IP Library Granted Patent US 12,219,439
Granted Patent B2
US 12,219,439 · App. 16/986,198 · Granted Feb 4, 2025

Location-based quest request and performance system

Inventor: Stephen Constantinides (New York, NY)
Assignee: You Map Inc.
H04W4/185G06Q50/01H04L51/10H04L51/222H04L51/52
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Quick Facts
Patent No.
US 12,219,439
App. No.
16/986,198
Granted
Feb 4, 2025
Kind
B2
Abstract

A system and method for providing service information on a social network, that can include: receiving, from a first client device, a social media post including a request for a service, where the request for the service includes a set of objectives, service location information, and an identification of a requesting account requesting a service on the social network; applying grouping criteria to a first set of user accounts to generate a group, where: the group is a subset of the first set of user accounts; providing, to one or more user accounts in the group, the social media post for display by the client devices of the one or more user accounts; and receiving, from a servicing user account in the group, an acceptance of the request for service of the social media post.

Claims (56)

1. A system for providing service information on a social network, comprising:

a computer processor; and

a social mapping module executing on the computer processor and configured to enable the computer processor to:

receive, from a first client device, a social media post including (i) a request for a service and (ii) a hyperlink associated with the service, wherein the request for the service includes a set of objectives, service location information, and an identification of a requesting account requesting a service on the social network;

apply, by the computer processor, grouping criteria to a first set of user accounts to generate a group, wherein:

the group is a subset of the first set of user accounts, and

applying the grouping criteria comprises:

ranking each user account according to (i) a geographic distance between a servicing account location of the each user account and a location specified by the service location information and (ii) a relevance score of the each user account to the requesting account, wherein the servicing account location of at least one of the first set of user accounts is an anticipated future location along a route of a user, and

selecting, based the ranking, the subset of user accounts for inclusion in the group, wherein at least one user account of the first set of user accounts is selected for inclusion in the group based at least partly on a past social media engagement with the requesting account, and wherein the selecting comprises exclusing at least one user account of the first set of user accounts from inclusion in the group;

transmit a notification comprising an indication of the social media post for display by client devices of one or more user accounts in the group, and cause at least a subset of the client devices of the one or more user accounts to display a symbol representing an aggregation of social media posts comprising the social media post, wherein a size of the symbol is based on the ranking and a screen attribute of the client device, wherein the screen attribute is at least one selected from a group consisting of: a resolution of a physical display screen, a number of picture elements defining a size of a physical display screen, and an amount of screen space of a physical display screen;

receive from a clientdevice of a servicing user account in the group, an acceptance of the request for service of the social media post;

receive, from the client device of the servicing user account, activation of the hyperlink associated with the service, wherein activation of the hyperlink is a digital confirmation of acceptance or completion of the service; and

receive, from the client device of the servicing user account, a code obtained by a user of the servicing user account at the location specified by the service location information, wherein receipt of the code remotely verifies, without the need for a witness at the location, that the user of the servicing user account was physically present at the location.

2. The system of claim 1 , wherein the computer processor is further enabled to: provide, to the requesting account, the acceptance of the servicing user account for approval before the servicing user account may begin performance of the service.

3. The system of claim 1 , wherein the social mapping module is further configured to enable the computer processor to:

calculate the at least one anticipated future location based on frequently and recently visited locations.

4. The system of claim 1 , wherein the computer processor is further enabled to: monitor locations, and associated timestamps, of the client device of the servicing user account to verify performance of the service.

5. The system of claim 1 , wherein the computer processor is further enabled to: upon an indication of performance of the service by the servicing user account, receive confirmation of the performance by a third party before disbursing a reward.

6. The system of claim 1 , wherein the computer processor is further enabled to:

receive, from one or more servicing user accounts in the group in addition to the servicing user account, acceptances of the request for service of the social media post; and

allow performance of the service by each of the one or more servicing user accounts.

7. A method for providing service information on a social network, comprising:

receiving, from a first client device, a social media post including (i) a request for a serviceand (ii) a hyperlink associated with the service, wherein the request for the service includes a set of objectives, service location information, and an identification of a requesting account requesting a service on the social network;

applying grouping criteria to a first set of user accounts to generate a group, wherein:

the group is a subset of the first set of user accounts, and

applying the grouping criteria comprises:

ranking each user account according to (i) a geographic distance between a servicing account location of the each user account and a location specified by the service location information and (ii) a relevance score of the each user account to the requesting account, wherein the servicing account location of at least one of the first set of user accounts is an anticipated future location along a route of a user, and

selecting, based the ranking, the subset of user accounts for inclusion in the group, wherein at least one user account of the first set of user accounts is selected for inclusion in the group based at least partly on a past social media engagement with the requesting account, and wherein the selecting comprises exclusing at least one user account of the first set of user accounts from inclusion in the group;

transmitting a notification comprising an indication of the social media post for display by client devices of one or more user accounts in the group, and cause at least a subset of the client devices of the one or more user accounts to display a symbol representing an aggregation of social media posts comprising the social media post, wherein a size of the symbol is based on the ranking and a screen attribute of the client device, wherein the screen attribute is at least one selected from a group consisting of: a resolution of a physical display screen, a number of picture elements defining a size of a physical display screen, and an amount of screen space of a physical display screen;

receiving, from a client device of a servicing user account in the group, an acceptance of the request for service of the social media post;

receiving, from the client device of the servicing user account, activation of the hyperlink associated with the service, wherein activation of the hyperlink is a digital confirmation of acceptance or completion of the service; and

receiving, from the client device of the servicing user account, a code obtained by a user of the servicing user account at the location specified by the service location information, wherein receipt of the code remotely verifies, without the need for a witness at the location, that the user of the servicing user account was physically present at the location.

8. The method of claim 7 , further comprising:

calculating the at least one anticipated future location based on frequently and recently visited locations.

9. The method of claim 7 , further comprising monitoring locations, and associated timestamps, of the client device of the servicing user account to verify performance of the service.

10. The method of claim 7 , further comprising upon an indication of performance of the service by the servicing user account, receiving confirmation of the performance by a third party before disbursing a reward.

11. The method of claim 7 , further comprising:

receiving, from one or more servicing user accounts in the group in addition to the servicing user account, acceptances of the request for service of the social media post; and

allowing performance of the service by each of the one or more servicing user accounts.

12. A non-transitory computer-readable storage medium comprising a plurality of instructions for providing service information on a social network, the plurality of instructions configured to execute on at least one computer processor to enable the at least one computer processor to:

receive, from a first client device, a social media post including (i) a request for a service and (ii) a hyperlink associated with the service, wherein the request for the service includes a set of objectives, service location information, and an identification of a requesting account requesting a service on the social network;

apply, by the at least one computer processor, grouping criteria to a first set of user accounts to generate a group, wherein:

the group is a subset of the first set of user accounts, and

applying the grouping criteria comprises:

ranking each user account according to (i) a geographic distance between a servicing account location of the each user account and a location specified by the service location information and (ii) a relevance score of the each user account to the requesting account, wherein the servicing account location of at least one of the first set of user accounts is an anticipated future location along a route of a user; and

selecting, based the ranking, the subset of user accounts for inclusion in the group, wherein at least one user account of the first set of user accounts is selected for inclusion in the group based at least partly on a past social media engagement with the requesting account, and wherein the selecting comprises exclusing at least one user account of the first set of user accounts from inclusion in the group;

transmit a notification comprising an indiction of the social media post for display by client devices of one or more user accounts in the group, and cause at least a subset of the client devices of the one or more user accounts to display a symbol representing an aggregation of social media posts comprising the social media post, wherein a size of the symbol is based on the ranking and a screen attribute of the client device, wherein the screen attribute is at least one selected from a group consisting of: resolution of a physical display screen, a number of picture elements defining a size of a physical display screen, and an amount of screen space of a physical display screen;

receive, from a client device of a servicing user account in the group, an acceptance of the request for service of the social media post;

receive, from the client device of the servicing user account, activation of the hyperlink associaed with the service, wherein activation of the hyperlink is a digital confirmation of acceptance or completion of the service; and

receive, from the client device of the servicing user account, a code obtained by a user of the servicing user account at the location specified by the service location information, wherein receipt of the code remotely verifies, without the need for a witness at the location, that the user of the servicing user account was physically present at the location.

13. The non-transitory computer-readable storage medium of claim 12 , wherein the plurality of instructions are configured to execute on the at least one computer processor to enable the at least one computer processor to:

calculate the at least one anticipated future location based on frequently and recently visited locations.

14. The non-transitory computer-readable storage medium of claim 12 , wherein the plurality of instructions are configured to execute on the at least one computer processor to enable the at least one computer processor to: monitor locations, and associated timestamps, of the client device of the servicing user account to verify performance of the service.

15. The system of claim 1 , wherein the code is at least one selected from a group consisting of a bar code, a quick respone (QR) code, and a text message code.

16. The method of claim 7 , wherein the code is at least one selected from a group consisting of a bar code, a quick respone (QR) code, and a text message code.

17. The non-transitory computer-readable storage medium of claim 12 , wherein the code is at least one selected from a group consisting of a bar code, a quick response (QR) code, and a text message code.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 10, 2022
From: CONSTANTINIDES, STEPHEN
To: YOU MAP INC.
Reel/Frame 059886/0155 →
Continuity (15)
Continuation In Part 16172691 · Oct 26, 2018
Continuation In Part 15189691 · Jun 22, 2016
Continuation In Part 16035380 · Jul 13, 2018
Continuation In Part 16036923 · Jul 16, 2018
Continuation In Part 16841629 · Apr 6, 2020
Continuation 16164624 · Oct 18, 2018
Continuation In Part 16172692 · Oct 26, 2018
Provisional Application 62577669 · Oct 26, 2017
Provisional Application 62183068 · Jun 22, 2015
Provisional Application 62532007 · Jul 13, 2017
Provisional Application 62531859 · Jul 12, 2017
Provisional Application 62549447 · Aug 24, 2017
Provisional Application 62532991 · Jul 14, 2017
Provisional Application 62574199 · Oct 18, 2017
Related Publication 20200404464A1 · Dec 24, 2020
References Cited (148)
US 5859639A · Ebrahim · 1999 [cited by applicant]
US 8340691B1 · Starenky · 2012 [cited by applicant]
US 8606792B1 · Jackson · 2013 [cited by examiner]
US 8738039B2 · Forstall et al. · 2014 [cited by applicant]
US 8788973B2 · Lavigne et al. · 2014 [cited by applicant]
US 8996625B1 · Singleton · 2015 [cited by applicant]
US 9183807B2 · Small et al. · 2015 [cited by applicant]
US 9509787B2 · Li · 2016 [cited by applicant]
US 9613003B1 · Goodspeed · 2017 [cited by applicant]
US 9633695B2 · Axen et al. · 2017 [cited by applicant]
US 9712587B1 · Alfishawi et al. · 2017 [cited by applicant]
US 9715482B1 · Bjorkegren · 2017 [cited by applicant]
US 9826345B2 · Haro et al. · 2017 [cited by applicant]
US 10387574B1 · Anders et al. · 2019 [cited by applicant]
US 11356817B2 · Constantinides · 2022 [cited by applicant]
US 11696097B2 · Constantinides · 2023 [cited by applicant]
US 20030046307A1 · Rivette · 2003 [cited by applicant]
US 20070109580A1 · Yoshida · 2007 [cited by applicant]
US 20070147654A1 · Clatworthy et al. · 2007 [cited by applicant]
US 20070204218A1 · Weber · 2007 [cited by examiner]
US 20070226063A1 · Hanson · 2007 [cited by applicant]
US 20070226640A1 · Holbrook · 2007 [cited by applicant]
US 20080215994A1 · Harrison et al. · 2008 [cited by applicant]
US 20080222295A1 · Robinson et al. · 2008 [cited by applicant]
US 20080288406A1 · Seguin et al. · 2008 [cited by applicant]
US 20100131366A1 · Gibson et al. · 2010 [cited by applicant]
US 20100164957A1 · Lindsay et al. · 2010 [cited by applicant]
US 20100180029A1 · Fourman · 2010 [cited by applicant]
US 20100305855A1 · Dutton et al. · 2010 [cited by applicant]
US 20110196855A1 · Wable et al. · 2011 [cited by applicant]
US 20110238755A1 · Khan et al. · 2011 [cited by applicant]
US 20110238762A1 · Soni et al. · 2011 [cited by applicant]
US 20110238763A1 · Shin · 2011 [cited by examiner]
US 20110246910A1 · Moxley et al. · 2011 [cited by applicant]
US 20120135784A1 · Lee et al. · 2012 [cited by applicant]
US 20120143963A1 · Kennberg et al. · 2012 [cited by applicant]
US 20120324018A1 · Metcalf · 2012 [cited by applicant]
US 20130005352A1 · Jones · 2013 [cited by examiner]
US 20130054699A1 · Macaskill · 2013 [cited by applicant]
US 20130060873A1 · Gautam et al. · 2013 [cited by applicant]
US 20130066963A1 · Odio et al. · 2013 [cited by applicant]
US 20130072235A1 · Forstall et al. · 2013 [cited by applicant]
US 20130073387A1 · Heath · 2013 [cited by applicant]
US 20130073970A1 · Piantino et al. · 2013 [cited by applicant]
US 20130080922A1 · Elias et al. · 2013 [cited by applicant]
US 20130104238A1 · Balsan · 2013 [cited by examiner]
US 20130110631A1 · Mitchell · 2013 [cited by applicant]
US 20130139070A1 · Baldwin et al. · 2013 [cited by applicant]
US 20130196690A1 · Crowley et al. · 2013 [cited by applicant]
US 20130201185A1 · Kochi · 2013 [cited by applicant]
US 20130232011A1 · Gupta et al. · 2013 [cited by applicant]
US 20130242262A1 · Lewis · 2013 [cited by applicant]
US 20130321390A1 · Latta et al. · 2013 [cited by applicant]
US 20140002442A1 · Lamb et al. · 2014 [cited by applicant]
US 20140046591A1 · Boldyrev et al. · 2014 [cited by applicant]
US 20140059665A1 · Albani · 2014 [cited by examiner]
US 20140101601A1 · Tang · 2014 [cited by applicant]
US 20140181193A1 · Narasimhan · 2014 [cited by applicant]
US 20140236882A1 · Rishe · 2014 [cited by applicant]
US 20140274564A1 · Greenbaum · 2014 [cited by applicant]
US 20140280278A1 · Harris et al. · 2014 [cited by applicant]
US 20140359537A1 · Jackobson et al. · 2014 [cited by applicant]
US 20140316192A1 · Massimiliano et al. · 2014 [cited by applicant]
US 20140316691A1 · Ren et al. · 2014 [cited by applicant]
US 20140324797A1 · Yung et al. · 2014 [cited by applicant]
US 20150032766A1 · Greenbaum · 2015 [cited by applicant]
US 20150039443A1 · Soon-Shiong · 2015 [cited by applicant]
US 20150058255A1 · Cork · 2015 [cited by applicant]
US 20150058324A1 · Kauwe · 2015 [cited by applicant]
US 20150061825A1 · Suzuki et al. · 2015 [cited by applicant]
US 20150073693A1 · Yang · 2015 [cited by examiner]
US 20150112753A1 · Suvarna · 2015 [cited by applicant]
US 20150113007A1 · Hatchard · 2015 [cited by applicant]
US 20150127535A1 · Chavarria et al. · 2015 [cited by applicant]
US 20150154269A1 · Miller · 2015 [cited by applicant]
US 20150169142A1 · Longo et al. · 2015 [cited by applicant]
US 20150188873A1 · Halliday · 2015 [cited by applicant]
US 20150220802A1 · Mazur et al. · 2015 [cited by applicant]
US 20150245168A1 · Martin · 2015 [cited by applicant]
US 20150262208A1 · Bjontegard · 2015 [cited by applicant]
US 20150302651A1 · Shpigelman · 2015 [cited by applicant]
US 20150310497A1 · Valin et al. · 2015 [cited by applicant]
US 20150325226A1 · Rosedale et al. · 2015 [cited by applicant]
US 20150334077A1 · Feldman · 2015 [cited by examiner]
US 20150378587A1 · Falaki et al. · 2015 [cited by applicant]
US 20160019661A1 · Bouganim et al. · 2016 [cited by applicant]
US 20160027329A1 · Jerauld · 2016 [cited by applicant]
US 20160029368A1 · Borenstein et al. · 2016 [cited by applicant]
US 20160055250A1 · Rush · 2016 [cited by applicant]
US 20160080438A1 · Liang · 2016 [cited by applicant]
US 20160087927A1 · Crudele · 2016 [cited by applicant]
US 20160110381A1 · Chen · 2016 [cited by applicant]
US 20160116292A1 · An · 2016 [cited by examiner]
US 20160140328A1 · Pathak · 2016 [cited by applicant]
US 20160142894A1 · Papakonstantinou et al. · 2016 [cited by applicant]
US 20160169696A1 · Butts, III · 2016 [cited by examiner]
US 20160171582A1 · Linden · 2016 [cited by examiner]
US 20160203223A1 · Hladik · 2016 [cited by applicant]
US 20160232131A1 · Liu · 2016 [cited by applicant]
US 20160321551A1 · Priness · 2016 [cited by examiner]
US 20160350953A1 · Mittelstaedt · 2016 [cited by applicant]
US 20170109807A1 · Krishnan · 2017 [cited by applicant]
US 20170127128A1 · Seger · 2017 [cited by applicant]
US 20170134508A1 · Kalis et al. · 2017 [cited by applicant]
US 20170139207A1 · Jenabzadeh · 2017 [cited by applicant]
US 20170169168A1 · Batchelor · 2017 [cited by examiner]
US 20170193075A1 · Hegelich et al. · 2017 [cited by applicant]
US 20170200296A1 · Jones et al. · 2017 [cited by applicant]
US 20170214646A1 · Longo et al. · 2017 [cited by applicant]
US 20170220966A1 · Wang · 2017 [cited by examiner]
US 20170270821A1 · Jerauld · 2017 [cited by applicant]
US 20170295127A1 · He · 2017 [cited by examiner]
US 20180004762A1 · Jazayeri · 2018 [cited by applicant]
US 20180006993A1 · Jazayeri · 2018 [cited by applicant]
US 20180060778A1 · Guo et al. · 2018 [cited by applicant]
US 20180121029A1 · Mrad et al. · 2018 [cited by applicant]
US 20180176271A1 · Laurent · 2018 [cited by applicant]
US 20180293308A1 · Miller et al. · 2018 [cited by applicant]
US 20180315134A1 · Amitay · 2018 [cited by examiner]
US 20200242182A1 · Gokyigit · 2020 [cited by applicant]
US 20210097631A1 · Mercs · 2021 [cited by applicant]
KR 1020160078703 · 2016 [cited by applicant]
WO 2015021200A1 · 2015 [cited by applicant]
WO 2017120660A1 · 2017 [cited by applicant]
Y. Tian, W. Wei, Q. Li, F. Xu and S. Zhong, “MobiCrowd: Mobile Crowdsourcing on Location-based Social Networks,” IEEE Infocom 2018—IEEE Conference on Computer Communications, Honolulu, HI, USA, 2018, pp. 2726-2734, doi:… [cited by examiner]
J. Jiang, H. Lu, B. Yang and B. Cui, “Finding top-k local users in geo-tagged social media data,” 2015 IEEE 31st International Conference on Data Engineering, 2015, pp. 267-278, doi: 10.1109/ICDE.2015.7113290. (Year: 20… [cited by examiner]
R. Rizia, M. Tanviruzzaman and S. I. Ahamed, “KnockAround: Location Based Service via Social Knowledge,” 2012 IEEE 36th Annual Computer Software and Applications Conference, 2012, pp. 623-631, doi: 10.1109/COMPSAC.2012.… [cited by examiner]
X. Liang, K. Zhang, R. Lu, X. Lin and X. Shen, “EPS: An Efficient and Privacy-Preserving Service Searching Scheme for Smart Community,” in IEEE Sensors Journal, vol. 13, No. 10, pp. 3702-3710, Oct. 2013, doi: 10.1109/JS… [cited by examiner]
J. Jacob, K. Jha, P. Kotak and S. Puthran, “Mobile attendance using Near Field Communication and One-Time Password,” 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 2015, pp. 1298-1303… [cited by examiner]
F. Zhang, A. Kondoro and S. Muftic, “Location-Based Authentication and Authorization Using Smart Phones,” 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, 2012, pp.… [cited by examiner]
C. P. M. Pombinho, M. B. Carmo and A. P. Afonso, “Evaluation of Overcluttering Prevention Techniques for Mobile Devices,” 2009 13th International Conference Information Visualisation, Barcelona, Spain, 2009, pp. 127-134… [cited by examiner]
B. Valdestilhas, A. Scherp et al. “Using Semiotic Profiles to Design Graphical User Interfaces for Social Media Data Spaces on Mobile Phone Screens,” 2013 13th International Conference on Computational Science and Its A… [cited by examiner]
Akther, K. M. Alam, H.-N. Kim and A. El Saddik, “Social network and user context assisted personalization for recommender systems,” 2012 International Conference on Innovations in Information Technology (IIT), Abu Dhabi… [cited by examiner]
A. X. Zhang, A. Noulas, S. Scellato and C. Mascolo, “Hoodsquare: Modeling and Recommending Neighborhoods in Location-Based Social Networks,” 2013 International Conference on Social Computing, Alexandria, VA, USA, 2013, … [cited by examiner]
J. A. B. Perera, D. Zhang and M. Lu, “Smart Maps through Semantic Web, Social Media, and Sentiment Analysis,” 2015 IEEE International Conference on Information Reuse and Integration, San Francisco, CA, 2015, pp. 49-56, … [cited by applicant]
Behzadan, A. et al., 2012. A Framework for Utilizing Context-Aware Augmented Reality Visualization in Engineering Education, 12th International Conference on Construction Application of Virtual Reality, Taipei, Taiwan, … [cited by applicant]
Dias, A., 2009. Technology Enhanced Learning and Augmented Reality: An Application on Multimedia Interactive Books, International Business & Economics Review, vol. 1, n.1. [cited by applicant]
International Search Report and Written Opinion received in PCT/US18/42169, mailed on Sep. 24, 2018 (10 pages). [cited by applicant]
International Search Report and Written Opinion received in PCT/US18/42355, mailed on Oct. 1, 2018 (10 pages). [cited by applicant]
Shirazi, A., 2014. Context-Aware Mobile Augmented Reality Visualization in Construction Engineering Education, Electronic Theses and Dissertations, University of Central Florida. Paper 4510. [cited by applicant]
Specht, M. et al., 2011. Mobile Augmented Reality for Learning: A Case Study. Journal Of The Research Center For Educational Technology, 7(1). Retrieved Jan. 18, 2012, from http://www.rcetj.org/index.php/rcetj/article/v… [cited by applicant]
Cho, R. Wesslen, S. Volkova, W. Ribarsky and W. Dou, “CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data,” 2017 IEEE Conference on Visual Analytics Science and Technolog… [cited by applicant]
R. Wang et al., “Taxi Rec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines,” in IEEE Transactions on Knowledge and Data Engineering, vol. 30, No. 3, pp. 585-598, Mar. 1, 2018, do… [cited by applicant]
D. Widdows, J. Lucas, M. Tang and W. Wu, “GrabShare: The construction of a realtime ridesharing service,” 2017 2nd EEE International Conference on Intelligent Transportation Engineering (ICITE), 2017, pp. 138-143, doi: … [cited by applicant]
Cardone et al., The ParticipAct Mobile Crowd Sensing Living Lab: The Testbed for Smart Cities, Oct. 24, 2014, IEEE Communications Magazine (vol. 52, Issue 10), pp. 78-85 (Year: 2014). [cited by applicant]
F. Zhang, A. Kondoro and S. Muftic, “Location-Based Authentication and Authorization Using Smart Phones,” 2012 EEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, 2012, pp. … [cited by applicant]
J. Jacob, K. Jha, P. Kotak and S. Puthran, “Mobile attendance using Near Field Communication and One-Time Password,” 2015 International Conference on Green Computing and Internet ofThings (ICGCIoT), 2015, pp. 1298-1303. [cited by applicant]
K. Kesorn, W. Juraphanthong and A. Salaiwarakul, “Personalized Attraction Recommendation System for Tourists Through Check-In Data,” in IEEE Access, vol. 5, pp. 26703-26721, 2017, doi: 10.1109/ACCESS.2017.2778293. (Year… [cited by applicant]