Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization最新文献_第2页

Psychographic Matching between a Call Center Agent and a Customer 呼叫中心座席与客户的心理匹配

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3456815

A. Kobayashi, Yuichi Ishikawa, R. Legaspi

{"title":"Psychographic Matching between a Call Center Agent and a Customer","authors":"A. Kobayashi, Yuichi Ishikawa, R. Legaspi","doi":"10.1145/3450613.3456815","DOIUrl":"https://doi.org/10.1145/3450613.3456815","url":null,"abstract":"The interpersonal compatibility of a company agent and a customer significantly affects the outcome of their communication. In existing research, however, compatibility has been studied only in terms of the similarity in personality and values. That is, agents and customers were compared only on the same dimensions that make up their personality and values, e.g., on the same trait of the Big Five (compared agent's Extraversion and customer's Extraversion) or same values as per Schwartz's Basic Values (agent's Conformity and customer's Conformity). In this paper, we studied compatibility from a broader perspective, i.e., in addition to the similarity, we investigated interactions across different dimensions (e.g., an agent's Extraversion and a customer's Conformity, or the former's Extraversion and the latter's Neuroticism). Examining 7,594 real call logs collected from telemarketing call centers, we have confirmed that such different dimensional interactions significantly affect a customer making a purchase (i.e., a customer's conversion) or not. A simulation where we matched agents and customers demonstrated that our compatibility model that incorporated the interactions across different dimensions yielded significant conversion lift, i.e., +46% on the average, compared from one that used only similarity in personality and values.","PeriodicalId":435674,"journal":{"name":"Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127030946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems 面向个人健康决策支持和推荐系统的用户集成框架

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3456816

Katja Herrmanny, Helma Torkamaan

{"title":"Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems","authors":"Katja Herrmanny, Helma Torkamaan","doi":"10.1145/3450613.3456816","DOIUrl":"https://doi.org/10.1145/3450613.3456816","url":null,"abstract":"Supporting personal health with Decision Support Systems (DSS) and, specifically, recommender systems (RS) is a promising and growing area of research. Integrating the user in the loop is vital in such health systems due to the complexity of recommendations, gravity of the decisions and the reliance on user autonomy. However, for such a purpose, to the best of our knowledge there exists no profound or comprehensive framework nor model to guide system designers, to exploit the full potential of integrating users in the system’s reasoning process by design. In this paper, we present a multifaceted user integration framework in personal health-related DSS and RS. This framework, with three main components, has been derived from an iterative mixed-methods development and evaluation procedure, including expert workshops and extensive multidisciplinary literature reviews. Users are accordingly integrated into the whole process from system reasoning until decision making through the following actionable design strategies: (1) Empower: Enabling them to understand the result generation and implications, (2) Encourage: encouraging them to question and reflect system outcomes and to get involved in the generation process and (3) Engage: enabling them to take an active role by facilitating and providing opportunities for user control. The framework offers support to designers of personal health-related DSS and RS in properly integrating users into their systems.","PeriodicalId":435674,"journal":{"name":"Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125763312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Leveraging Unstructured Text Within the Context of Conversational Agents 在会话代理的上下文中利用非结构化文本

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3459660

Maria Phillips

引用次数: 0

Personality and Engagement with Digital Mental Health Interventions 个性与数字心理健康干预的参与

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3456823

M. Khwaja, Svenja Pieritz, A. Faisal, A. Matic

引用次数: 7

”It’s like a puppet master”: User Perceptions of Personal Autonomy when Interacting with Intelligent Technologies “它就像一个木偶大师”:用户在与智能技术交互时对个人自主性的感知

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3456820

S. Sankaran, P. Markopoulos

引用次数: 4

Emotion Detection through Smartphone's Accelerometer and Gyroscope Sensors 通过智能手机的加速度计和陀螺仪传感器进行情绪检测

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3456822

Orestis Piskioulis, Katerina Tzafilkou, A. Economides

{"title":"Emotion Detection through Smartphone's Accelerometer and Gyroscope Sensors","authors":"Orestis Piskioulis, Katerina Tzafilkou, A. Economides","doi":"10.1145/3450613.3456822","DOIUrl":"https://doi.org/10.1145/3450613.3456822","url":null,"abstract":"Emotion recognition is essential for assessing human emotional states and predicting user behavior to provide appropriate and personalized feedback. The wide range of Smartphones with accelerometers, microphones, GPSs, gyroscopes, and more motivate researchers to explore the automatic emotion detection through Smartphone sensors. To this end, mobile sensing can facilitate the data retrieval process in a non-intrusive way without disturbing the user's experience. This study seeks to contribute to the field of non-intrusive mobile sensing for emotion recognition by detecting user emotions via accelerometer and gyroscope sensors in Smartphones. A prototype gaming app was designed and a sensor log app for Android OS was used to monitor the users’ sensor data while interacting with the game. The recorded data from 40 users was processed and used to train different classifiers for two emotions: a positive (enjoyment) and a negative (frustration) one. The validation study demonstrates a high prediction of 87.90% for enjoyment and 89.45% for frustration. Our findings indicate that by analyzing accelerometer and gyroscope data, it is possible to make efficient predictions of a user's emotional state. The proposed model and its empirical development and validation are described in this paper.","PeriodicalId":435674,"journal":{"name":"Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116064157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Ethical Considerations in User Modeling and Personalization 用户建模和个性化中的伦理考虑

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3457121

J. Tørresen

引用次数: 0

Do Users Have Contextual Preferencesfor Smartphone Power Management? 用户对智能手机电源管理有上下文偏好吗?

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3456813

Sophie Welber, Valerie Zhao, Claire Dolin, Olivia Morkved, H. Hoffmann, Blase Ur

{"title":"Do Users Have Contextual Preferencesfor Smartphone Power Management?","authors":"Sophie Welber, Valerie Zhao, Claire Dolin, Olivia Morkved, H. Hoffmann, Blase Ur","doi":"10.1145/3450613.3456813","DOIUrl":"https://doi.org/10.1145/3450613.3456813","url":null,"abstract":"Smartphones must balance power and performance. While most smartphones offer a power-saving mode, they typically provide a binary choice between full performance and monolithic performance degradation (e.g., reducing both screen brightness and processing speed) to save power. Could smartphones improve the user experience by automatically degrading only selected features based on the usage context? To gauge whether preferences for power-saving strategies vary by context, we conducted a 304-participant, survey-based experiment. Each participant was assigned a context (e.g., navigation) and degradation level. They viewed a series of side-by-side simulations of one smartphone operating normally in that context and another operating with reduced GPS accuracy, processing speed, or screen brightness. Participants rated their willingness to accept each tradeoff to save power. Contrasting current power-saving modes, we found that participants’ preferences did indeed vary by context. Using factor analysis to cluster preferences, we identified key personas that pave the way toward context-aware and self-aware alternatives to smartphone power-saving modes.","PeriodicalId":435674,"journal":{"name":"Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130352023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exploring Multi-List User Interfaces for Similar-Item Recommendations 探索多列表用户界面的类似项目推荐

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3456809

D. Jannach, Mathias Jesse, Michael Jugovac, C. Trattner

引用次数: 16

Adaptive Visualizations for Enhanced Data Understanding and Interpretation 增强数据理解和解释的自适应可视化

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2021-06-21 DOI: 10.1145/3450613.3459657

Christos Amyrotos

{"title":"Adaptive Visualizations for Enhanced Data Understanding and Interpretation","authors":"Christos Amyrotos","doi":"10.1145/3450613.3459657","DOIUrl":"https://doi.org/10.1145/3450613.3459657","url":null,"abstract":"In a data driven economy where data volume and dimensions are explosively increasing, businesses rely on business intelligence and analytics (BI&A) platforms for analysing their data and coming to beneficial decisions. With the ever-growing generation of data, the process of data analysis is becoming more complicated for the business users, as the exploration of more demanding use cases increases. While the existing BI&A platforms provide myriads of data visualizations that support data exploration, none of those account for the user’s individual differences, needs or requirements, and thus may hinder the user’s understanding of visual data and consequently their decision-making processes. This work embarks on an interdisciplinary endeavour to introduce a human-centred adaptive data visualizations framework in the context of business, as the core of an adaptive data analytics platform, that aims to enhance the business user’s decision making by increasing her understanding of data. The framework is built using a multi-dimensional human-centred user model that goes beyond traditional user characteristics and accounts for cognitive factors, domain expertise and experience and factors related to the business context i.e., data, visualizations and tasks; a data visualization engine that will recommend to the unique-user the best-fit data visualizations based on the abovementioned user model; and an intelligent data analytics component that enhances the efficiency and effectiveness of the data exploration process by leveraging user interactions during the explorations to further inform the user model on the user’s expertise and experience.","PeriodicalId":435674,"journal":{"name":"Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130676377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3