Personalized Human-Computer Interaction /:
Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users' needs. User models can be inferred from implicitly observed information, such as the user's interaction history or current location, or from explicitly entered in...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
München ; Wien :
De Gruyter Oldenbourg,
[2019]
|
| Schriftenreihe: | De Gruyter STEM
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users' needs. User models can be inferred from implicitly observed information, such as the user's interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces. |
| Beschreibung: | 1 online resource (xiii, 306 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9783110552614 3110552612 |
Internformat
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| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (xiii, 306 pages) : |b illustrations | ||
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| 505 | 0 | 0 | |t Frontmatter -- |t Introduction -- |t Contents -- |t List of Contributing Authors -- |t Part I: Foundations of user modeling -- |t 1. Theory-grounded user modeling for personalized HCI / |r Graus, Mark P. / Ferwerda, Bruce -- |t 2. Opportunities and challenges of utilizing personality traits for personalization in HCI / |r Völkel, Sarah Theres / Schödel, Ramona / Buschek, Daniel / Stachl, Clemens / Au, Quay / Bischl, Bernd / Bühner, Markus / Hussmann, Heinrich -- |t Part II: User input and feedback -- |t 3. Automated personalization of input methods and processes / |r Augstein, Mirjam / Neumayr, Thomas -- |t 4. How to use socio-emotional signals for adaptive training / |r Moebert, Tobias / Schneider, Jan N. / Zoerner, Dietmar / Tscherejkina, Anna / Lucke, Ulrike -- |t 5. Explanations and user control in recommender systems / |r Jannach, Dietmar / Jugovac, Michael / Nunes, Ingrid -- |t Part III: Personalization approaches -- |t 6. Tourist trip recommendations -- foundations, state of the art, and challenges / |r Herzog, Daniel / Dietz, Linus W. / Wörndl, Wolfgang -- |t 7. Pictures as a tool for matching tourist preferences with destinations / |r Grossmann, Wilfried / Sertkan, Mete / Neidhardt, Julia / Werthner, Hannes -- |t 8. Towards personalized virtual reality touring through cross-object user interfaces / |r Li, Xiangdong / Zhou, Yunzhan / Chen, Wenqian / Hansen, Preben / Geng, Weidong / Sun, Lingyun -- |t 9. User awareness in music recommender systems / |r Knees, Peter / Schedl, Markus / Ferwerda, Bruce / Laplante, Audrey -- |t 10. Personalizing the user interface for people with disabilities / |r Abascal, Julio / Arbelaitz, Olatz / Gardeazabal, Xabier / Muguerza, Javier / Pérez, J. Eduardo / Valencia, Xabier / Yera, Ainhoa -- |t 11. Adaptive workplace learning assistance / |r Kravčík, Miloš -- |t Index |
| 520 | |a Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users' needs. User models can be inferred from implicitly observed information, such as the user's interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces. | ||
| 588 | 0 | |a Online resource; title from PDF title page (publisher's Web site, viewed 22. Okt 2019). | |
| 588 | 0 | |a Print version record. | |
| 546 | |a In English. | ||
| 650 | 0 | |a Human-computer interaction. |0 http://id.loc.gov/authorities/subjects/sh88003229 | |
| 650 | 7 | |a Human-computer interaction |2 fast | |
| 700 | 1 | |a Augstein, Mirjam, |e editor. | |
| 700 | 1 | |a Herder, Eelco, |e editor. | |
| 700 | 1 | |a Wörndl, Wolfgang, |d 1969- |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjvwv4GcCqFDjTMtBthXQy |0 http://id.loc.gov/authorities/names/no2020043469 | |
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| author2 | Augstein, Mirjam Herder, Eelco Wörndl, Wolfgang, 1969- |
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| author_GND | http://id.loc.gov/authorities/names/no2020043469 |
| author_additional | Graus, Mark P. / Ferwerda, Bruce -- Völkel, Sarah Theres / Schödel, Ramona / Buschek, Daniel / Stachl, Clemens / Au, Quay / Bischl, Bernd / Bühner, Markus / Hussmann, Heinrich -- Augstein, Mirjam / Neumayr, Thomas -- Moebert, Tobias / Schneider, Jan N. / Zoerner, Dietmar / Tscherejkina, Anna / Lucke, Ulrike -- Jannach, Dietmar / Jugovac, Michael / Nunes, Ingrid -- Herzog, Daniel / Dietz, Linus W. / Wörndl, Wolfgang -- Grossmann, Wilfried / Sertkan, Mete / Neidhardt, Julia / Werthner, Hannes -- Li, Xiangdong / Zhou, Yunzhan / Chen, Wenqian / Hansen, Preben / Geng, Weidong / Sun, Lingyun -- Knees, Peter / Schedl, Markus / Ferwerda, Bruce / Laplante, Audrey -- Abascal, Julio / Arbelaitz, Olatz / Gardeazabal, Xabier / Muguerza, Javier / Pérez, J. Eduardo / Valencia, Xabier / Yera, Ainhoa -- Kravčík, Miloš -- |
| author_facet | Augstein, Mirjam Herder, Eelco Wörndl, Wolfgang, 1969- |
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| contents | Frontmatter -- Introduction -- Contents -- List of Contributing Authors -- Part I: Foundations of user modeling -- 1. Theory-grounded user modeling for personalized HCI / 2. Opportunities and challenges of utilizing personality traits for personalization in HCI / Part II: User input and feedback -- 3. Automated personalization of input methods and processes / 4. How to use socio-emotional signals for adaptive training / 5. Explanations and user control in recommender systems / Part III: Personalization approaches -- 6. Tourist trip recommendations -- foundations, state of the art, and challenges / 7. Pictures as a tool for matching tourist preferences with destinations / 8. Towards personalized virtual reality touring through cross-object user interfaces / 9. User awareness in music recommender systems / 10. Personalizing the user interface for people with disabilities / 11. Adaptive workplace learning assistance / Index |
| ctrlnum | (OCoLC)1143218948 |
| dewey-full | 004 |
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| dewey-ones | 004 - Computer science |
| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| indexdate | 2024-07-16T15:04:28Z |
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| isbn | 9783110552614 3110552612 |
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| record_format | marc |
| series2 | De Gruyter STEM |
| spelling | Personalized Human-Computer Interaction / edited by Mirjam Augstein, Eelco Herder, and Wolfgang Wörndl. München ; Wien : De Gruyter Oldenbourg, [2019] ©2019 1 online resource (xiii, 306 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file De Gruyter STEM Includes bibliographical references and index. Frontmatter -- Introduction -- Contents -- List of Contributing Authors -- Part I: Foundations of user modeling -- 1. Theory-grounded user modeling for personalized HCI / Graus, Mark P. / Ferwerda, Bruce -- 2. Opportunities and challenges of utilizing personality traits for personalization in HCI / Völkel, Sarah Theres / Schödel, Ramona / Buschek, Daniel / Stachl, Clemens / Au, Quay / Bischl, Bernd / Bühner, Markus / Hussmann, Heinrich -- Part II: User input and feedback -- 3. Automated personalization of input methods and processes / Augstein, Mirjam / Neumayr, Thomas -- 4. How to use socio-emotional signals for adaptive training / Moebert, Tobias / Schneider, Jan N. / Zoerner, Dietmar / Tscherejkina, Anna / Lucke, Ulrike -- 5. Explanations and user control in recommender systems / Jannach, Dietmar / Jugovac, Michael / Nunes, Ingrid -- Part III: Personalization approaches -- 6. Tourist trip recommendations -- foundations, state of the art, and challenges / Herzog, Daniel / Dietz, Linus W. / Wörndl, Wolfgang -- 7. Pictures as a tool for matching tourist preferences with destinations / Grossmann, Wilfried / Sertkan, Mete / Neidhardt, Julia / Werthner, Hannes -- 8. Towards personalized virtual reality touring through cross-object user interfaces / Li, Xiangdong / Zhou, Yunzhan / Chen, Wenqian / Hansen, Preben / Geng, Weidong / Sun, Lingyun -- 9. User awareness in music recommender systems / Knees, Peter / Schedl, Markus / Ferwerda, Bruce / Laplante, Audrey -- 10. Personalizing the user interface for people with disabilities / Abascal, Julio / Arbelaitz, Olatz / Gardeazabal, Xabier / Muguerza, Javier / Pérez, J. Eduardo / Valencia, Xabier / Yera, Ainhoa -- 11. Adaptive workplace learning assistance / Kravčík, Miloš -- Index Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users' needs. User models can be inferred from implicitly observed information, such as the user's interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces. Online resource; title from PDF title page (publisher's Web site, viewed 22. Okt 2019). Print version record. In English. Human-computer interaction. http://id.loc.gov/authorities/subjects/sh88003229 Human-computer interaction fast Augstein, Mirjam, editor. Herder, Eelco, editor. Wörndl, Wolfgang, 1969- editor. https://id.oclc.org/worldcat/entity/E39PCjvwv4GcCqFDjTMtBthXQy http://id.loc.gov/authorities/names/no2020043469 has work: Personalized human-computer interaction (Text) https://id.oclc.org/worldcat/entity/E39PCGTVxcMW7kgcrrJmDwPVJC https://id.oclc.org/worldcat/ontology/hasWork Print version: Personalized Human-Computer Interaction. München ; Wien : De Gruyter Oldenbourg, [2019] 3110552477 (OCoLC)1100997517 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2330453 Volltext |
| spellingShingle | Personalized Human-Computer Interaction / Frontmatter -- Introduction -- Contents -- List of Contributing Authors -- Part I: Foundations of user modeling -- 1. Theory-grounded user modeling for personalized HCI / 2. Opportunities and challenges of utilizing personality traits for personalization in HCI / Part II: User input and feedback -- 3. Automated personalization of input methods and processes / 4. How to use socio-emotional signals for adaptive training / 5. Explanations and user control in recommender systems / Part III: Personalization approaches -- 6. Tourist trip recommendations -- foundations, state of the art, and challenges / 7. Pictures as a tool for matching tourist preferences with destinations / 8. Towards personalized virtual reality touring through cross-object user interfaces / 9. User awareness in music recommender systems / 10. Personalizing the user interface for people with disabilities / 11. Adaptive workplace learning assistance / Index Human-computer interaction. http://id.loc.gov/authorities/subjects/sh88003229 Human-computer interaction fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh88003229 |
| title | Personalized Human-Computer Interaction / |
| title_alt | Frontmatter -- Introduction -- Contents -- List of Contributing Authors -- Part I: Foundations of user modeling -- 1. Theory-grounded user modeling for personalized HCI / 2. Opportunities and challenges of utilizing personality traits for personalization in HCI / Part II: User input and feedback -- 3. Automated personalization of input methods and processes / 4. How to use socio-emotional signals for adaptive training / 5. Explanations and user control in recommender systems / Part III: Personalization approaches -- 6. Tourist trip recommendations -- foundations, state of the art, and challenges / 7. Pictures as a tool for matching tourist preferences with destinations / 8. Towards personalized virtual reality touring through cross-object user interfaces / 9. User awareness in music recommender systems / 10. Personalizing the user interface for people with disabilities / 11. Adaptive workplace learning assistance / Index |
| title_auth | Personalized Human-Computer Interaction / |
| title_exact_search | Personalized Human-Computer Interaction / |
| title_full | Personalized Human-Computer Interaction / edited by Mirjam Augstein, Eelco Herder, and Wolfgang Wörndl. |
| title_fullStr | Personalized Human-Computer Interaction / edited by Mirjam Augstein, Eelco Herder, and Wolfgang Wörndl. |
| title_full_unstemmed | Personalized Human-Computer Interaction / edited by Mirjam Augstein, Eelco Herder, and Wolfgang Wörndl. |
| title_short | Personalized Human-Computer Interaction / |
| title_sort | personalized human computer interaction |
| topic | Human-computer interaction. http://id.loc.gov/authorities/subjects/sh88003229 Human-computer interaction fast |
| topic_facet | Human-computer interaction. Human-computer interaction |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2330453 |
| work_keys_str_mv | AT augsteinmirjam personalizedhumancomputerinteraction AT herdereelco personalizedhumancomputerinteraction AT worndlwolfgang personalizedhumancomputerinteraction |