Preface to the special issue on harnessing personal tracking data for personalization and sense-making

Increasingly, people are making use of diverse digital services that create many types of personal data. The most recent addition to such services are self-tracking devices that are capable of creating very detailed personal activity records. The focus of this special issue is to explore how such activity records can be exploited to provide user-centric personalization services

Modeling a mobile group recommender system for tourism with intelligent agents and gamification

To provide recommendations to groups of people is a complex task, especially due to the group’s heterogeneity and conflicting preferences and personalities. This heterogeneity is even deeper in occasional groups formed for predefined tour packages in tourism. Group Recommender Systems (GRS) are being designed for helping in situations like those. However, many limitations can still be found, either on their time-consuming configurations and excessive intrusiveness to build the tourists’ profile, or in their lack of concern for the tourists’ interests during the planning and tours, like feeling a greater liberty, diminish the sense of fear/being lost, increase their sense of companionship, and promote the social interaction among them without losing a personalized experience. In this paper, we propose a conceptual model that intends to enhance GRS for tourism by using gamification techniques, intelligent agents modeled with the tourists’ context and profile, such as psychological and socio-cultural aspects, and dialogue games between the agents for the post-recommendation process. Some important aspects of a GRS for tourism are also discussed, opening the way for the proposed conceptual model, which we believe will help to solve the identified limitations.This work was supported by the GrouPlanner Project (POCI-01-0145-FEDER-29178) and by National Funds through the FCT –Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Projects UID/CEC/00319/2019 and UID/EEA/00760/2019

NightSplitter: a scheduling tool to optimize (sub)group activities

International audienceHumans are social animals and usually organize activities in groups. However, they are often willing to split temporarily a bigger group in subgroups to enhance their preferences. In this work we present NightSplitter, an on-line tool that is able to plan movie and dinner activities for a group of users, possibly splitting them in subgroups to optimally satisfy their preferences. We first model and prove that this problem is NP-complete. We then use Constraint Programming (CP) or alternatively Simulated Annealing (SA) to solve it. Empirical results show the feasibility of the approach even for big cities where hundreds of users can select among hundreds of movies and thousand of restaurants

Community service provider perceptions of implementing older adult fall prevention in Ontario, Canada: a qualitative study

Abstract Background Despite evidence for effective fall prevention interventions, measurable reductions in older adult (≥ 65 years) fall rates remain unrealized. This study aimed to describe the perceived barriers to and effective strategies for the implementation of evidence-based fall prevention practices within and across diverse community organizations. This study is unique in that it included community service providers who are not generally thought to provide fall prevention services to older adults, such as retail business, community support, volunteer services, community foundations, recreation centres, and various emergency services. Methods Interviews and focus groups were conducted with a purposive sampling of providers (n = 84) in varied roles within diverse community-based organizations across disparate geographical settings. Results Community service providers experience significant multi-level barriers to fall prevention within and across organizations and settings. The overall challenge of serving dispersed populations in adverse environmental conditions was heightened in northern rural areas. Barriers across the system, within organizations and among providers themselves emerged along themes of Limited Coordination of Communication, Restrictive Organizational Mandates and Policies, Insufficient Resources, and Beliefs about Aging and Falls. Participants perceived that Educating Providers, Working Together, and Changing Policies and Legislation were strategies that have worked or would work well in implementing fall prevention. An unintentional observation was made that several participants in this extremely varied sample identified expanded roles in fall prevention for themselves during the interview process. Conclusions Community service providers experience disabling contexts for implementing fall prevention on many levels: their specific geography, their service systems, their organizations and themselves. A systemic lack of fit between the older adult and fall prevention services limits access, making fall prevention inaccessible, unaccommodating, unavailable, unaffordable, and unacceptable. Educating Providers, Working Together, and Changing Policies and Legislation offers promise to create more enabling contexts for community stakeholders, including those who do not initially see their work as preventing falls