{"type":"ScholarlyArticle","title":"Design and Implementation of a Disambiguity Framework for Smart Voice Controlled Devices","authors":[{"name":"Kehua Lei","slug":"kehua-lei","given":"Kehua","family":"Lei","affiliation":"Department of Computer Science and Technology , Tsinghua University , Beijing 100084 , China"},{"name":"Tianyi Ma","slug":"tianyi-ma","given":"Tianyi","family":"Ma","affiliation":"Department of Computer Science and Technology , Tsinghua University , Beijing 100084 , China"},{"name":"Jia Jia","slug":"jia-jia","given":"Jia","family":"Jia","affiliation":"Department of Computer Science and Technology , Tsinghua University , Beijing 100084 , China"},{"name":"Cunjun Zhang","slug":"cunjun-zhang","given":"Cunjun","family":"Zhang","affiliation":"Department of Computer Science and Technology , Tsinghua University , Beijing 100084 , China"},{"name":"Zhihan Yang","slug":"zhihan-yang","given":"Zhihan","family":"Yang","affiliation":"Department of Computer Science and Technology , Tsinghua University , Beijing 100084 , China"}],"abstract":"With about 100 million people using it recently, SVCD(Smart Voice Controlled Device) are becoming demotic. Whether at home or in an office, usually, multiple appliances are under the control of a single SVCD and several people may manipulate an SVCD simultaneously. However, present SVCD fails to handle them appropriately. In this paper, we propose a novel framework for SVCD to eliminate orders’ ambiguity for single user or multi-user. We also design an algorithm combining Word2Vec and emotion detection for the device to wipe off ambiguity. Finally, we apply our framework into a virtual smart home scene and the performance of it indicates that our strategy resolves the problems commendably.","doi":"10.24963/ijcai.2019/948","url":"https://ijcai.org/proceedings/2019/948","pdf":"https://ijcai.org/proceedings/2019/0948.pdf","markdown":"https://ijcai.org/proceedings/2019/948.md","bibtex":"https://ijcai.org/proceedings/2019/bibtex/948","volume":{"slug":"2019","title":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2019","url":"https://ijcai.org/proceedings/2019/","year":2019,"location":"Macao","dates":"10-16 August 2019","editors":"Sarit Kraus","isbn":"978-0-9992411-4-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2019"},"section":"Demos","track":"Demos","number":948,"pages":{"first":6536,"last":6538},"keywords":["AI: Human-Computer Interactive Systems","AI: Others"],"videos":[],"references":[{"position":1,"raw":"[Corbett and Weber, 2016] Eric Corbett and Astrid Weber. What can i say?: addressing user experience challenges of a mobile voice user interface for accessibility. In Pro- ceedings of the 18th International Conference on Human- Computer Interaction with Mobile Devices and Services, pages 72-82. ACM, 2016.","title":"What can i say?: addressing user experience challenges of a mobile voice user interface for accessibility","authors":"Weber ; Corbett, Eric Corbett, Astrid Weber","year":"2016","venue":"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Luger and Sellen, 2016] Ewa Luger and Abigail Sellen. Like having a really bad pa: the gulf between user expec- tation and experience of conversational agents. In Pro- ceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pages 5286-5297. ACM, 2016.","title":"Like having a really bad pa: the gulf between user expectation and experience of conversational agents","authors":"Sellen Luger, Ewa Luger, Abigail Sellen","year":"2016","venue":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Lyons et al., 2016] Gabriel Lyons, Vinh Tran, Carsten Bin- nig, Ugur Cetintemel, and Tim Kraska. Making the case for query-by-voice with echoquery. In Proceedings of the 2016 International Conference on Management of Data, pages 2129-2132. ACM, 2016.","title":"Making the case for query-by-voice with echoquery","authors":"Gabriel Lyons, Vinh Tran, Carsten Binnig, Ugur Cetintemel, Tim Kraska","year":"2016","venue":"Proceedings of the 2016 International Conference on Management of Data","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Myers et al., 2018] Chelsea Myers, Anushay Furqan, Jes- sica Nebolsky, Karina Caro, and Jichen Zhu. Patterns for how users overcome obstacles in voice user interfaces. In Proceedings of the 2018 CHI Conference on Human Fac- tors in Computing Systems, page 6. ACM, 2018.","title":"Patterns for how users overcome obstacles in voice user interfaces","authors":"Myers","year":"2018","venue":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Porcheron et al., 2018] Martin Porcheron, Joel E Fischer, Stuart Reeves, and Sarah Sharples. Voice interfaces in ev- eryday life. In proceedings of the 2018 CHI conference on human factors in computing systems, page 640. ACM, 2018.","title":"Voice interfaces in everyday life","authors":"Martin Porcheron, Joel E Fischer, Stuart Reeves, Sarah Sharples","year":"2018","venue":"proceedings of the 2018 CHI conference on human factors in computing systems","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Rong et al., 2017] Xin Rong, Adam Fourney, Robin N Brewer, Meredith Ringel Morris, and Paul N Bennett. Managing uncertainty in time expressions for virtual as- sistants. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 568-579. ACM, 2017.","title":"Managing uncertainty in time expressions for virtual assistants","authors":"Xin Rong, Adam Fourney, Robin N Brewer, Meredith Ringel Morris, Paul N Bennett","year":"2017","venue":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Zhang et al., 2015] Dongwen Zhang, Hua Xu, Zengcai Su, and Yunfeng Xu. Chinese comments sentiment classifica- tion based on word2vec and svmperf. Expert Systems with Applications, 42(4):1857-1863, 2015.","title":"Chinese comments sentiment classification based on word2vec and svmperf","authors":"Zhang","year":"2015","venue":"Expert Systems with Applications","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Zhong et al., 2014] Yu Zhong, TV Raman, Casey Burkhardt, Fadi Biadsy, and Jeffrey P Bigham. Just- speak: enabling universal voice control on android. In Proceedings of the 11th Web for All Conference, page 36. ACM, 2014.","title":"Justspeak: enabling universal voice control on android","authors":"Yu Zhong, Casey Raman, Fadi Burkhardt, Jeffrey P Biadsy, Bigham","year":"2014","venue":"Proceedings of the 11th Web for All Conference","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Zhou et al., 2018] Suping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin, and Kehua Lei. Inferring emotion from conversational voice data: A semi-supervised multi- path generative neural network approach. In Thirty-Second AAAI Conference on Artificial Intelligence, 2018.","title":"Inferring emotion from conversational voice data: A semi-supervised multipath generative neural network approach","authors":"Suping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei","year":"2018","venue":"Thirty-Second AAAI Conference on Artificial Intelligence","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}