Spoken conversational search: Evaluating the effect of system clarifications on user experience through Wizard‐of‐Oz study.
Prior research in human–computer interaction suggests that system‐level clarifications are necessary for understanding user intent and communicating effectively with the user. Such clarifications or explanations could contain the system's abstract knowledge of the search or a functional description...
| Publicado en: | Journal of the Association for Information Science & Technology Vol. 76; no. 5; pp. 819 - 840 |
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| Autores principales: | , |
| Formato: | questionnaire/scale research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
May2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184338873&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184338873 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23301635 H6JN jtl: Journal of the Association for Information Science & Technology issn: 23301635 maglogo: N pubinfo: dt: May2025 vid: 76 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 184338873 181908061 184338873 184338873 10.1002/asi.24974 184338873 ppf: 819 ppct: 21 formats: tig: atl: Spoken conversational search: Evaluating the effect of system clarifications on user experience through Wizard‐of‐Oz study. aug: au: Ghosh, Souvick Shah, Chirag affil: School of Information, San José State University, San José California,, USA sug: subj: Voice Recognition Systems User-Computer Interface Consumer Satisfaction Speech Perception Conversation Task Performance and Analysis Human Adult Male Female Data Analysis, Statistical Quantitative Studies Wilcoxon Signed Rank Test Descriptive Statistics Information Seeking Behavior Artificial Intelligence Computer Literacy Students, College Information Retrieval Age Factors Sex Factors Educational Status Memory Adult: 19-44 years Male Female ab: Prior research in human–computer interaction suggests that system‐level clarifications are necessary for understanding user intent and communicating effectively with the user. Such clarifications or explanations could contain the system's abstract knowledge of the search or a functional description of the search process (queries and information sources employed). While these interactions may aid the user and the agent in better understanding each other, very few studies have explored the influence of such clarifications on the users' search experience. This research examines whether and how system‐level clarifications (or explanations) affect the user experience when searching through spoken dialogues. We analyzed user satisfaction and preferences in systems with and without explicit clarifications in a within‐subjects Wizard‐of‐Oz user study. We recruited 25 participants and collected user–system interaction data for 50 search sessions. The user feedback was collected using pre‐ and post‐task surveys and exit interviews. Statistical and qualitative analysis of user responses yielded some interesting findings. While Wilcoxon Signed Rank Test found that using explicit system‐level clarifications had no positive influence on the user's search experience, the overall search experience degraded with system clarifications (Z = −2.066, p = 0.04). The user interview data provided valuable insights into how and when clarifications should be offered to the user. pubtype: Academic Journal doctype: questionnaire/scale research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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