ABSTRACT
Augmented reality technology has experienced great improvement in recent years and it has been successfully applied to industry and entertainment settings. However, its application in everyday contexts such as shopping is still very limited. One of the requirements to seamlessly incorporate augmented reality into everyday tasks is to find intuitive, natural methods to make use of it. Due to the inherent capabilities of augmented reality to work as a visual aid to explore and extend the knowledge a user has of the surroundings, this paper proposes the combination of AR technology and product advisors in a novel approach for product comparison. The user's awareness of the differences between multiple physically present objects is enhanced through virtual augmentations, supporting an intuitive way of comparing two or more products while shopping. To assess the validity of the concept, a prototype for an AR-based shopping assistant for comparing vacuum cleaners has been implemented and evaluated in a user study, testing different methods of visual comparison and interaction.
- Junho Ahn, James Williamson, Mike Gartrell, Richard Han, Qin Lv, and Shivakant Mishra. 2015. Supporting Healthy Grocery Shopping via Mobile Augmented Reality. ACM Trans. Multimedia Comput. Commun. Appl. 12, 1s (Oct. 2015), 16:1--16:24. Google ScholarDigital Library
- Catherine Alberola, Götz Walter, and Henning Brau. 2018. Creation of a Short Version of the User Experience Questionnaire UEQ. i-com 17, 1 (apr 2018), 57--64.Google Scholar
- G.A. Alvarez and P. Cavanagh. 2004. The Capacity of Visual Short-Term Memory is Set Both by Visual Information Load and by Number of Objects. Psychological Science 15, 2 (feb 2004), 106--111.Google ScholarCross Ref
- John Brooke and others. 1996. SUS-A quick and dirty usability scale. Usability evaluation in industry 189, 194 (1996), 4--7.Google Scholar
- Steve Brown and David Roth. 2015. The Future of Retail: Shopping and the Smart Shelf. Intel (2015). https://www.intel.com/content/ www/uk/en/retail/digital-retail-futurecasting-report.htmlGoogle Scholar
- D. Chatzopoulos, C. Bermejo, Z. Huang, and P. Hui. 2017. Mobile Augmented Reality Survey: From Where We Are to Where We Go. IEEE Access PP, 99 (2017), 1--1.Google Scholar
- Rong Chen, Li Peng, and Yi Qin. 2010. Supermarket shopping guide system based on Internet of things. In IET International Conference on Wireless Sensor Network 2010 (IET-WSN 2010). IET.Google ScholarCross Ref
- Augusto Esteves, David Verweij, Liza Suraiya, Rasel Islam, Youryang Lee, and Ian Oakley. 2017. SmoothMoves: Smooth Pursuits Head Movements for Augmented Reality. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (UIST '17). ACM, New York, NY, USA, 167--178. Google ScholarDigital Library
- Dedre Gentner and José Medina. 1997. Comparison and the Development of Cognition and Language. Cognitive Studies 4, 1 (March 1997), 1_112--1_149.Google Scholar
- Pierre Georgel, Pierre Schroeder, Selim Benhimane, Stefan Hinterstoisser, Mirko Appel, and Nassir Navab. 2007. An Industrial Augmented Reality Solution For Discrepancy Check. In Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR '07). IEEE Computer Society, Washington, DC, USA, 1--4. Google ScholarDigital Library
- Michael Gleicher, Danielle Albers, Rick Walker, Ilir Jusufi, Charles D. Hansen, and Jonathan C. Roberts. 2011. Visual comparison for information visualization. Information Visualization 10, 4 (sep 2011), 289--309. Google ScholarDigital Library
- Francisco Gutiérrez, Katrien Verbert, and Nyi Nyi Htun. 2018. PHARA: An Augmented Reality Grocery Store Assistant. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '18). ACM, New York, NY, USA, 339--345. Google ScholarDigital Library
- Marc Hassenzahl, Michael Burmester, and Franz Koller. 2003. AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualität. In Mensch & Computer 2003: Interaktion in Bewegung, Gerd Szwillus and Jürgen Ziegler (Eds.). Vieweg+Teubner Verlag, Wiesbaden, 187--196.Google Scholar
- Toby Hopp and Harsha Gangadharbatla. 2016. Novelty Effects in Augmented Reality Advertising Environments: The Influence of Exposure Time and Self-Efficacy. Journal of Current Issues & Research in Advertising 37, 2 (July 2016), 113--130.Google ScholarCross Ref
- Tseng-Lung Huang and Shuling Liao. 2015. A model of acceptance of augmented-reality interactive technology: the moderating role of cognitive innovativeness. Electronic Commerce Research 15, 2 (June 2015), 269--295. Google ScholarDigital Library
- R Jakob. 1998. The use of eye movements in human-computer interaction techniques: what you look at is what you get. Readings in intelligent user interfaces (1998), 65--83. Google ScholarDigital Library
- Gerrit Kahl, Lübomira Spassova, Johannes Schöning, Sven Gehring, and Antonio Krüger. 2011. IRL SmartCart - a User-adaptive Contextaware Interface for Shopping Assistance. In Proceedings of the 16th International Conference on Intelligent User Interfaces (IUI '11). ACM, New York, NY, USA, 359--362. Google ScholarDigital Library
- Evangelos Karapanos, John Zimmerman, Jodi Forlizzi, and Jean-Bernard Martens. 2009. User experience over time. In Proceedings of the 27th international conference on Human factors in computing systems - CHI 09. ACM Press. Google ScholarDigital Library
- Mikko Kytö, Barrett Ens, Thammathip Piumsomboon, Gun A. Lee, and Mark Billinghurst. 2018. Pinpointing: Precise Head- and Eye-Based Target Selection for Augmented Reality. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, 81:1--81:14. Google ScholarDigital Library
- Kelvin J. Lancaster. 1966. A New Approach to Consumer Theory. Journal of Political Economy 74, 2 (April 1966), 132--157.Google ScholarCross Ref
- Mark R. Mine. 1995. Virtual Environment Interaction Techniques. Technical Report. University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Google Scholar
- Jakob Nielsen. 1994. Usability engineering. Elsevier.Google ScholarDigital Library
- Zulqarnain Rashid, Rafael Pous, Joan Melià-Seguí, and Marc MorenzaCinos. 2014. Mobile Augmented Reality for Browsing Physical Spaces. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (UbiComp '14 Adjunct). ACM, New York, NY, USA, 155--158. Google ScholarDigital Library
- Alexandra Rese, Daniel Baier, Andreas Geyer-Schulz, and Stefanie Schreiber. 2017. How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting and Social Change 124 (Nov. 2017), 306--319.Google Scholar
- Lucas Roitman, Jeff Shrager, and Terry Winograd. 2017. A Comparative Analysis of Augmented Reality Technologies and their Marketability in the Consumer Electronics Segment. Journal of Biosensors & Bioelectronics 08, 01 (2017).Google ScholarCross Ref
- Michael Schneider. 2003. A Smart Shopping Assistant utilising Adaptive Plan Recognition. ABIS 2003 -- 11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen" (2003). http://dl.gi.de/handle/20.500.12116/5123Google Scholar
- Arthur Tang, Charles Owen, Frank Biocca, and Weimin Mou. 2003. Comparative effectiveness of augmented reality in object assembly. In Proceedings of the conference on Human factors in computing systems - CHI '03. ACM Press. Google ScholarDigital Library
- C. Tominski, C. Forsell, and J. Johansson. 2012. Interaction Support for Visual Comparison Inspired by Natural Behavior. IEEE Transactions on Visualization and Computer Graphics 18, 12 (dec 2012), 2719--2728. Google ScholarDigital Library
- Wei Zhu and Charles B. Owen. 2008. Design of the PromoPad: An Automated Augmented-Reality Shopping Assistant. JOEUC 20 (2008), 41--56.Google Scholar
Index Terms
- Augmented-Reality-Enhanced Product Comparison in Physical Retailing
Recommendations
Haptics in Augmented Reality
ICMCS '99: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2An augmented reality system merges synthetic sensory information into a user's perception of a three-dimensional environment. An important performance goal for an augmented reality system is that the user perceives a single seamless environment. In most ...
Augmented reality as perceptual reality
VSMM'06: Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical SystemsAs shown in Paul Milgram et al’s Reality-Virtuality Continuum (1994), Augmented Reality occupies a very unique status in the spectrum of Mixed Reality. Unlike Virtual Reality, which is completely made up of the virtual and has been the most important ...
Multimodal augmented reality: the norm rather than the exception
MVAR '16: Proceedings of the 2016 workshop on Multimodal Virtual and Augmented RealityAugmented reality (AR) is commonly seen as a technology that overlays virtual imagery onto a participant's view of the world. In line with this, most AR research is focused on what we see. In this paper, we challenge this focus on vision and make a case ...
Comments