Evaluation of Mobile and Pervasive Speech Applications

Turunen, Markku; Hakulinen, Jaakko; Rajput, Nitendra; Nanavati, Amit A.

doi:10.1002/9781119961710.ch8

Cited by 11 publications

(6 citation statements)

References 40 publications

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“…However, when users seek answers to non-factoid style queries, the system falls back on displaying a result list on screen such as in a multimodal system [18]. Nevertheless, there are many different scenarios where a speech-only user interface is preferred, such as when operating machinery [6,7]; when no screen or keyboard is available [24]; when users are on the move [16,21]; or when using wearable devices [5].…”

Section: Motivationmentioning

confidence: 99%

“…Since speech is a linear medium, it is also challenging to present complex structures. Thus, it is difficult to convey large amounts of information via audio without overloading the user's short-term memory [14,18,21]. It has also been shown that word frequency and speech rate have an effect on shortterm serial recall [11].…”

Section: Motivationmentioning

confidence: 99%

“…It has also been shown that word frequency and speech rate have an effect on shortterm serial recall [11]. In particular, we seek a better understanding of how to present search results over audio while not overwhelming the users with information [21], nor leaving users uncertain as to whether what they have covered the information space [22]. However, we believe that conveying information through an interactive channel will alleviate some complexities which are associated with speech and will allow users to find information in an efficient and effective manner.…”

Section: Motivationmentioning

confidence: 99%

“…The user study will be recorded to allow for data to be analyzed after the test. Once the user study is finished, the participants will complete a post-test questionnaire and a Likert-scale questionnaire [21] and the tester will conduct a semi-structured interview. These measures will evaluate user satisfaction, usefulness of the system and naturalness of the system specifically for the presentation of query results and the structure of the conversation.…”

Section: Observational and Wizard Of Oz Experimentsmentioning

confidence: 99%

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Spoken Conversational Search

Trippas

2016

Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval

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This research investigates a new interface paradigm for interactive information retrieval (IIR) which forces us to shift away from the classic "ten blue links" search engine results page. Instead we investigate how to present search results through a conversation over a speech-only communication channel where no screen is available. Accessing information via speech is becoming increasingly pervasive and is already important for people with a visual impairment. However, presenting search results over a speech-only communication channel is challenging due to cognitive limitations and the transient nature of audio. Studies have indicated that the implementation of speech recognizers and screen readers must be carefully designed and cannot simply be added to an existing system. Therefore the aim of this research is to develop a new interaction framework for effective and efficient IIR over a speech-only channel: a Spoken Conversational Search System (SCSS) which provides a conversational approach to defining user information needs, presenting results and enabling search reformulations. In order to contribute to a more efficient and effective search experience when using a SCSS, we intend for a tighter integration between document search and conversational processes.

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Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Observational and Wizard Of Oz Experimentsmentioning

confidence: 99%

See 2 more Smart Citations

Spoken Conversational Search

Trippas

2016

Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval

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“…Also, their error-correction and revision is based on user's normative turn-taking behavior and does not allow the user to barge in with the intended correction. Yet, we argue, that the ability to bargein is crucial to eyes-free word processing to prevent sensory overload to user's short term memory owing to the linear [2,11,15] and temporal [2,18] nature of audio. Further, the context of use for the fluid speech model is currently limited to single sentence utterances.…”

Section: Introductionmentioning

confidence: 99%

EDITalk

Ghosh

Foong

Zhao

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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“Can You Search for Me?”: Understanding and ImprovingUser‐SystemDialogues for Complex Search Tasks

Ghosh

2021

Proceedings of the Association for Information Science and Tech

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Most voice-based personal assistants are suitable for simple tasks which are not conversational but single-turn question-answering. To address this limitation, we investigate the dialogue capabilities of commercial conversational systems and compare them to the standards expected by the users. We designed a set of moderately complex search tasks and used two popular personal assistants to evaluate the user-system interaction. A laboratorybased user study was conducted with twenty-five users and seventy-five search sessions to collect user-system conversational dialogues (for three search tasks). Next, we show that using a set of simple rules, which could be implemented in the immediate future, it is possible to improve the users' interaction experience and make the system more anthropomorphic. Using a conceptual prototype where a human (Wizard) played the role of the system (unknowing to the users), we demonstrate the efficacy of the guidelines and provide design recommendations for future conversational search systems.

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Evaluation of Mobile and Pervasive Speech Applications

Cited by 11 publications

References 40 publications

Spoken Conversational Search

Spoken Conversational Search

EDITalk

“Can You Search for Me?”: Understanding and ImprovingUser‐SystemDialogues for Complex Search Tasks

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