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

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Abstract

Social Robots have the potential to attract people and this capability can be used to develop robots that can come into the retail market and enhance visual merchandising. This paper investigates important criteria to use in the design of a robot that can be utilized to promote customer appeal in the fashion industry. RoMa is a novel robotic mannequin that has been developed with the consideration of professional showcase characteristics and a primary feature of interaction with people. Since real and perceptive human–robot interaction relies on the social robot’s sensitivity to its environmental information, RoMa is able to localize the people around itself. An empirical test was conducted to demonstrate the robot’s acceptability and performance. In this test the robot was outfitted and placed in a showcase at an apparel store where prospective customer behavior was studied via a camera, microphone and questionnaire. The results indicate that RoMa was able to increase the number of people who looked at the showcase by 280% during the day, which validates the idea of visual merchandising and sales enhancement. In addition, with its design and adequate affinity RoMa was able to attract customer attention from the viewpoints of anthropology, movements, and likeability.

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Notes

  1. Multi-Layer Perceptron.

References

  1. Alemi M, Meghdari A, Ghazisaedy M (2015) The impact of social robotics on L2 learners’ anxiety and attitude in English vocabulary acquisition. Int J Social Robot 7(4):523–535

    Article  Google Scholar 

  2. Taheri A, Meghdari A, Alemi M, Pouretemad H (2017) Clinical interventions of social humanoid robots in the treatment of a set of high-and low-functioning autistic Iranian twins. Sci Iran Trans B Mech Eng 24(6)

  3. Taheri A, Meghdari A, Alemi M, Pouretemad H (2018) Human–robot interaction in autism treatment: a case study on three pairs of autistic children as twins, siblings, and classmates. Int J Social Robot 10(1):93–113

    Article  Google Scholar 

  4. Zibafar A, Ghaffari S, Vossoughi G (2016) Achieving transparency in series elastic actuator of sharif lower limb exoskeleton using LLNF-NARX model. In: Robotics and mechatronics (ICROM), 4th international conference on. IEEE, pp 398–403

  5. Pillai R, Iqbal A, Umer H, Maqbool A, Sunil N (2011) Design, effectiveness and role of visual merchandising in creating customer appeal

  6. Khandai S, Agrawal B, Gulla A (2012) Visual merchandising as an antecedent to impulse buying: an Indian perspective. Int J Bus Manag Stud 1(1):267–277

    Google Scholar 

  7. Christopoulou M (2011) Exploring shop window displays. Art Educ 64(3):25–32

    Article  Google Scholar 

  8. Clement J (2007) Visual influence on in-store buying decisions: an eye-track experiment on the visual influence of packaging design. J Mark Manag 23(9–10):917–928

    Article  Google Scholar 

  9. Pegler MM (2006) Visual merchandising and display. Fairchild Publications, New York

    Google Scholar 

  10. https://www.popai.co.uk/

  11. Meghdari A, Alemi M, Ghazisaedy et al. (2013) Applying robots as teaching assistant in EFL classes at Iranian middle-schools. In: Proceedings of the international conference on education and modern educational technologies, Venice, Italy

  12. Meghdari A, Alemi M, Khamooshi M, Amoozandeh A, Shariati A, Mozafari B (2016) Conceptual design of a social robot for pediatric hospitals. In: Robotics and mechatronics (ICROM), 4th international conference on. IEEE, pp 566–571

  13. Zakipour M, Meghdari A, Alemi M (2016) RASA: a low-cost upper-torso social robot acting as a sign language teaching assistant. In: International conference on social robotics. Springer, Berlin, pp 630–639

  14. Grewal D, Roggeveen AL, Nordfält J (2017) The future of retailing. J Retail 93(1):1–6

    Article  Google Scholar 

  15. Darrat AA, Darrat MA, Amyx D (2016) How impulse buying influences compulsive buying: the central role of consumer anxiety and escapism. J Retail Consum Serv 31:103–108

    Article  Google Scholar 

  16. Shiomi M, Shinozawa K, Nakagawa Y et al (2013) Recommendation effects of a social robot for advertisement-use context in a shopping mall. Int J Soc Robot 5(2):251–262

    Article  Google Scholar 

  17. Kanda T, Shiomi M, Miyashita Z, Ishiguro H, Hagita N (2009) An affective guide robot in a shopping mall. In: Proceedings of the 4th ACM/IEEE international conference on human–robot interaction. ACM, pp 173–180

  18. Jain V, Sharma A, Narwal P (2012) Impact of visual merchandising on consumer behavior towards women’s apparel. Int J Res Manag 5(2):106–117

    Google Scholar 

  19. Van Doorn J, Mende M, Noble SM et al (2017) Domo arigato Mr. Roboto: emergence of automated social presence in organizational frontlines and customers’ service experiences. J Serv Res 20(1):43–58

    Article  Google Scholar 

  20. Cant MC, Hefer Y (2014) Visual merchandising displays effect-or not-on consumers: the predicament faced by apparel retailers. J Bus Retail Manag Res 8(2)

  21. Fretz M, Franinovic K, Rheiner M (2011) Interactive shop Window. University of the Arts Zurich

  22. Hespanhol L, Dalsgaard P (2015) Social interaction design patterns for urban media architecture. In: IFIP conference on human–computer interaction. Springer, Berlin, pp 596–613

  23. Mojgan G, Marvin P, Wong C, Wallace JR, Scott SD (2018) Increasing passersby engagement with public large interactive displays: a study of proxemics and conation

  24. Müller J, Walter R, Bailly G, Nischt M, Alt F (2012) Looking glass: a field study on noticing interactivity of a shop window. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 297–306

  25. Mori M, MacDorman KF, Kageki N (2012) The uncanny valley [from the field]. IEEE Robot Autom Mag 19(2):98–100

    Article  Google Scholar 

  26. Złotowski JA, Sumioka H, Nishio S, Glas DF, Bartneck C, Ishiguro H (2018) Persistence of the Uncanny Valley. Geminoid Studies: Science and Technologies for Humanlike Teleoperated Androids, 163–187

  27. Meghdari A, Alemi M, Pour AG, Taheri A (2016) Spontaneous human-robot emotional interaction through facial expressions. In: International conference on social robotics. Springer, Berlin, pp 351–361

  28. Alemi M, Meghdari A, Ghazisaedy M (2014) Employing humanoid robots for teaching English language in Iranian junior high-schools. Int J Humanoid Rob 11(03):1450022

    Article  Google Scholar 

  29. https://spectrum.ieee.org/automaton/robotics/humanoids/040310-geminoid-f-hiroshi-ishiguro-unveils-new-smiling-female-android

  30. http://www.flower-robotics.com/english/robots.html

  31. Saffari E, Meghdari A, Vazirnezhad B, Alemi M (2015) Ava (A Social Robot): design and performance of a robotic hearing apparatus. In: International conference on social robotics. Springer, Berlin, pp 440–450

  32. Mavridis N (2015) A review of verbal and non-verbal human–robot interactive communication. Robot Auton Syst 63:22–35

    Article  MathSciNet  Google Scholar 

  33. Argentieri S, Danès P, Souères P (2015) A survey on sound source localization in robotics: from binaural to array processing methods. Comput Speech Lang 34(1):87–112

    Article  Google Scholar 

  34. Algazi VR, Duda RO, Thompson DM, Avendano C (2001) The cipic hrtf database. In: Applications of signal processing to audio and acoustics, IEEE Workshop on the. IEEE, pp 99–102

  35. Nakadai K, Matsui T, Okuno HG, Kitano H (2000) Active audition system and humanoid exterior design. In: Intelligent robots and systems, proceedings. IEEE/RSJ international conference on. IEEE, pp 1453–1461

  36. Nakadai K, Okuno HG, Kitano H (2001) Epipolar geometry based sound localization and extraction for humanoid audition. In: Intelligent robots and systems. Proceedings. IEEE/RSJ international conference on. IEEE, pp 1395–1401

  37. Nakadai K et al (2003) Applying scattering theory to robot audition system: Robust sound source localization and extraction. In: Intelligent robots and systems. Proceedings. IEEE/RSJ international conference on. IEEE, pp 1147–1152

  38. Tsagarakis NG, Metta G et al (2007) iCub: the design and realization of an open humanoid platform for cognitive and neuroscience research. Adv Robot 21(10):1151–1175

    Article  Google Scholar 

  39. Kim U-H, Nakadai K, Okuno HG (2013) Improved sound source localization and front-back disambiguation for humanoid robots with two ears. In: International conference on industrial, engineering and other applications of applied intelligent systems. Springer, Berlin, pp 282–291

  40. Shafiee S, Almasganj F, Vazirnezhad B, Jafari A (2010) A two-stage speech activity detection system considering fractal aspects of prosody. Pattern Recognit Lett 31(9):936–948

    Article  Google Scholar 

  41. Alemi M, Meghdari A, Saffari E et al. (2017) RoMa: a hi-tech robotic mannequin for the fashion industry. In: International conference on social robotics. Springer, Berlin, pp 209–219

  42. https://www.salehoo.com

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Acknowledgements

This project was funded in part by the Iranian National Science Foundation (INSF: http://www.insf.org) and the Office of the Vice-President in Science and Technology, Iran. We also appreciate the assistance of Mr. Amirmahdi Hassani during the practical tests of RoMa performing in the clothing store.

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Correspondence to Minoo Alemi or Ali Meghdari.

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Appendix

Appendix

The survey questionnaire for RoMa

Age: …… Job: …………………..

What are your priority factors when purchasing clothes?

the way the dress fits the ins and outs of the body

1

2

3

4

5

Dress material

1

2

3

4

5

Dress style

1

2

3

4

5

What is your preferred method for purchasing clothes?

Online shopping

1

2

3

4

5

Seeing clothes on a mannequin

1

2

3

4

5

Buying cloth after wearing

1

2

3

4

5

Would you buy clothes without first trying them on? Yes No

What is your idea about the design, movements, and features of the robot mannequin? What is your feeling about it? Do you feel an affinity with it?

Answer the above questions through the following parameters:

Natural

5

4

3

2

1

Unnatural

Human like

5

4

3

2

1

Machine like

Lifelike

5

4

3

2

1

Unlifelike

Relaxing

5

4

3

2

1

Anxiety

Loveable

5

4

3

2

1

Fearsome

Kind

5

4

3

2

1

Unkind

Do you think that the robot mannequin has any effect on you remembering the brand of the cloth store? Yes     No

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Zibafar, A., Saffari, E., Alemi, M. et al. State-of-the-Art Visual Merchandising Using a Fashionable Social Robot: RoMa. Int J of Soc Robotics 13, 509–523 (2021). https://doi.org/10.1007/s12369-019-00566-3

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  • DOI: https://doi.org/10.1007/s12369-019-00566-3

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