It is our great pleasure to welcome you to the ACM UMAP 2019 Workshops and Tutorials proceedings. In the 27th edition of the ACM Conference on User Modeling, Adaptation and Personalization, a total of 10 workshop and 3 tutorial proposal submissions were received for consideration. After a single-blind peer review process, 7 workshops and 2 tutorials were accepted. They were held in conjunction with the conference in Larnaca (Cyprus) on the 9th of June, 2019.
{"title":"UMAP 2019 Workshops & Tutorials Overview and Organization","authors":"M. Kravcík, Iván Cantador","doi":"10.1145/3314183.3325289","DOIUrl":"https://doi.org/10.1145/3314183.3325289","url":null,"abstract":"It is our great pleasure to welcome you to the ACM UMAP 2019 Workshops and Tutorials proceedings. In the 27th edition of the ACM Conference on User Modeling, Adaptation and Personalization, a total of 10 workshop and 3 tutorial proposal submissions were received for consideration. After a single-blind peer review process, 7 workshops and 2 tutorials were accepted. They were held in conjunction with the conference in Larnaca (Cyprus) on the 9th of June, 2019.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122321495","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}
F. Orji, Kiemute Oyibo, J. Greer, Julita Vassileva
Competition has been identified as an intrinsic motivation that could lead to successful outcomes in education. However, in Persuasive Technology in Education (PTE) research, there are limited studies showing its possible predictors. To advance research in this area, we conducted an empirical study among university students (N = 243) to uncover how extrinsic factors and social influence, which are external to learners, influence students' susceptibility to Competition. Specifically, we investigated how Social Learning, Social Comparison, and Reward, which are widely applied in persuasive technologies (PTs), influence Competition. Our results show that Social Comparison and Reward have significant influence on Competition, with Social Comparison (β = 0.52, p < 0.001) having a stronger influence than Reward (β = 0.29, p < 0.001). However, Social Learning (β = -0.07, p = n.s) has no significant effect on Competition. Our model accounts for about 41% of the variance of Competition. Moreover, our multigroup analysis reveals that there are no significant differences between males and females, indicating that our findings generalize across gender. These findings suggest that Social Comparison, Reward, and Competition are compatible strategies, which can be implemented together in a persuasive system for education. We discuss the implications of our findings
竞争被认为是一种内在动机，可以导致成功的教育结果。然而，在说服性教育技术(PTE)的研究中，显示其可能预测因素的研究有限。为了推进这一领域的研究，我们对大学生(N = 243)进行了实证研究，以揭示学习者外部的外在因素和社会影响如何影响学生的竞争易感性。具体来说，我们研究了广泛应用于说服技术(PTs)的社会学习、社会比较和奖励是如何影响竞争的。结果表明，社会比较和奖励对竞争有显著影响，其中社会比较(β = 0.52, p < 0.001)对竞争的影响强于奖励(β = 0.29, p < 0.001)。然而，社会学习对竞争没有显著影响(β = -0.07, p = n.s)。我们的模型约占竞争方差的41%。此外，我们的多组分析显示，男性和女性之间没有显著差异，表明我们的研究结果在性别之间具有普遍性。这些发现表明，社会比较、奖励和竞争是兼容的策略，它们可以在教育说服系统中一起实施。我们讨论了我们的发现的含义
{"title":"Drivers of Competitive Behavior in Persuasive Technology in Education","authors":"F. Orji, Kiemute Oyibo, J. Greer, Julita Vassileva","doi":"10.1145/3314183.3323850","DOIUrl":"https://doi.org/10.1145/3314183.3323850","url":null,"abstract":"Competition has been identified as an intrinsic motivation that could lead to successful outcomes in education. However, in Persuasive Technology in Education (PTE) research, there are limited studies showing its possible predictors. To advance research in this area, we conducted an empirical study among university students (N = 243) to uncover how extrinsic factors and social influence, which are external to learners, influence students' susceptibility to Competition. Specifically, we investigated how Social Learning, Social Comparison, and Reward, which are widely applied in persuasive technologies (PTs), influence Competition. Our results show that Social Comparison and Reward have significant influence on Competition, with Social Comparison (β = 0.52, p < 0.001) having a stronger influence than Reward (β = 0.29, p < 0.001). However, Social Learning (β = -0.07, p = n.s) has no significant effect on Competition. Our model accounts for about 41% of the variance of Competition. Moreover, our multigroup analysis reveals that there are no significant differences between males and females, indicating that our findings generalize across gender. These findings suggest that Social Comparison, Reward, and Competition are compatible strategies, which can be implemented together in a persuasive system for education. We discuss the implications of our findings","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571063","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}
Exploratory environments can overcome the limitations of keyword-based access, criticized for the difficulty of formulating specificqueries in large and complex domains and for its incapability ofpromoting personalized exploration paths. In this paper, we describe a task-based user study (n=16) aimed at testing the use ofa narrative model for supporting exploratory search in culturalheritage archives. The results show that a narrative model can actually support the exploration of cultural heritage archives, accommodating unknown and unexpected elements and relationsinto user-created paths, although further investigation on failed tasks is needed.
{"title":"Investigating the Effectiveness of Narrative Relations for the Exploration of Cultural Heritage Archives: A Case Study on the Labyrinth system","authors":"R. Damiano","doi":"10.1145/3314183.3323870","DOIUrl":"https://doi.org/10.1145/3314183.3323870","url":null,"abstract":"Exploratory environments can overcome the limitations of keyword-based access, criticized for the difficulty of formulating specificqueries in large and complex domains and for its incapability ofpromoting personalized exploration paths. In this paper, we describe a task-based user study (n=16) aimed at testing the use ofa narrative model for supporting exploratory search in culturalheritage archives. The results show that a narrative model can actually support the exploration of cultural heritage archives, accommodating unknown and unexpected elements and relationsinto user-created paths, although further investigation on failed tasks is needed.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124189909","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}
Marco Polignano, Pierpaolo Basile, M. Degemmis, G. Semeraro
The broad diffusion over the Internet of songs streaming services points out the need for implementing efficient and personalized strategies for incrementing the fidelity of the customers. This scenario can collect enough information about the user and the items for successfully design a Recommender System for the automatic continuation of playlists of digital contents. In particular, in this work we proposed a strategy for suggesting a set of tracks, starting from a list of songs played by the user, candidate as next to play. The list contains songs that are coherent with the main characteristics of songs already played. In order to collect enough information and for applying a recommendation strategy, we used third-party external sources of information. They provide data about the song, including its popularity, the emotion evoked by its lyrics, low and high-level audio features, lyrics and more. The system highlights the importance to use user-generated tags and emotional features for successfully predicts user next played songs.
{"title":"Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation","authors":"Marco Polignano, Pierpaolo Basile, M. Degemmis, G. Semeraro","doi":"10.1145/3314183.3323455","DOIUrl":"https://doi.org/10.1145/3314183.3323455","url":null,"abstract":"The broad diffusion over the Internet of songs streaming services points out the need for implementing efficient and personalized strategies for incrementing the fidelity of the customers. This scenario can collect enough information about the user and the items for successfully design a Recommender System for the automatic continuation of playlists of digital contents. In particular, in this work we proposed a strategy for suggesting a set of tracks, starting from a list of songs played by the user, candidate as next to play. The list contains songs that are coherent with the main characteristics of songs already played. In order to collect enough information and for applying a recommendation strategy, we used third-party external sources of information. They provide data about the song, including its popularity, the emotion evoked by its lyrics, low and high-level audio features, lyrics and more. The system highlights the importance to use user-generated tags and emotional features for successfully predicts user next played songs.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130847942","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}
Joni O. Salminen, Soon-Gyo Jung, João M. Santos, B. Jansen
We analyze the effect of a smile in personas pictures on persona perceptions, including credibility, likability, similarity, and willingness to use. We conduct an online experiment with 2,400 participants using a 16-item survey and multiple persona profile treatments of which half have a smiling photo and half do not. We find that persona profiles with a smiling photo result in an increase in perceived similarity with, likability of, and willingness to use the personas. In contrast, a smile does not increase the credibility of the personas. Our research has implications for the design of persona profiles and adds to previous findings of persona research that the picture choice influences individuals' persona perceptions in profound ways.
{"title":"The Effect of Smiling Pictures on Perceptions of Personas","authors":"Joni O. Salminen, Soon-Gyo Jung, João M. Santos, B. Jansen","doi":"10.1145/3314183.3324973","DOIUrl":"https://doi.org/10.1145/3314183.3324973","url":null,"abstract":"We analyze the effect of a smile in personas pictures on persona perceptions, including credibility, likability, similarity, and willingness to use. We conduct an online experiment with 2,400 participants using a 16-item survey and multiple persona profile treatments of which half have a smiling photo and half do not. We find that persona profiles with a smiling photo result in an increase in perceived similarity with, likability of, and willingness to use the personas. In contrast, a smile does not increase the credibility of the personas. Our research has implications for the design of persona profiles and adds to previous findings of persona research that the picture choice influences individuals' persona perceptions in profound ways.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132144937","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}
Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.
{"title":"Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis","authors":"Noemi Mauro","doi":"10.1145/3314183.3323862","DOIUrl":"https://doi.org/10.1145/3314183.3323862","url":null,"abstract":"Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114902853","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}
Research on user modeling and personalization typically only serves the needs of end-users. However, when applied in real-world, commercial contexts, recommendations should also serve the (often monetary) interests of other parties, such as platform providers, sellers and advertisers. This paper provides a brief historical perspective on the research field, contrasts this with the commercial context, and investigates the topics currently addressed at the UMAP and RecSys conferences. The paper concludes with a discussion on the need for the research community to take multi-stakeholder interests into account in the design and evaluation of adaptive systems. This would allow us to foresee unwanted effects, such as online filter bubbles, and to pro-actively find strategies to prevent them.
{"title":"The Need for Identifying Ways to Monetize Personalization and Recommendation","authors":"E. Herder","doi":"10.1145/3314183.3323844","DOIUrl":"https://doi.org/10.1145/3314183.3323844","url":null,"abstract":"Research on user modeling and personalization typically only serves the needs of end-users. However, when applied in real-world, commercial contexts, recommendations should also serve the (often monetary) interests of other parties, such as platform providers, sellers and advertisers. This paper provides a brief historical perspective on the research field, contrasts this with the commercial context, and investigates the topics currently addressed at the UMAP and RecSys conferences. The paper concludes with a discussion on the need for the research community to take multi-stakeholder interests into account in the design and evaluation of adaptive systems. This would allow us to foresee unwanted effects, such as online filter bubbles, and to pro-actively find strategies to prevent them.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123581047","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}
With the advent of cheap Android phones in the African Tech market, most people living in the rural areas of many African countries now have access to smartphones. These phones give them the opportunity to have an almost identical mobile phone experience as people living in urban areas or the Western world. This development opens a window of opportunity to leverage this high penetration of mobile devices to design application such as persuasive game interventions to assist individuals living in these communities to modify, change or shape their behaviours and attitudes in a desirable way. This paper explores the challenges and issues encountered in the design and use of persuasive mobile games as a tool to promote behaviour change among people living in the Rural African communities. It also highlights how these challenges affect the implementation of persuasive strategies, suggests design solutions for overcoming these challenges, and how persuasive games can be optimized to be appropriate for the target rural African populations. Some of these challenges are technically oriented (internet connectivity issues) while others are non-technically oriented (language diversity).
{"title":"Developing Persuasive Mobile Games for African Rural Audiences: Challenges implementing the Persuasive Techniques","authors":"Chinenye Ndulue, Rita Orji","doi":"10.1145/3314183.3323857","DOIUrl":"https://doi.org/10.1145/3314183.3323857","url":null,"abstract":"With the advent of cheap Android phones in the African Tech market, most people living in the rural areas of many African countries now have access to smartphones. These phones give them the opportunity to have an almost identical mobile phone experience as people living in urban areas or the Western world. This development opens a window of opportunity to leverage this high penetration of mobile devices to design application such as persuasive game interventions to assist individuals living in these communities to modify, change or shape their behaviours and attitudes in a desirable way. This paper explores the challenges and issues encountered in the design and use of persuasive mobile games as a tool to promote behaviour change among people living in the Rural African communities. It also highlights how these challenges affect the implementation of persuasive strategies, suggests design solutions for overcoming these challenges, and how persuasive games can be optimized to be appropriate for the target rural African populations. Some of these challenges are technically oriented (internet connectivity issues) while others are non-technically oriented (language diversity).","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121996221","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}
The spread of radical opinions, facilitated by homophilic Internet communities (echo chambers), has become a threat to the stability of societies around the globe. The concept of choice architecture--the design of choice information for consumers with the goal of facilitating societally beneficial decisions--provides a promising (although not uncontroversial) general concept to address this problem. The choice architecture approach is reflected in recent proposals advocating for recommender systems that consider the societal impact of their recommendations and not only strive to optimize revenue streams. However, the precise nature of the goal state such systems should work towards remains an open question. In this paper, we suggest that this goal state can be defined by considering target opinion spread in a society on different topics of interest as a multivariate normal distribution; i.e., while there is a diversity of opinions, most people have similar opinions on most topics. We explain why this approach is promising, and list a set of cross-disciplinary research challenges that need to be solved to advance the idea.
{"title":"Technology-facilitated Societal Consensus","authors":"Timotheus Kampik, A. Najjar","doi":"10.1145/3314183.3323451","DOIUrl":"https://doi.org/10.1145/3314183.3323451","url":null,"abstract":"The spread of radical opinions, facilitated by homophilic Internet communities (echo chambers), has become a threat to the stability of societies around the globe. The concept of choice architecture--the design of choice information for consumers with the goal of facilitating societally beneficial decisions--provides a promising (although not uncontroversial) general concept to address this problem. The choice architecture approach is reflected in recent proposals advocating for recommender systems that consider the societal impact of their recommendations and not only strive to optimize revenue streams. However, the precise nature of the goal state such systems should work towards remains an open question. In this paper, we suggest that this goal state can be defined by considering target opinion spread in a society on different topics of interest as a multivariate normal distribution; i.e., while there is a diversity of opinions, most people have similar opinions on most topics. We explain why this approach is promising, and list a set of cross-disciplinary research challenges that need to be solved to advance the idea.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124107450","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：