Understanding User Satisfaction with Intelligent Assistants

Kiseleva, Julia; Williams, Kyle; Jiang, Jiepu; Awadallah, Ahmed Hassan; Crook, Aidan C.; Zitouni, Imed; Anastasakos, Tasos

doi:10.1145/2854946.2854961

Cited by 139 publications

(85 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A study of users' satisfaction with intelligent assistants using voice interaction, namely, Siri, Cortana, Alexa, etc. is by Kiseleva et al [103]. The study showed how important contextual information was to properly understand a query and how essential maintaining context thought a conversation was.…”

Section: Spoken Inputmentioning

confidence: 99%

From IR to Mobile IR

Crestani

Mizzaro

Scagnetto

2017

Mobile Information Retrieval

View full text Add to dashboard Cite

https://adwords.googleblog.com/2015/05/building-for-next-moment. html * The use of the word "mainly" here indicates that the boundary between the two areas is becoming fuzzy, with some IR systems working in a more deterministic way and DB systems working in a more probabilistic or "uncertainty conscious" fashion. * The semantic meaning of different words is inferred using a deep learning technique named word2vec, https://code.google.com/p/word2vec/.† https://code.google.com/p/androguard/ * trec.nist.gov † research.nii.ac.jp/ntcir/index-en.html ‡ https://sites.google.com/site/treccontext/

show abstract

Section: Spoken Inputmentioning

confidence: 99%

From IR to Mobile IR

Crestani

Mizzaro

Scagnetto

2017

Mobile Information Retrieval

View full text Add to dashboard Cite

show abstract

“…Julia Kiseleva et al have done a continuous and in-depth study on the user satisfaction of intelligent assistant, and found that the factors affecting task satisfaction are different in different scenarios. They also try to use interactive signals to construct a method to predict the satisfaction of intelligent assistants [8,9,10]. Other studies have found that there is a relationship between the personality of users and their preference for different intelligent assistants [11].…”

Section: Related Workmentioning

confidence: 99%

Visual Feedback Design and Research of Handheld Mobile Voice Assistant Interface

Yang¹

2018

Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)

View full text Add to dashboard Cite

Abstract-Based on the limitation of handheld mobile voice assistant in usability, this paper analyzes the important role and characteristics of visual feedback in voice interaction interface, and discusses the research and the application status of voice assistant usability. On this basis, taking the interaction of Siri voice assistant as a case to study, the task characteristics and design defects of voice interaction are found through interview 12 users. Based on the general design principles and voice interaction design principles, the voice interaction feedback interface in handheld mobile devices is optimized to improve the validity and reliability of the intelligent voice assistant.

show abstract

“…A hierarchical architecture similar to Ravenclaw, called Task Completion Platform (TCP) (Crook et al, 2016), addresses domain knowledge extensibility with minimal changes to a configuration file. In addition, it allows the goal oriented tasks to be defined easily using a TaskForm language to maintain slot information.…”

Section: Related Workmentioning

confidence: 99%

“…, 2016). Other works deal with task-oriented dialogues, which offer natural-language interfaces to real-world services like restaurant booking (Bordes and Weston, 2016; Dhingra et al, 2016;Crook et al, 2016). We focus in this paper on a third dialogue setting where the goal is to have a natural conversation with a user, during which the user's information needs are satisfied in an iterative manner.…”

Section: User: Is It a Virus?mentioning

confidence: 99%

“…This flexible architecture provides a clear separation between the domain knowledge and dialogue agent, and maintains a hierarchical task structure. Systems can be built on the architecture with the hierarchical task layout but adding a new task requires the hierarchy to be rebuilt, which impedes application to new domains.A hierarchical architecture similar to Ravenclaw, called Task Completion Platform (TCP) (Crook et al, 2016), addresses domain knowledge extensibility with minimal changes to a configuration file. In addition, it allows the goal oriented tasks to be defined easily using a TaskForm language to maintain slot information.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue

2017

View full text Add to dashboard Cite

We are excited to welcome you to this year's SIGdial Conference, the 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue. We are pleased to hold the conference in Saarbrücken on August 15-17th, co-located with SemDial 2017, and in close proximity to both INTERSPEECH 2017 and YRRSDS 2017, the Young Researchers' Roundtable on Spoken Dialog Systems.The SIGdial conference remains a premier publication venue for research in discourse and dialogue. This year, the program includes oral presentations, poster sessions, and one demo session. SIGdial 2017 also hosts three special sessions, two joint with SemDial 2017.We received 113 submissions this year. In only one previous year has there been a greater number of submissions to SIGdial. All long and short papers received at least 3 reviews. We carefully considered both the numeric ratings and the tenor of the comments in making our selections for the program. Overall, the members of the Program Committee did an excellent job in reviewing the submitted papers. We thank them for their important role in selecting the accepted papers and for helping to come up with a high quality program for the conference. We also thank Pierre Lison, Mentoring Chair for SIGdial 2017, for his dedicated work on the mentoring process. The goal of mentoring is to assist authors of papers that contain important ideas but lack clarity. In line with the SIGdial tradition, our aim has been to create a balanced program that accommodates as many favorably rated papers as possible. We accepted 29 long papers, 11 short papers and 7 demo presentations. These numbers give an overall acceptance rate of 41.6%. The rates separately for types of papers are 42% for long papers, 30% for short and 87% for demo submissions. Of the long papers, 18 were presented as oral presentations. The remaining 11 long papers and all the short papers were presented as posters, split into two poster sessions.This year SIGdial has three special sessions on topics of growing interest. The chosen sessions were (i) the Special Session on Negotiation Dialog organized by Amanda Stent, Aasish Pappu, Diane Litman and Marilyn Walker; (ii) the Second WOCHAT Special Session on Chatbots and Conversational Agents organized by Ryuichiro Higashinaka, Ron Artstein, Rafael E. Banchs, and Wolfgang Minker; and (iii) Special Session on Natural Language Generation for Dialog Systems organized by Marilyn Walker, Verena Rieser, Vera Demberg, Dietrich Klakow, Dilek Hakkani-Tur, David M. Howcroft and Shereen Oraby. These specialized topics brought diverse paper submissions to our technical program. At the conference, the special sessions also featured panel discussions and position talks, allowing for active engagement of the conference participants. This year, two of these special sessions, the one on negotiation and on conversational agents, are part of the joint SIGdial/SemDial program at the conference bringing both communities to participate in them. This year's SIGdial conference runs 3 full days compared to previous year...

show abstract

Understanding User Satisfaction with Intelligent Assistants

Cited by 139 publications

References 40 publications

From IR to Mobile IR

From IR to Mobile IR

Visual Feedback Design and Research of Handheld Mobile Voice Assistant Interface

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue

Contact Info

Product

Resources

About