Ev Ortamında İç Mekan Bileşenlerine Yönelik Robot Süpürge Kullanıcılarının Müdahaleleri ve Beklentileri: Benimseme Teorisi Çerçevesinde Nitel Bir Araştırma

Öz

Robot süpürgeler, geleneksel elektrikli süpürgelere alternatif olarak evlerde giderek daha fazla benimsenmektedir. Ancak mevcut literatür, kullanıcıların bu cihazları mobilyalar, halılar ve eşiklerle uyumlu hâle getirmek için nasıl adapte ettiklerine dair sınırlı bilgi sunmaktadır. Bu çalışma, kullanıcıların robot süpürgeleri ev ortamlarına entegre ederken karşılaştıkları zorlukları ve uyguladıkları yaratıcı müdahaleleri araştırmayı amaçlamaktadır. Çalışmada 16 katılımcıyla çevrimiçi görüşmeler yapılmış ve veriler tematik analiz yöntemiyle incelenmiştir. Bulgular, kullanıcıların robot süpürgelerinin verimliliğini artırmak için mobilya, halı ve eşik yüksekliklerini ayarlamak gibi çeşitli stratejiler kullandığını ortaya koymaktadır. Ayrıca, kullanıcılar gelecekteki mobilya ve halı seçimlerinde uyumluluğu dikkate almaktadır. Bu sonuçlar, kullanıcıların teknoloji adaptasyon sürecinde aktif bir rol oynadığını, yeni cihazları yaşam ortamlarına göre özelleştirdiğini ve böylece robot süpürge tasarımı ile kullanıcı deneyiminin geliştirilmesine dair değerli bilgiler sağladığını göstermektedir.

Anahtar Kelimeler

• Benimseme kuramı
• İç mimarlık
• İç mekân bileşenleri
• Kullanıcı beklentileri
• Robot süpürge

INTERVENTIONS AND EXPECTATIONS OF ROBOT VACUUM CLEANER USERS TOWARDS INTERIOR COMPONENTS IN THE HOME ENVIRONMENT: A QUALITATIVE RESEARCH WITHIN THE FRAMEWORK OF ADOPTION THEORY

Abstract

Robot vacuum cleaners are increasingly being adopted in homes as alternatives to traditional electric vacuums. However, existing literature provides limited insights into how users adapt these devices to align with furniture, carpets, and thresholds. This study aims to explore the challenges users face when integrating robot vacuums into their home environments and the creative interventions they employ. Online interviews were conducted with 16 participants, and the data were analysed using thematic analysis. The findings reveal that users employ various strategies, such as adjusting furniture, carpet, and threshold heights, to enhance the efficiency of their robot vacuums. Moreover, users consider compatibility when selecting future furniture and carpets. These results indicate that users play an active role in the technology adaptation process, customizing new devices to fit their living contexts, thereby offering valuable insights for robot vacuum design and improvements in user experience.

Keywords

• Adoption theory
• Interior components
• Interior design
• Robot vacuum cleaner
• User expectations

Kaynakça

1. Ellsworth, J. B. (2015). Early adopters. In J. M. Spector (Ed.), The SAGE Encyclopedia of Educational Technology: Vol. 1 (pp. 243-245). Thousand Oaks, CA: Sage Publications.
2. Darling, K. (2021). The new breed: what our history with animals reveals about our future with robots. Henry Holt and Company.
3. Deierlein, A. L., Grayon, A. R., Zhu, X., Sun, Y., Liu, X., Kohlasch, K., & Stein, C. R. (2022). Personal care and household cleaning product use among pregnant women and new mothers during the covıd-19 pandemic. International Journal Of Environmental Research and Public Health, 19(9), 5645
4. Fink, J., Bauwens, V., Kaplan, F., & Dillenbourg, P. (2013). Living with a Vacuum Cleaning Robot: A Six Month Ethnographic Study. International Journal of Social Robotics, 5(3), 389–408.
5. Forlizzi J, DiSalvo C (2006). Service robots in the domestic environment: a study of the Roomba vacuum in the home. In: Proceedings of the ACM/IEEE conference on human-robot interaction 2006, Salt Lake City, Utah, USA, pp 265–285
6. Hendriks, B., Meerbeek, B., Boess, S., Pauws, S., & Sonneveld, M. (2011). Robot vacuum cleaner personality and behavior. International Journal of Social Robotics, 3, 187-195.
7. Hisahara, H., Ishii, Y., Ota, M., Ogitsu, T., Takemura, H., & Mizoguchi, H. (2014). Human Avoidance Function for Robotic Vacuum Cleaner through Use of Environmental Sensors: Roomba® Making Way for Humans. 5th International Conference on Intelligent Systems, Modelling and Simulation (ss. 64-67). IEEE.
8. Kramer, J., & Scheutz, M. (2007). Development environments for autonomous mobile robots: A survey. Autonomous Robots, 22, 101-132.

9. Li, A., Kacprzak, D., & Hu, A. P. (2022). Wireless charger design of robot vacuum cleaners with power repeaters for high compatibility. Journal of Electromagnetic Analysis and Applications, 14(5), 47-64.
10. Önal, O. (2022). Investigating user experiences with domestic service robots through metaphors: The case of robot vacuum cleaners. [Unpublished Master's thesis], Istanbul Technical University.
11. Prassler, E., Ritter, A., Schaeffer, C., & Fiorini, P. (2000). A short history of cleaning robots. Autonomous Robots, 9, 211-226.
12. Quigley, M., Gerkey, B., Conley, K., Faust, J., Foote, T., Leibs, J., Berger, E., Wheeler, R., & Ng, A. Y. (2009). ROS: An Open-source Robot Operating System. IEEE International Conference on Robotics and Automation Workshop on Open Source Software. IEEE.
13. Rapa, C. I., Dephtios, E., Mariangga, C., & Patiung, N. (2022). A design and build a robot vacuum cleaner. Journal of Physics: Conference Series Vol. 2394(1), p. 012024. IOP Publishing.
14. Rogers, E. M. (2003). Diffusion of innovations (5th eşd.). New York, NY: Free Press.
15. Park, K., & Jung, E. C. (2022). How can humans and robots live together?: The 5 types of human-robot relationship. In International Conference on Intelligent Human Computer Interaction (pp. 225-229). Cham: Springer Nature Switzerland.
16. Surry, D. W. (2015). Predicting change and adoption of technology innovations. In J. M. Spector (Ed.), The Sage Encyclopedia of Educational Technology: Vol. 2. (pp.584-587). Thousand Oaks, CA: Sage Publications.
17. Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625-649.
18. Sung J, Grinter RE, Christensen HI (2010). Domestic robot ecology: an initial framework to unpack long-term acceptance of robots at home. Int J Soc Robot 2:417–429
19. Ulrich, I., Mondada, F., & Nicoud, J. D. (1997). Autonomous vacuum cleaner. Robotics and Autonomous Systems, 19(3-4), 233-245.
20. Ulsmåg, B. A. (2023). Private ınformation exposed by the use of robot vacuum cleaner in smart environments [Unpublished Master's thesis], Norwegian University of Science and Technology.
21. Wellendorf, K., Søilen, K., & Veel, K. (2022). Calm surveillance in the leaky home: living with a robot vacuum cleaner. Automating Visuality: The Image Beyond Representation, edited by Dominique Routhier, Lila Lee-Morrison, and Kathrin Maurer. Special issue, MAST: The Journal of Media Art Study and Theory, 3(1), 41-62.
22. Yapıcı, N. B. (2022). The effect of human-robot interaction on design and use process of home robots. [Unpublished Doctoral dissertation], Izmir Institute of Technology.
23. Zeng, Z., Chen, P. J., & Lew, A. A. (2020). From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724-734.