The Effectiveness of Self-Recommending Agents in Advancing Purchase Behavior Steps in Retail Marketing

Iwamoto, Tatsuya; Baba, Jun; Nishi, Kotaro; Unokuchi, Taishi; Endo, Daisuke; Nakanishi, Junya; Yoshikawa, Yuichiro; Ishiguro, Hiroshi

doi:10.1145/3472307.3484183

Cited by 7 publications

(2 citation statements)

References 15 publications

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“…Chao et al developed a service robot system that provides information on multiple stores and distributes flyers in a shopping mall [23]. Another study investigated the effectiveness of self-recommending agents at shopping malls [24]. Another work investigated the effects of a robot recommendation system that distributed flyers for surrounding shops in a shopping center [15].…”

Section: Related Workmentioning

confidence: 99%

An Animation Character Robot That Increases Sales

Matsumura¹,

Shiomi²

2022

Applied Sciences

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Performing the role of a shopping assistant is one promising application for social robots. Robot clerks can provide a richer experience for customers and increase sales; however, the scant opportunities for interaction with customers in real shopping environments is a typical drawback. We solve this problem by developing a unique networked salesclerk system that consists of a virtual agent that acts through the customer’s smartphone and a physical agent that performs as a robot salesclerk in an actual store environment. Toward this capability, in cooperation with Production I.G. Inc., an animation production company, we adopted a character named Tachikoma from “Ghost in the Shell: Stand Alone Complex” (commonly known as the S.A.C. series) when designing the appearance and features of both agents. We conducted a field test to investigate how our system contributed to the sales of Ghost in the Shell anime-themed products, and the results showed the advantages of our system for increasing sales.

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Section: Related Workmentioning

confidence: 99%

An Animation Character Robot That Increases Sales

Matsumura¹,

Shiomi²

2022

Applied Sciences

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“…The user simultaneously looks at both the product and the robot at the same time. An increase in the amount of time a user spends paying attention to a product affects interest and memory [14] [25].…”

Section: Introductionmentioning

confidence: 99%

Playful Recommendation: Sales Promotion That Robots Stimulate Pleasant Feelings Instead of Product Explanation

Iwamoto

Baba

Nakanishi

et al. 2022

IEEE Robot. Autom. Lett.

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Successful cases of robot sales promotions have been increasing. Users tend to make purchases when robots properly interact with users. Most robot interactions/recommendations are created using specific products and locations within the context. Therefore, developers have to prepare a new recommendation interaction each time with each new product, which creates difficulty in responding smoothly to store's requests.In this study, we propose Playful Recommendation, which is a situation-independent sales promotion method. This method stimulates pleasant emotions instead of presenting product information to the user, and the proposed method is less product-and location-dependent than other methods. Playful Recommendation was effective in two fieldworks. In both cases, the Playful Recommendation by the robot resulted in higher sales than the normal condition. Furthermore we have shown that the proposed method can be applied to a variety of robots and has the possibility of promoting products even when the recommended products change.

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