%0 Conference Paper %1 _lvarez_M_rquez_2020 %A Márquez, Jesús Omar Álvarez %A Ziegler, Jürgen %B Fourteenth ACM Conference on Recommender Systems %D 2020 %I ACM %K augmented-reality comparison decision-making exploration information interface recommender recsys2020 %P 180-189 %R 10.1145/3383313.3412266 %T In-Store Augmented Reality-Enabled Product Comparison and Recommendation %U https://doi.org/10.1145%2F3383313.3412266 %X We present an approach combining the AR-based presentation of product attributes in a physical retail store with recommendations for items only available online. The system supports users’ decisionmaking process by offering functions for comparing product features between items, both physical and online, and by providing recommendations based on selecting in-store products. The physical products may thus serve as anchors for forming the user’s preferences, also offering a richer and more engaging experience when exploring the products hands-on. Both objective product attributes as well as the visual appearance of a physical product are employed for generating recommendations from the online space. In this way, the advantages of online and in-store shopping can be combined, creating novel multi-channel opportunities for businesses. An empirical evaluation showed that the comparison and recommendation functions were appreciated by users, and hinted some possible benefits of a hybrid physical-online shopping support system. Despite the limitations of the study, there is sufficient evidence to consider this a viable approach worth to be further explored.

@inproceedings{_lvarez_M_rquez_2020, abstract = {We present an approach combining the AR-based presentation of product attributes in a physical retail store with recommendations for items only available online. The system supports users’ decisionmaking process by offering functions for comparing product features between items, both physical and online, and by providing recommendations based on selecting in-store products. The physical products may thus serve as anchors for forming the user’s preferences, also offering a richer and more engaging experience when exploring the products hands-on. Both objective product attributes as well as the visual appearance of a physical product are employed for generating recommendations from the online space. In this way, the advantages of online and in-store shopping can be combined, creating novel multi-channel opportunities for businesses. An empirical evaluation showed that the comparison and recommendation functions were appreciated by users, and hinted some possible benefits of a hybrid physical-online shopping support system. Despite the limitations of the study, there is sufficient evidence to consider this a viable approach worth to be further explored.}, added-at = {2020-11-28T18:22:56.000+0100}, author = {M{\'{a}}rquez, Jes{\'{u}}s Omar {\'{A}}lvarez and Ziegler, Jürgen}, biburl = {https://www.bibsonomy.org/bibtex/24aa652484984f1416c31be158def8a99/brusilovsky}, booktitle = {Fourteenth {ACM} Conference on Recommender Systems}, description = {In-Store Augmented Reality-Enabled Product Comparison and Recommendation | Fourteenth ACM Conference on Recommender Systems}, doi = {10.1145/3383313.3412266}, interhash = {040229d9ba4d2eb7d2de5ff6dfb509bd}, intrahash = {4aa652484984f1416c31be158def8a99}, keywords = {augmented-reality comparison decision-making exploration information interface recommender recsys2020}, month = sep, pages = {180-189}, publisher = {{ACM}}, timestamp = {2020-11-28T18:22:56.000+0100}, title = {In-Store Augmented Reality-Enabled Product Comparison and Recommendation}, url = {https://doi.org/10.1145%2F3383313.3412266}, year = 2020 }