User Modeling and User-Adapted Interaction最新文献_第6页

Preface to the special issue on personalization and adaptation in human–robot interactive communication 人与机器人互动交流中的个性化和适应性特刊前言

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-04-01 DOI: 10.1007/s11257-023-09365-y

Silvia Rossi, M. Staffa, M. D. Graaf, Cristina Gena

引用次数: 1

Deploying a robotic positive psychology coach to improve college students' psychological well-being. 部署机器人积极心理学教练提高大学生心理健康水平

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-04-01 Epub Date: 2022-07-11 DOI: 10.1007/s11257-022-09337-8

Sooyeon Jeong, Laura Aymerich-Franch, Kika Arias, Sharifa Alghowinem, Agata Lapedriza, Rosalind Picard, Hae Won Park, Cynthia Breazeal

{"title":"Deploying a robotic positive psychology coach to improve college students' psychological well-being.","authors":"Sooyeon Jeong, Laura Aymerich-Franch, Kika Arias, Sharifa Alghowinem, Agata Lapedriza, Rosalind Picard, Hae Won Park, Cynthia Breazeal","doi":"10.1007/s11257-022-09337-8","DOIUrl":"10.1007/s11257-022-09337-8","url":null,"abstract":"Despite the increase in awareness and support for mental health, college students' mental health is reported to decline every year in many countries. Several interactive technologies for mental health have been proposed and are aiming to make therapeutic service more accessible, but most of them only provide one-way passive contents for their users, such as psycho-education, health monitoring, and clinical assessment. We present a robotic coach that not only delivers interactive positive psychology interventions but also provides other useful skills to build rapport with college students. Results from our on-campus housing deployment feasibility study showed that the robotic intervention showed significant association with increases in students' psychological well-being, mood, and motivation to change. We further found that students' personality traits were associated with the intervention outcomes as well as their working alliance with the robot and their satisfaction with the interventions. Also, students' working alliance with the robot was shown to be associated with their pre-to-post change in motivation for better well-being. Analyses on students' behavioral cues showed that several verbal and nonverbal behaviors were associated with the change in self-reported intervention outcomes. The qualitative analyses on the post-study interview suggest that the robotic coach's companionship made a positive impression on students, but also revealed areas for improvement in the design of the robotic coach. Results from our feasibility study give insight into how learning users' traits and recognizing behavioral cues can help an AI agent provide personalized intervention experiences for better mental health outcomes.","PeriodicalId":49388,"journal":{"name":"User Modeling and User-Adapted Interaction","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11086679/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44840154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario 护理场景中设备性能和代理建议对用户信任和行为的影响

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-03-30 DOI: 10.1007/s11257-023-09357-y

Ingrid Zukerman, Andisheh Partovi, J. Hohwy

引用次数: 0

Clustering of conversational bandits with posterior sampling for user preference learning and elicitation 用于用户偏好学习和启发的后验抽样会话土匪聚类

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-03-06 DOI: 10.1007/s11257-023-09358-x

Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li

引用次数: 0

Acknowledgment to reviewers 评审员致谢

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-02-01 DOI: 10.1007/s11257-009-9070-8

F. Bohnert, C. Busso, C. Conati, Ella Haig, M. Desmarais, V. Dimitrova, H. Dybkjær, D. Heckmann, V. Hollink, V. L. Jaquero, Patrick Jermann, S. McNee, C. Papatheodorou, Rupa Parameswaran, Dimitris Pierrakos, P. Pu, C. Rich, D. Rosaci, Anthony Savidis, S. Schiaffino, N. Sebe, Mayumi Ueda, D. Vogiatzis, Stefan Weibelzahl, Yi Zhang

引用次数: 0

Acknowledgment to reviewers 评审员致谢

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-02-01 DOI: 10.1007/s11257-017-9197-y

T. Hammond, Simon Harper, Christoffer Holmgård, R. Jäschke, Markus Kächele, Helena Lindgren, G. Miklau, Yashar Moshfeghi, Radek Pelánek, Sergey Sosnovsky, M. Specht, Stephan Weibelzahl, M. Yudelson

引用次数: 0

Use of topical and temporal profiles and their hybridisation for content-based recommendation 在基于内容的推荐中使用主题和时间概况及其混合

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-01-23 DOI: 10.1007/s11257-022-09354-7

Luis M. de Campos, J. M. Fernández-Luna, J. Huete

引用次数: 0

Enhancing user awareness on inferences obtained from fitness trackers data. 提高用户对从健身追踪器数据中获得的推论的认识。

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-01-17 DOI: 10.1007/s11257-022-09353-8

Alexia Dini Kounoudes, Georgia M Kapitsaki, Ioannis Katakis

{"title":"Enhancing user awareness on inferences obtained from fitness trackers data.","authors":"Alexia Dini Kounoudes, Georgia M Kapitsaki, Ioannis Katakis","doi":"10.1007/s11257-022-09353-8","DOIUrl":"10.1007/s11257-022-09353-8","url":null,"abstract":"In the IoT era, sensitive and non-sensitive data are recorded and transmitted to multiple service providers and IoT platforms, aiming to improve the quality of our lives through the provision of high-quality services. However, in some cases these data may become available to interested third parties, who can analyse them with the intention to derive further knowledge and generate new insights about the users, that they can ultimately use for their own benefit. This predicament raises a crucial issue regarding the privacy of the users and their awareness on how their personal data are shared and potentially used. The immense increase in fitness trackers use has further increased the amount of user data generated, processed and possibly shared or sold to third parties, enabling the extraction of further insights about the users. In this work, we investigate if the analysis and exploitation of the data collected by fitness trackers can lead to the extraction of inferences about the owners routines, health status or other sensitive information. Based on the results, we utilise the PrivacyEnhAction privacy tool, a web application we implemented in a previous work through which the users can analyse data collected from their IoT devices, to educate the users about the possible risks and to enable them to set their user privacy preferences on their fitness trackers accordingly, contributing to the personalisation of the provided services, in respect of their personal data.","PeriodicalId":49388,"journal":{"name":"User Modeling and User-Adapted Interaction","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843666/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9131438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How do item features and user characteristics affect users’ perceptions of recommendation serendipity? A cross-domain analysis 项目特征和用户特征如何影响用户对推荐偶然性的感知？跨领域分析

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-01-17 DOI: 10.1007/s11257-022-09356-5

Ningxia Wang, L. Chen

引用次数: 1

What we see is what we do: a practical Peripheral Vision-Based HMM framework for gaze-enhanced recognition of actions in a medical procedural task 我们所看到的就是我们所做的：一个实用的基于外围视觉的HMM框架，用于在医疗程序任务中增强对动作的凝视识别

IF 3.6 3区计算机科学

User Modeling and User-Adapted Interaction Pub Date : 2023-01-04 DOI: 10.1007/s11257-022-09352-9

F. Wang, Thomas Kreiner, Alexander Lutz, Q. Lohmeyer, M. Meboldt

引用次数: 3