reviewe

Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration

Kheng Koay, Dag Sverre Syrdal and Kerstin Dautenhahn, 'Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration', paper presented at the IEEE International Symposium . Columbia University, New York City, New York, USA, 26-31 August 2016.This paper examines participants’ experiences of interacting with a robotic companion (agent) that has the ability to move its “mind” between different robotic embodiments to take advantage of the features and functionalities associated with the different embodiments in a process called agent migration. In particular, we focus on identifying factors that can help the companion retain its identity in different embodiments. This includes examining the clarity of the migration behaviour and how this behaviour may contribute to identity retention. Nine participants took part in a long-term study, and interacted with the robotic companion in the smart house twice-weekly over a period of 5 weeks. We used Narrative-based Integrated Episodic Scenario (NIES) framework for designing long-term interaction scenarios that provided habituation and intervention phases while conveying the impression of continuous long-term interaction. The results show that NEIS allows us to explore complex intervention scenarios and obtain a sense of continuity of context across the long-term study. The results also suggest that as participants become habituated with the companion, they found the realisation of migration signaling clearer, and felt more certain of the identity of the companion in later sessions, and that the most important factor for this was the agent’s continuation of tasks across embodiments. This paper is both empirical as well as methodological in nature.Non peer reviewedFinal Accepted Versio

TRAVEL PREDICTION APPLICATION

The present disclosure is directed to a method and system for predicting cardholder\u27s travel behavior using payment transaction data such as credit card transaction data. The method comprises receiving, by a server computer, a plurality of authorization request messages from a plurality of access devices. Thereafter, the method comprises storing, by the server computer, data relating to the plurality of authorization request messages. Further, the method comprises generating, by the server computer, a model from the stored data. Once the model is generated, the method comprises receiving, by the server computer, a request relating to a user or a - class of users. Thereafter, server computer determines a predicted travel behavior for the user, or the class of users using the model and sends a response to the request, the response comprising the predicted travel behavior

SMART PAYMENTS: METHOD AND SYSTEM FOR INTEGRATING STORED VALUE WALLETS WITH VISA INSTALMENTS SERVICE (VIS)

The present disclosure relates to a method and a system for integrating stored value wallets with a Visa Instalments Service (VIS). The present disclosure suggests uploading a Bank Identification Number (BIN) file including BINs eligible for an Equated Monthly Installment (EMI) payment and creating specific plans associated with the uploaded BINs. Thereafter, a cardholder selects a digital wallet which includes a stored value wallet for payment during the checkout process on an electronic commerce (e-commerce) merchant website or a mobile application. Once the selection process is successful, the present disclosure suggests initiating a VIS Application Program Interface (API) to facilitate comprehensive data exchange, wherein data includes, without limited to, primary account number, purchase amount, and wallet amount. After the initiation of the VIS API, the present disclosure suggests determining the best savings EMI plan by combining the VIS API data with an issuer server data. Subsequently, offering/presenting the determined EMI plan along with a suggested down-payment option to the cardholder. Further, the cardholder may actively select the offered EMI plan and proceed to finalize the financial transaction

TRAVEL PREDICTION APPLICATION

The present disclosure is directed to a method and system for predicting cardholder\u27s travel behavior using payment transaction data such as credit card transaction data. The method comprises receiving, by a server computer, a plurality of authorization request messages from a plurality of access devices. Thereafter, the method comprises storing, by the server computer, data relating to the plurality of authorization request messages. Further, the method comprises generating, by the server computer, a model from the stored data. Once the model is generated, the method comprises receiving, by the server computer, a request relating to a user or a - class of users. Thereafter, server computer determines a predicted travel behavior for the user, or the class of users using the model and sends a response to the request, the response comprising the predicted travel behavior