Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!

Znaleziono wyników: 4

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  affective computing
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
This paper concerns measurement procedures on an emotion monitoring stand designed for tracking human emotions in the Human-Computer Interaction with physiological characteristics. The paper addresses the key problem of physiological measurements being disturbed by a motion typical for human-computer interaction such as keyboard typing or mouse movements. An original experiment is described, that aimed at practical evaluation of measurement procedures performed at the emotion monitoring stand constructed at GUT. Different locations of sensors were considered and evaluated for suitability and measurement precision in the Human- Computer Interaction monitoring. Alternative locations (ear lobes and forearms) for skin conductance, blood volume pulse and temperature sensors were proposed and verified. Alternative locations proved correlation with traditional locations as well as lower sensitiveness to movements like typing or mouse moving, therefore they can make a better solution for monitoring the Human-Computer Interaction.
PL
Informatyka afektywna (ang. affective computing - AC) próbuje wypełnić komunikacyjną lukę pomiędzy emocjonalnym człowiekiem/użytkownikiem a komputerami przez rozwijanie systemów rozpoznających emocje i reagujących na nie. Technologie rozwinięte w ostatnich latach, takie jak śledzenie gestykulacji, śledzenie ruchów ciała i postawy, przechwytywanie ekspresji twarzy czy pomiar i analiza cech akustycznych mowy mogą być użyte w interfejsach wielomodalnych do odbierania i generacji emocji. Autorzy przedstawiają kluczowe zagadnienia z tego obszaru oraz próbują ocenić zakres, w jakim dostępne możliwości zostały wykorzystane, w tym w zastosowaniach wojskowych.
EN
Affective Computing (abbr. AC) attempts to fill the communicative gap between the highly emotional human/user and computers by developing computational systems recognising and responding to the affective states. Technologies which have been developed in recent years, such as body gesture and movement processing, facial expression recognition, emotional speech processing, can be used in affective multimodal systems to the perception and generation of affects. The authors discuss key topics in current research and aim at investigating the extent to which the available opportunities are being exploited, including military applications.
3
Content available remote An Insight Into The Z-number Approach To CWW
EN
The Z-number is a new fuzzy-theoretic concept, proposed by Zadeh in 2011. It extends the basic philosophy of Computing With Words (CWW) to include the perception of uncertainty of the information conveyed by a natural language statement. The Z-number thus, serves as a model of linguistic summarization of natural language statements, a technique to merge human-affective perspectives with CWW, and consequently can be envisaged to play a radical role in the domain of CWW-based system design and Natural Language Processing (NLP). This article presents a comprehensive investigation of the Z-number approach to CWW. We present here: a) an outline of our understanding of the generic architecture, algorithm and challenges underlying CWW in general; b) a detailed study of the Z-number methodology - where we propose an algorithm for CWW using Z-numbers, define a Z-number based operator for the evaluation of the level of requirement satisfaction, and describe simulation experiments of CWW utilizing Z-numbers; and c) analyse the strengths and the challenges of the Z-numbers, and suggest possible solution strategies. We believe that this article would inspire research on the need for inclusion of human-behavioural aspects into CWW, as well as the integration of CWW and NLP.
EN
Emotions are an increasingly important factor in Human-Computer Interaction (HCI). Up to the present, emotion recognition in HCI implies the use of explicit or intrusive methods, for example, video cameras or physiological measurements. We are developing and evaluating a method for the measurement of affective states through motor-behavioral parameters from standard input devices (mouse and keyboard).
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.