{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:31:39Z","timestamp":1743067899752,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":42,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819987177"},{"type":"electronic","value":"9789819987184"}],"license":[{"start":{"date-parts":[[2023,12,3]],"date-time":"2023-12-03T00:00:00Z","timestamp":1701561600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,3]],"date-time":"2023-12-03T00:00:00Z","timestamp":1701561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-8718-4_15","type":"book-chapter","created":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T18:02:07Z","timestamp":1701540127000},"page":"171-181","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Measuring Willingness to Accept Social Robot\u2019s Recommendations (WASRR)"],"prefix":"10.1007","author":[{"given":"Isha","family":"Kharub","sequence":"first","affiliation":[]},{"given":"Michael","family":"Lwin","sequence":"additional","affiliation":[]},{"given":"Aila","family":"Khan","sequence":"additional","affiliation":[]},{"given":"Omar","family":"Mubin","sequence":"additional","affiliation":[]},{"given":"Zhao","family":"Zou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,3]]},"reference":[{"issue":"3","key":"15_CR1","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1080\/14616688.2020.1762118","volume":"22","author":"Z Zeng","year":"2020","unstructured":"Zeng, Z., Chen, P.-J., Lew, A.A.: From high-touch to high-tech: COVID-19 drives robotics adoption. Tour. Geogr. 22(3), 724\u2013734 (2020)","journal-title":"Tour. Geogr."},{"key":"15_CR2","unstructured":"Maximise Market Research, Social Robots Market: Global Industry Analysis and Forecast (2023\u20132029). Maximise Market Research (2023)"},{"key":"15_CR3","unstructured":"Stipes, C.: Robots and artificial intelligence present challenges, opportunities for hospitality industry (2019). https:\/\/uh.edu\/news-events\/stories\/2019\/february-2019\/02252019-robot-hospitality.php. Accessed 13 July 2023"},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1108\/JOSM-04-2018-0119","volume":"29","author":"J Wirtz","year":"2018","unstructured":"Wirtz, J., et al.: Brave new world: service robots in the frontline. J. Serv. Manage. 29, 907\u2013931 (2018)","journal-title":"J. Serv. Manage."},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Hegel, F., et al.: Understanding social robots. In: 2009 Second International Conferences on Advances in Computer-Human Interactions. IEEE, Washington (2009)","DOI":"10.1109\/ACHI.2009.51"},{"key":"15_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2022.101993","volume":"70","author":"L Aymerich-Franch","year":"2022","unstructured":"Aymerich-Franch, L., Ferrer, I.: Liaison, safeguard, and well-being: analyzing the role of social robots during the COVID-19 pandemic. Technol. Soc. 70, 101993 (2022)","journal-title":"Technol. Soc."},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Kilichan, R., Yilmaz, M.: Artificial intelligence and robotic technologies in tourism and hospitality industry. Erciyes \u00dcniversitesi Sosyal Bilimler Enstit\u00fcs\u00fc Dergisi (50), 353\u2013380 (2020)","DOI":"10.48070\/erusosbilder.838193"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Herse, S., et al.: Bon appetit! robot persuasion for food recommendation. In: Companion of the 2018 ACM\/IEEE International Conference on Human-Robot Interaction (2018)","DOI":"10.1145\/3173386.3177028"},{"issue":"5","key":"15_CR9","doi-asserted-by":"publisher","first-page":"1912","DOI":"10.3390\/jtaer16050107","volume":"16","author":"N Yoon","year":"2021","unstructured":"Yoon, N., Lee, H.-K.: AI recommendation service acceptance: assessing the effects of perceived empathy and need for cognition. J. Theor. Appl. Electron. Commer. Res. 16(5), 1912\u20131928 (2021)","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"issue":"2","key":"15_CR10","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.jretai.2004.04.001","volume":"80","author":"S Senecal","year":"2004","unstructured":"Senecal, S., Nantel, J.: The influence of online product recommendations on consumers\u2019 online choices. J. Retail. 80(2), 159\u2013169 (2004)","journal-title":"J. Retail."},{"issue":"4","key":"15_CR11","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1016\/j.dss.2012.12.024","volume":"55","author":"VY Yoon","year":"2013","unstructured":"Yoon, V.Y., et al.: Assessing the moderating effect of consumer product knowledge and online shopping experience on using recommendation agents for customer loyalty. Decis. Support. Syst. 55(4), 883\u2013893 (2013)","journal-title":"Decis. Support. Syst."},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.dss.2015.02.006","volume":"72","author":"M Scholz","year":"2015","unstructured":"Scholz, M., et al.: Measuring consumers\u2019 willingness to pay with utility-based recommendation systems. Decis. Support. Syst. 72, 60\u201371 (2015)","journal-title":"Decis. Support. Syst."},{"issue":"2","key":"15_CR13","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/0749-5978(91)90020-T","volume":"50","author":"I Ajzen","year":"1991","unstructured":"Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179\u2013211 (1991)","journal-title":"Organ. Behav. Hum. Decis. Process."},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Wang, X., Lu, Z., Yin, M.: Will you accept the AI recommendation? Predicting human behavior in AI-assisted decision making. In: Proceedings of the ACM Web Conference 2022 (2022)","DOI":"10.1145\/3485447.3512240"},{"key":"15_CR15","unstructured":"Andrasen, A.; Attitudes and customer behavior; a decision model. Perspect. Consum. Behav. (1968)"},{"key":"15_CR16","doi-asserted-by":"publisher","first-page":"103142","DOI":"10.1016\/j.jretconser.2022.103142","volume":"70","author":"X Hu","year":"2023","unstructured":"Hu, X., et al.: Can in-store recommendations for online-substitutive products integrate online and offline channels? J. Retail. Consum. Serv. 70, 103142 (2023)","journal-title":"J. Retail. Consum. Serv."},{"issue":"2","key":"15_CR17","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s12369-018-0469-4","volume":"10","author":"S Rossi","year":"2018","unstructured":"Rossi, S., Staffa, M., Tamburro, A.: Socially assistive robot for providing recommendations: comparing a humanoid robot with a mobile application. Int. J. Soc. Robot. 10(2), 265\u2013278 (2018)","journal-title":"Int. J. Soc. Robot."},{"issue":"4","key":"15_CR18","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/j.chb.2010.01.006","volume":"26","author":"T Kowatsch","year":"2010","unstructured":"Kowatsch, T., Maass, W.: In-store consumer behavior: how mobile recommendation agents influence usage intentions, product purchases, and store preferences. Comput. Hum. Behav. 26(4), 697\u2013704 (2010)","journal-title":"Comput. Hum. Behav."},{"key":"15_CR19","unstructured":"Mordor Intelligence LLP, Recommendation Engine Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026). Report Linker, pp. 1\u2013166 (2021)"},{"key":"15_CR20","doi-asserted-by":"crossref","unstructured":"Ansari, A., Essegaier, S., Kohli, R.: Internet recommendation systems. SAGE Publications Sage CA, Los Angeles (2000)","DOI":"10.1509\/jmkr.37.3.363.18779"},{"issue":"3","key":"15_CR21","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.jretconser.2010.03.005","volume":"17","author":"D Baier","year":"2010","unstructured":"Baier, D., St\u00fcber, E.: Acceptance of recommendations to buy in online retailing. J. Retail. Consum. Serv. 17(3), 173\u2013180 (2010)","journal-title":"J. Retail. Consum. Serv."},{"issue":"4","key":"15_CR22","first-page":"31","volume":"110","author":"PB Thorat","year":"2015","unstructured":"Thorat, P.B., Goudar, R.M., Barve, S.: Survey on collaborative filtering, content-based filtering and hybrid recommendation system. Int. J. Comput. Appl. 110(4), 31\u201336 (2015)","journal-title":"Int. J. Comput. Appl."},{"key":"15_CR23","unstructured":"Cervone, F., et al.: Comparing a social robot and a mobile application for movie recommendation: a pilot study. In: WOA (2015)"},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Woiceshyn, L., et al.: Personalized clothing recommendation by a social robot. In: 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). IEEE (2017)","DOI":"10.1109\/IRIS.2017.8250118"},{"key":"15_CR25","first-page":"1","volume":"51","author":"J Holth\u00f6wer","year":"2022","unstructured":"Holth\u00f6wer, J., van Doorn, J.: Robots do not judge: service robots can alleviate embarrassment in service encounters. J. Acad. Mark. Sci. 51, 1\u201318 (2022)","journal-title":"J. Acad. Mark. Sci."},{"issue":"8","key":"15_CR26","doi-asserted-by":"publisher","first-page":"2613","DOI":"10.1108\/IJCHM-09-2019-0798","volume":"32","author":"HH Shin","year":"2020","unstructured":"Shin, H.H., Jeong, M.: Guests\u2019 perceptions of robot concierge and their adoption intentions. Int. J. Contemp. Hosp. Manag. 32(8), 2613\u20132633 (2020)","journal-title":"Int. J. Contemp. Hosp. Manag."},{"issue":"2","key":"15_CR27","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s12369-013-0180-4","volume":"5","author":"M Shiomi","year":"2013","unstructured":"Shiomi, M., et al.: Recommendation effects of a social robot for advertisement-use context in a shopping mall. Int. J. Soc. Robot. 5(2), 251\u2013262 (2013)","journal-title":"Int. J. Soc. Robot."},{"key":"15_CR28","doi-asserted-by":"crossref","unstructured":"Herse, S., et al.: Do you trust me, blindly? Factors influencing trust towards a robot recommender system. In: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE (2018)","DOI":"10.1109\/ROMAN.2018.8525581"},{"issue":"5","key":"15_CR29","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s12369-017-0420-0","volume":"9","author":"N Lee","year":"2017","unstructured":"Lee, N., et al.: The influence of politeness behavior on user compliance with social robots in a healthcare service setting. Int. J. Soc. Robot. 9(5), 727\u2013743 (2017)","journal-title":"Int. J. Soc. Robot."},{"key":"15_CR30","unstructured":"De Carolis, B.N., et al. Towards a social robot as interface for tourism recommendations. In: cAESAR (2020)"},{"key":"15_CR31","doi-asserted-by":"crossref","unstructured":"Okafuji, Y., et al.: Persuasion strategies for social robot to keep humans accepting daily different recommendations. In: 2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE (2021)","DOI":"10.1109\/IROS51168.2021.9636772"},{"key":"15_CR32","unstructured":"Pal, A., Chua, A.Y., Banerjee, S.: Examining trust and willingness to accept AI recommendation systems. In: Proceedings of the Association for Information Science and Technology Mid-Year Conference: Expanding Horizons of Information Science and Technology and Beyond. ASIS&T (2023)"},{"key":"15_CR33","unstructured":"Schrepp, M.: User experience questionnaire handbook. All you need to know to apply the UEQ successfully in your project (2015)"},{"key":"15_CR34","doi-asserted-by":"crossref","unstructured":"Chi, R., Zhang, J., Pan, M.: The effect of anthropomorphic competence-warmth congruence of service robots on recommendation intention. Curr. Psychol., 1\u201314 (2023)","DOI":"10.1007\/s12144-023-04825-5"},{"key":"15_CR35","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1007\/s11747-020-00762-y","volume":"49","author":"M Blut","year":"2021","unstructured":"Blut, M., et al.: Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI. J. Acad. Mark. Sci. 49, 632\u2013658 (2021)","journal-title":"J. Acad. Mark. Sci."},{"issue":"12","key":"15_CR36","doi-asserted-by":"publisher","first-page":"5993","DOI":"10.1016\/j.jbusres.2016.05.014","volume":"69","author":"T Reimer","year":"2016","unstructured":"Reimer, T., Benkenstein, M.: When good WOM hurts and bad WOM gains: the effect of untrustworthy online reviews. J. Bus. Res. 69(12), 5993\u20136001 (2016)","journal-title":"J. Bus. Res."},{"key":"15_CR37","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.ijhm.2019.01.005","volume":"80","author":"L Lu","year":"2019","unstructured":"Lu, L., Cai, R., Gursoy, D.: Developing and validating a service robot integration willingness scale. Int. J. Hosp. Manag. 80, 36\u201351 (2019)","journal-title":"Int. J. Hosp. Manag."},{"key":"15_CR38","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.ijhm.2017.07.008","volume":"67","author":"R Pijls","year":"2017","unstructured":"Pijls, R., et al.: Measuring the experience of hospitality: scale development and validation. Int. J. Hosp. Manag. 67, 125\u2013133 (2017)","journal-title":"Int. J. Hosp. Manag."},{"key":"15_CR39","doi-asserted-by":"publisher","first-page":"102146","DOI":"10.1016\/j.ijinfomgt.2020.102146","volume":"56","author":"MD Lytras","year":"2021","unstructured":"Lytras, M.D., et al.: Information management in smart cities: turning end users\u2019 views into multi-item scale development, validation, and policy-making recommendations. Int. J. Inf. Manage. 56, 102146 (2021)","journal-title":"Int. J. Inf. Manage."},{"key":"15_CR40","unstructured":"Bundick, M.: The development of scales to measure QISA\u2019s three guiding principles of student aspirations using the My Voice survey. Quaglia Institute for Student Aspirations, Dunedin, Florida (2010)"},{"key":"15_CR41","unstructured":"Nichols, G. Social robots are flopping. what makes this one different? (2019). https:\/\/www.zdnet.com\/article\/social-robots-are-flopping-what-makes-this-one-different\/. Accessed 16 Feb 2023"},{"key":"15_CR42","unstructured":"Sangster, K. Warning: Australia's skills shortage will continue into 2023. Yahoo News 2022. https:\/\/au.news.yahoo.com\/australias-skills-shortage-2023-215600981.html. Accessed 4 Feb 2023"}],"container-title":["Lecture Notes in Computer Science","Social Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8718-4_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T19:03:23Z","timestamp":1701543803000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8718-4_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,3]]},"ISBN":["9789819987177","9789819987184"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8718-4_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,12,3]]},"assertion":[{"value":"3 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Social Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Doha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qatar","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socrob2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icrs.iovision.tn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"68","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}