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From:
Styliani Kleanthous Loizou <[log in to unmask]>
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Styliani Kleanthous Loizou <[log in to unmask]>
Date:
Wed, 28 Feb 2018 09:44:26 +0200
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Apologies for cross-postings!



ACM UMAP Workshop - HAAPIE 2018

The 3nd International Workshop on Human Aspects in Adaptive and
Personalized Interactive Environments, in conjunction with the 26th
ACM Conference on User Modeling, Adaptation and Personalization (ACM
UMAP 2018), Singapore, 8-11 July 2018

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

IMPORTANT DATES

Submission deadline: 20 April 2018
Notification: 15 May 2018
Camera-ready: 27 May 2018

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 user experience, there is an urgent need for a
step change signifying the further engagement into research that will
produce more holistic human-centered practices. The vision is to
highlight the “human-in-the-loop” approach considering intrinsic user
characteristics and abilities, like perceptual, personality, visual,
cognitive and emotional factors adhering the theories of individual
differences. Moreover, recent studies show the need for broadening the
scope of diversity parameters to include characteristics such as
motivation, self-actualization, and socio-cultural differences.
The overarching goal of HAAPIE 2018 is to bring together researchers
and practitioners working in areas of human aspects in adaptation and
personalization, and aims to:

- Explore state-of-the-art and new implicit and explicit methods and
techniques for 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 methods, computational intelligence
algorithms, recommendation models, and real-time paradigms that can
improve the efficiency and effectiveness of human-centered user tasks
and interventions;
- Compare challenges and experiences 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 viable long-term 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, Gender, Age, 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 in Human-centered Systems
- Cultural and Language Diversity and Adaptation
- Age-specific Personalization and Adaptation
- Adaptation and Personalization for Users with Special Needs
- Personalization and Adaptation for Behavior Change
- User 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 & Ethical Aspects of Modeling Human Factors in Personalization Systems

TYPES OF PAPERS

In HAAPIE 2018 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 abiding 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).

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=haapie2018). 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, California State Polytechnic Uni., Pomona, USA
Alicja Piotrkowicz, University of Leeds, UK

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