Elvis Ahmetović, Ignacio E. Grossmann , Zdravko Kravanja, Nidret Ibrić University of Tuzla, Faculty of Technology, Univerzitetska 8, 75000 Tuzla, Bosnia and Herzegovina; elvis.ahmetovic@untz.ba, nidret.ibric@untz.ba Carnegie Mellon University, Department of Chemical Engineering, 5000 Forbes Avenue, Pittsburgh 15213, Pennsylvania, grossmann@cmu.edu University of Maribor, Faculty of Chemistry and Chemical Engineering, Smetanova ulica 17, 2000 Maribor, Slovenia, zdravko.kravanja@um.si

: This letter studies a pilot sharing scheme for spectrum-sharing massive MIMO networks, where primary network (PN) can lease portion of orthogonal pilots to secondary network (SN) for channel estimation. We assume that PN and SN are rational and sel fi sh, and they aim at maximizing their revenue when pilots are traded. Then, we propose a price-based iterative optimal pilot allocation algorithm to obtain win-win paradigm, while guaranteeing the primary user ratio (PUR) of the primary cell. Simulation results reveal that PN can achieve more revenue by sacri fi cing limited pilots while decreasing total interference to adjacent cells.

We propose a half-day workshop to discuss two critical issues in contemporary research on socially assistive robots: systematizing methods for data collection in user studies and sharing data among researchers. Resolving these two issues can contribute to a speedy uptake of socially assistive robotics research with respect deployment in clinical settings. This workshop will open up discussion on the ways to address these two issues.

As technologies become more intelligent and interactive, studies have shown that people perceive and treat them as if they were human and alive. My PhD research seeks to understand designers' implementations and users' perceptions of embodied life-like characteristics in robots and interactive systems. This work will provide insights about how to design lifelike features in minimal interactive objects, and the purposes which we should design lifelike features for.

This paper presents the results of research aimed at developing a methodology for the participatory design of social robots, which are meant to be incorporated into various social contexts (e.g. home, work) and establish social relations with people. In contrast to the dominant technologically driven robot development process, we aim to develop a socially robust and responsible approach to robot design using Participatory Design (PD) methods. The PD process builds on participants' self-identified issues and concerns, and develops robot concepts according to participants' interpretations of the capabilities and potential applications of robotic technologies. We present methodological insights from an ongoing PD project aimed at designing socially assistive robots with older adults diagnosed with depression and their therapists, and identify remaining challenges in this project. We particularly focus on supporting mutual learning between researchers and participants and on promoting active participation of older adults as “designers” (rather than consumers) as foundational aspects of PD. We conclude with reflections regarding how this work can contribute to the further development of social robots and relevant PD methodologies.

Robots are expected to become present in society in increasing numbers, yet few studies in human-robot interaction (HRI) go beyond one-to-one interaction to examine how characteristics of robot groups will affect HRI. In particular, people may show more negative or aggressive behavior toward entitative (i.e., cohesive) robot groups, like they do toward entitative human groups, compared to diverse groups. Furthermore, because people in collectivist (e.g., Japan) and individualistic (e.g., US) cultures respond to groups and to cues of entitativity differently, entitative robot groups may affect people differently across such cultures. This study examines how robot Entitativity Condition (Single Robots, Diverse Group, Entitative Group) and Country (USA, Japan) affect emotions toward, mind attributions to, and willingness to interact with robots. Results indicate that Entitative robot groups, compared to Single robots, were viewed more negatively. Entitative robots were also more threatening than Diverse robots. Diverse robot groups, compared to Single robots, were viewed as having more mind, and participants were more willing to interact with them. These findings were similar in the USA and Japan. This indicates that robot group entitativity and diversity is critical to keep in mind when designing robots.