{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:58:16Z","timestamp":1740099496802,"version":"3.37.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030304867"},{"type":"electronic","value":"9783030304874"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30487-4_51","type":"book-chapter","created":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T19:02:47Z","timestamp":1567969367000},"page":"669-684","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Scaffolding Haptic Attention with Controller Gating"],"prefix":"10.1007","author":[{"given":"Alexandra","family":"Moringen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1606-2436","authenticated-orcid":false,"given":"Sascha","family":"Fleer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helge","family":"Ritter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,9]]},"reference":[{"key":"51_CR1","unstructured":"Ba, J., Mnih, V., Kavukcuoglu, K.: Multiple object recognition with visual attention. CoRR abs\/1412.7755 (2014). \n                      http:\/\/arxiv.org\/abs\/1412.7755"},{"key":"51_CR2","doi-asserted-by":"crossref","unstructured":"Bengio, Y., Louradour, J., Collobert, R., Weston, J.: Curriculum learning. In: Proceedings of the 26th Annual International Conference on Machine Learning, ACM, pp. 41\u201348 (2009)","DOI":"10.1145\/1553374.1553380"},{"key":"51_CR3","doi-asserted-by":"crossref","unstructured":"Chu, V., et al.: Using robotic exploratory procedures to learn the meaning of haptic adjectives. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp. 3048\u20133055 (2013)","DOI":"10.1109\/ICRA.2013.6631000"},{"key":"51_CR4","unstructured":"Fleer, S., Moringen, A., Klatzky, R.L., Ritter, H.J.: Learning efficient haptic shape exploration with a rigid tactile sensor array. CoRR abs\/1902.07501 (2019). \n                      http:\/\/arxiv.org\/abs\/1902.07501"},{"key":"51_CR5","unstructured":"Hammond, J.: Scaffolding: teaching and learning in language and literacy education. ERIC (2001)"},{"issue":"4","key":"51_CR6","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.tics.2005.02.009","volume":"9","author":"M Hayhoe","year":"2005","unstructured":"Hayhoe, M., Ballard, D.: Eye movements in natural behavior. Trends Cogn. Sci. 9(4), 188\u2013194 (2005)","journal-title":"Trends Cogn. Sci."},{"issue":"8","key":"51_CR7","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"51_CR8","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1037\/0096-3445.116.4.356","volume":"116","author":"RL Klatzky","year":"1987","unstructured":"Klatzky, R.L., Lederman, S.J., Reed, C.L.: There\u2019s more to touch than meets the eye: the salience of object attributes for haptics with and without vision. J. Exp. Psychol. 116, 356 (1987)","journal-title":"J. Exp. Psychol."},{"issue":"8","key":"51_CR9","doi-asserted-by":"publisher","first-page":"1111","DOI":"10.3758\/BF03208368","volume":"57","author":"RL Klatzky","year":"1995","unstructured":"Klatzky, R.L., Lederman, S.J.: Identifying objects from a haptic glance. Percept. Psychophysics 57(8), 1111\u20131123 (1995). \n                      https:\/\/doi.org\/10.3758\/BF03208368","journal-title":"Percept. Psychophysics"},{"key":"51_CR10","doi-asserted-by":"crossref","unstructured":"Lee, M.A., et al.: Making sense of vision and touch: self-supervised learning of multimodal representations for contact-rich tasks. arxiv (2019)","DOI":"10.1109\/ICRA.2019.8793485"},{"key":"51_CR11","unstructured":"Mathe, S., Sminchisescu, C.: Action from still image dataset and inverse optimal control to learn task specific visual scanpaths. In: Advances in Neural Information Processing Systems, pp. 1923\u20131931 (2013)"},{"key":"51_CR12","unstructured":"Mnih, V., Heess, N., Graves, A., Kavukcuoglu, K.: Recurrent models of visual attention. CoRR abs\/1406.6247 (2014). \n                      http:\/\/arxiv.org\/abs\/1406.6247"},{"key":"51_CR13","doi-asserted-by":"crossref","unstructured":"Moringen, A., Aswolinskij, W., Buescher, G., Walck, G., Haschke, R., Ritter, H.: Modeling target-distractor discrimination for haptic search in a 3D environment. In: BioRob (2018)","DOI":"10.1109\/BIOROB.2018.8487705"},{"key":"51_CR14","unstructured":"Nesterov, Y.: A method for solving the convex programming problem with convergence rate \n                      \n                        \n                      \n                      $$O(1\/k^2)$$\n                    . In: Dokl. Akad. Nauk SSSR, pp. 543\u2013547 (1983)"},{"key":"51_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8853-9","volume-title":"Introductory Lectures on Convex Optimization: A Basic Course. Applied Optimization","author":"Y Nesterov","year":"2004","unstructured":"Nesterov, Y.: Introductory Lectures on Convex Optimization: A Basic Course. Applied Optimization. Springer, Boston (2004). \n                      https:\/\/doi.org\/10.1007\/978-1-4419-8853-9"},{"key":"51_CR16","volume-title":"Action in Perception. Representation and Mind","author":"A No\u00eb","year":"2004","unstructured":"No\u00eb, A.: Action in Perception. Representation and Mind. MIT Press, Cambridge (2004)"},{"issue":"3","key":"51_CR17","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s10648-010-9127-6","volume":"22","author":"J Pol van de","year":"2010","unstructured":"van de Pol, J., Volman, M., Beishuizen, J.: Scaffolding in teacher-student interaction: a decade of research. Educ. Psychol. Rev. 22(3), 271\u2013296 (2010)","journal-title":"Educ. Psychol. Rev."},{"key":"51_CR18","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1016\/j.neucom.2016.01.049","volume":"191","author":"M Pratama","year":"2016","unstructured":"Pratama, M., Lu, J., Lughofer, E., Zhang, G., Anavatti, S.: Scaffolding type-2 classifier for incremental learning under concept drifts. Neurocomputing 191, 304\u2013329 (2016). \n                      https:\/\/doi.org\/10.1016\/j.neucom.2016.01.049","journal-title":"Neurocomputing"},{"key":"51_CR19","doi-asserted-by":"publisher","unstructured":"Rouhafzay, G., Cretu, A.: Object recognition from haptic glance at visually salient locations. IEEE Trans. Instrum. Measur. 1\u201311 (2019). \n                      https:\/\/doi.org\/10.1109\/TIM.2019.2905906","DOI":"10.1109\/TIM.2019.2905906"},{"key":"51_CR20","doi-asserted-by":"crossref","unstructured":"Schurmann, C., Koiva, R., Haschke, R., Ritter, H.: A modular high-speed tactile sensor for human manipulation research. In: 2011 IEEE World Haptics Conference (WHC 2011), IEEE, pp. 339\u2013344 (2011)","DOI":"10.1109\/WHC.2011.5945509"},{"key":"51_CR21","volume-title":"Reinforcement Learning: An Introduction","author":"RS Sutton","year":"2018","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction, 2nd edn. MIT Press, Cambridge (2018)","edition":"2"},{"key":"51_CR22","doi-asserted-by":"crossref","unstructured":"Thomaz, A.L.: Socially guided machine learning. Ph.D. thesis, Computer Science Department Faculty Publication Series (2006)","DOI":"10.1145\/1121241.1121315"},{"key":"51_CR23","unstructured":"Thomaz, A.L., Breazeal, C.: Reinforcement learning with human teachers: evidence of feedback and guidance with implications for learning performance. In: Association for the Advancement of Artificial Intelligence - 2006, Boston, MA, pp. 1000\u20131005 (2006)"},{"key":"51_CR24","doi-asserted-by":"crossref","unstructured":"Tian, S., et al.: Manipulation by feel: touch-based control with deep predictive models. arxiv (2019)","DOI":"10.1109\/ICRA.2019.8794219"},{"key":"51_CR25","unstructured":"Williams, R.J.: Toward a theory of reinforcement-learning connectionist systems. Technical Report NU-CCS-88-3, Northeastern University (1988)"},{"issue":"3\u20134","key":"51_CR26","first-page":"229","volume":"8","author":"RJ Williams","year":"1992","unstructured":"Williams, R.J.: Simple statistical gradient-following algorithms for connectionist reinforcement learning. Mach. Learn. 8(3\u20134), 229\u2013256 (1992)","journal-title":"Mach. Learn."},{"key":"51_CR27","doi-asserted-by":"publisher","first-page":"2913","DOI":"10.1007\/978-1-4419-1428-6","volume-title":"Encyclopedia of the Sciences of Learning","author":"JM Zydney","year":"2012","unstructured":"Zydney, J.M.: Scaffolding. In: Seel, N.M. (ed.) Encyclopedia of the Sciences of Learning, pp. 2913\u20132916. Springer, Boston (2012). \n                      https:\/\/doi.org\/10.1007\/978-1-4419-1428-6"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2019: Theoretical Neural Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30487-4_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T19:15:42Z","timestamp":1567970142000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30487-4_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030304867","9783030304874"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30487-4_51","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}