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From:
Styliani Kleanthous <[log in to unmask]>
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Styliani Kleanthous <[log in to unmask]>
Date:
Mon, 10 Apr 2017 12:00:27 +0300
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ACM UMAP Workshop - HAAPIE 2017 - THIRD CALL FOR PAPERS

The 2nd International Workshop on Human Aspects in Adaptive and 
Personalized Interactive Environments, in conjunction with the 25th ACM 
Conference on User Modeling, Adaptation and Personalization (ACM UMAP 
2017), Bratislava, Slovakia, 9-12 July 2017

Full details are available online: http://haapie.cs.ucy.ac.cy 
<http://haapie.cs.ucy.ac.cy/>

IMPORTANT DATES

Submission deadline: 20 April 2017
Notification: 20 May 2017
Camera-ready: 28 May 2017

MOTIVATION & GOALS

State-of-the-art approaches in adaptation and personalization research 
consider user models that mostly maintain information regarding the 
"traditional" user characteristics (i.e., experience, knowledge, 
interests, context), and related contextual or technology aspects (i.e., 
displays, connectivity, processing power). While modeling these factors 
has shown significant improvements and benefits to the end-users in 
terms of usability and user experience, still the needs of today's epoch 
signify the further engagement into research that will produce more 
holistic human-centered practices. The vision is to bring more 
inclusively the "human-in-the-loop", considering intrinsic user 
characteristics and abilities, like perceptual, personality, visual, 
cognitive and emotional factors as expressed by the theories of 
individual differences. In addition, recent studies show the need of 
broadening the scope of diversity parameters to include characteristics 
such as motivation, self-actualization, and socio-cultural differences.
The overarching goal of HAAPIE 2017 is to bring together researchers and 
practitioners working in the areas of human aspects in adaptation and 
personalization, and aims to:

- Explore state-of-the-art and new implicit and explicit methods and 
techniques of modeling a broad range of human factors of users and 
behaviors - both separately and in possible combinations (e.g., 
cognitive abilities and age; motivation and cultural differences);
- Explore personalization techniques, computational intelligence 
algorithms, recommendation models, and real-time paradigms that can 
improve the efficiency and effectiveness of user tasks and interventions;
- Compare challenges and experience in different real world contexts and 
applications (e.g., decision support, learning, wellbeing, security), 
where a holistic view on human aspects is needed to provide a positive 
user experience; and
- Identify theoretical and computational models for the design, 
development and evaluation of human aspects in adaptation and 
personalization.

The added value will be to shape new human-centered adaptive interactive 
environments and personalized platforms that can contribute towards 
long-term viable solutions.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:
- Human-centered Modeling, Adaptation Methods and Techniques
- Influence of Human Factors on Interactive Systems for Personalization
- Usage of Human Factors for Personalization
- Implicit and Explicit Detection of Human Factors for Personalization
- Human-centered Algorithms for Content Recommendation and Delivery
- Novel Human-centered Interaction Concepts and User Interfaces
- Individual Differences (Personality, Cognition, etc.)
- Synergy of Affective and Human Cognitive Factors
- Modeling Groups and Communities of Diverse Users
- Evaluation of Human Aspects in Adaptation and Personalization
- Personalized Access to Services Content
- User Experience
- Cultural and Language Diversity and Adaptation
- Age-specific Personalization and Adaptation
- Adaptation and Personalization for Users with Special Needs
- User Behavior and Behavior Change
- Context Awareness
- Human Aspects in Personalized Internet of Things Applications
- User-centric Cyber-Physical-Social Adaptive Systems
- Human Aspects in Social Adaptive Robots
- Adaptation and Personalization in Usable Privacy and Security
- Privacy Aspects of Modeling Human Factors in Personalization Systems

TYPES OF PAPERS

In HAAPIE 2017 we encourage original and relevant contributions focusing 
on experiences and lessons learned from real-life applications, current 
state-of-the-art methodologies, challenges tackled and solutions 
adopted, tools, algorithms, and services in the academic, public or 
private sector, studies, theories, techniques, and evaluation procedures 
that could support human-centered adaptation and personalization issues 
in various levels of interactive environments.
All workshop papers must contain original, previously unpublished, 
research work adhering the two publication types:

- Full research papers (6 pages, incl. references), proposing new 
approaches, innovative methods and research findings. They should make 
substantial theoretical and empirical contributions to the research field.
- Short research papers (4 pages, incl. references), presenting work in 
progress, lessons learnt, positions, emerging or future research issues 
and directions on human aspect challenges in the area.

Manuscripts should be formatted using the ACM Standard double-column 
(SIGCONF) templates 
(http://www.acm.org/publications/proceedings-template 
<http://www.acm.org/publications/proceedings-template>).

SUBMISSION & PUBLICATION

All papers will undergo a peer review process by at least two expert 
reviewers to ensure a high standard of quality. Referees will consider 
originality, significance, technical soundness, clarity of exposition, 
and relevance to the workshop's topics.
Research papers should be submitted electronically as a single PDF file 
through the EasyChair submission system 
(https://easychair.org/conferences/?conf=haapie2017 
<https://easychair.org/conferences/?conf=haapie2017>). Accepted papers 
will be published by ACM and will be available via the ACM Digital Library.

ORGANIZING COMMITTEE

Panagiotis Germanakos, SAP SE, DE & University of Cyprus, CY
Styliani Kleanthous-Loizou, University of Cyprus, CY
George Samaras, University of Cyprus, CY
Vania Dimitrova, University of Leeds, UK
Ben Steichen, Santa Clara University, USA


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