Accessing movies' emotional information

Emotional information is being used in several systems as a way to understand users while interacting with computers or as a way to explore content classification. Movies are a medium emotionally empowered and technological developments and trends for media convergence are turning video into a dominant and pervasive medium, and online video is becoming a growing entertainment activity on the web. In this paper we present a user interface for movies' emotion exploration based on a previous usability study. Felt - is an application for movie and users' emotions exploration as a way to access movies by its emotional properties or as a way of recommending movies by the analysis of users emotional profiles. In this paper we also propose novel interactive mechanisms for movie's emotions exploration.info:eu-repo/semantics/publishedVersio

Macro-and Micro-Expressions Facial Datasets: A Survey

Automatic facial expression recognition is essential for many potential applications. Thus, having a clear overview on existing datasets that have been investigated within the framework of face expression recognition is of paramount importance in designing and evaluating effective solutions, notably for neural networks-based training. In this survey, we provide a review of more than eighty facial expression datasets, while taking into account both macro-and micro-expressions. The proposed study is mostly focused on spontaneous and in-the-wild datasets, given the common trend in the research is that of considering contexts where expressions are shown in a spontaneous way and in a real context. We have also provided instances of potential applications of the investigated datasets, while putting into evidence their pros and cons. The proposed survey can help researchers to have a better understanding of the characteristics of the existing datasets, thus facilitating the choice of the data that best suits the particular context of their application

Inputs and outputs: engagement in digital media from the maker's perspective

In the process of developing a technology assembly that can objectively measure engagement on a moment-by-moment basis, subjective responses to stimuli must be shown to correlate with the component technologies, such as motion capture or psychophysiology. Subjective scales for engagement are not all consistent in segregating the measurement of causes (inputs to the audience) and effects (outputs from the audience); this lack of separation can obscure appropriate inferences in the relationship between cause and effect. Inputs to the audience are scripted, and are controllable by the maker. An output is what the designed experience engenders in the end-user, and outputs can include both mental states (satisfaction) and physical activities (heart rate) during the stimulus and subsequently. Inputs can be maximised by design, whereas to optimise outputs from the end-user, one needs an empirical process because outputs are dependent upon an interpretive process or entry into a biological system. Outputs will be highly dependent on audience and context, and they will often be quite variable, even in individuals from a similar audience profile. It is critical that, in instruments assessing the relationship between inputs and outputs, controllable inputs to the end-user must not be conflated with outputs engendered in the end-user

Humanization of robots: is it really such a good idea?

The aim of this review was to examine the pros and cons of humanizing social robots following a psychological perspective. As such, we had six goals. First, we defined what social robots are. Second, we clarified the meaning of humanizing social robots. Third, we presented the theoretical backgrounds for promoting humanization. Fourth, we conducted a review of empirical results of the positive effects and the negative effects of humanization on human–robot interaction (HRI). Fifth, we presented some of the political and ethical problems raised by the humanization of social robots. Lastly, we discussed the overall effects of the humanization of robots in HRI and suggested new avenues of research and development.info:eu-repo/semantics/publishedVersio

Cohousing IoT:Technology Design for Life In Community

This paper presents a research-through-design project to develop and interpret speculative smart home technologies for cohousing communities—Cohousing IoT. Fieldwork at multiple sites coupled to a constructive design research process led to three prototypes designed for cohousing communities: Cohousing Radio, Physical RSVP, and Participation Scales. These were brought back to the communities that inspired them as a form of evaluation, but also to generate new understandings of designing for cohousing. In discussing how they understand these prototypes, this paper offers an account of how research though design generates knowledge that is specific to the conditions and issues that matter to communities. This contributes to design research more broadly in two ways. First, it demonstrates how contemporary ideas of smart home technology are or could be made relevant to broader ways of living in the future. Second, it provides an example of how a design research process can serve to uncover community values, issues, and goals

Disentangling Fun and Enjoyment in Exergames Using an Expanded Design, Play, Experience Framework: A Narrative Review

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Building artificial personalities: expressive communication channels based on an interlingua for a human-robot dance

The development of artificial personalities requires that we develop a further understanding of how personality is communicated. This can be done through developing humanrobot interaction (HRI). In this paper we report on the development of the SpiderCrab robot. This uses an interlingua based on Laban Movement Analysis (LMA) to intermediate a human-robot dance. Specifically, we developed measurements to analyse data in real time from a simple vision system and implemented a simple stochastic dancing algorithm on a custom built robot. This shows how, through some simple rules, a personality can emerge by biasing random behaviour. The system was tested with professional dancers and members of the public and the results (formal and anecdotal) are presented herein