Hyunhoon Jung
Hyeji Kim
Jung-Woo Ha
ABSTRACT
Voice user interfaces (VUIs) are growing in popularity. At this stage of VUIs adoption, distinctions between heavy users and light users are becoming emerging challenge. Some studies have focused on investigating how general users interact with VUIs; however few studies have focused solely on the differences in VUIs use between heavy and light users. In this paper, we conduct user study using our new restaurant reservation VUI, AiCall, to explore what kind of difficulties those two groups are facing and what are the differences between them. We found out that 1) heavy users could identify more diverse difficulty types than light users; 2) the types of difficulties that affect each group of users are different, and 3) in particular, the repetition of agent utterance was considered the most inconvenient by heavy users. Based on these findings, we discuss the VUI design and development considerations to satisfy both groups of users.
- Erin Beneteau, Olivia K Richards, Mingrui Zhang, Julie A Kientz, Jason Yip, and Alexis Hiniker. 2019. Communication breakdowns between families and Alexa. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 243.Google Scholar
Digital Library
- William Chan, Navdeep Jaitly, Quoc Le, and Oriol Vinyals. 2016. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 4960--4964.Google ScholarDigital Library
- Qian Chen, Zhu Zhuo, and Wen Wang. 2019. Bert for joint intent classification and slot filling. arXiv preprint arXiv:1902.10909 (2019).Google Scholar
- Leigh Clark, Phillip Doyle, Diego Garaialde, Emer Gilmartin, Stephan Schlögl, Jens Edlund, Matthew Aylett, João Cabral, Cosmin Munteanu, and Benjamin Cowan. 2018. The State of Speech in HCI: Trends, Themes and Challenges. arXiv preprint arXiv: 1810.06828 (2018).Google Scholar
- Juliet Corbin and Anselm Strauss. 2014. Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.Google Scholar
- Randy Allen Harris. 2004. Voice interaction design: crafting the new conversational speech systems. Elsevier.Google Scholar
- James R Lewis. 2016. Standardized questionnaires for voice interaction design. Voice Interaction Design 1, 1 (2016).Google Scholar
- Ewa Luger and Abigail Sellen. 2016. Like having a really bad PA: the gulf between user expectation and experience of conversational agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 5286--5297.Google ScholarDigital Library
- Chelsea Myers, Anushay Furqan, Jessica Nebolsky, Karina Caro, and Jichen Zhu. 2018. Patterns for how users overcome obstacles in voice user interfaces. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 6.Google ScholarDigital Library
- Martin Porcheron, Joel E Fischer, Stuart Reeves, and Sarah Sharples. 2018. Voice interfaces in everyday life. In proceedings of the 2018 CHI conference on human factors in computing systems. ACM, 640.Google ScholarDigital Library
- Eunwoo Song, Kyungguen Byun, and Hong-Goo Kang. 2019. Excitnet vocoder: A neural excitation model for parametric speech synthesis systems. In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 1--5.Google ScholarCross Ref
Index Terms
- Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces
Recommendations
Finding contextual meaning of the wake word
CUI '19: Proceedings of the 1st International Conference on Conversational User InterfacesThe 'wake word' can be considered one of the features that hinder natural conversation. Recently, tech companies such as Google and Amazon have developed features that enable the user to communicate with the virtual agent without a wake word. With this ...
Transforming graphical interfaces into auditory interfaces for blind users
Although graphical interfaces have provided a host of advantages to the majority of computer users, they have created a significant barrier to blind computer users. To meet the needs of these users, a methodology for transforming graphical interfaces ...
Towards a model-driven approach for multiexperience AI-based user interfaces
AbstractSoftware systems start to include other types of interfaces beyond the “traditional” Graphical-User Interfaces (GUIs). In particular, Conversational User Interfaces (CUIs) such as chat and voice are becoming more and more popular. These new types ...
Comments