Pregled bibliografske jedinice broj: 232476
Subjective evaluation of animated talking faces
Subjective evaluation of animated talking faces // IEEE Third Workshop on Multimedia Signal Processing / Ostermann, Jörn ; Liu, K.J.Ray ; Sorensen, John Aasted ; Deprettere, Ed ; Kleijn, W. Bastiaan (ur.).
Kopenhagen, Danska, 1999. str. 451-456 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 232476 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Subjective evaluation of animated talking faces
Autori
Ostermann, Jörn ; Millen, David ; Pandžić, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IEEE Third Workshop on Multimedia Signal Processing
/ Ostermann, Jörn ; Liu, K.J.Ray ; Sorensen, John Aasted ; Deprettere, Ed ; Kleijn, W. Bastiaan - , 1999, 451-456
Skup
IEEE Third Workshop on Multimedia Signal Processing
Mjesto i datum
Kopenhagen, Danska, 13.09.1999. - 15.09.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Animated talking faces; subjective evaluation; human faces
Sažetak
Computer simulation of human faces has been an active research area for a long time, resulting in a multitude of facial models and several animation systems. Current interest for this technology is clearly shown by its inclusion in the MPEG-4 standard. However, it is less clear what the actual applications of Facial Animation (FA) will be. We have therefore undertaken experiments on 190 subjects in order to explore the benefits of FA. Part of the experiment was aimed at exploring the objective benefits, i.e. to see if FA can help users to perform certain tasks more accurately or efficiently. The other part of the experiment was aimed at more subjective benefits, like raising the level of appeal to the user, gaining more users' interest, filling in the waiting times for server access so the users do not get bored. We present the experiment design and the results. The results show that FA aids users in understanding spoken numbers in noisy conditions (error rates drop from 16% to 8%) ; that it can make waiting times more acceptable to the user ; and that it makes services more attractive to the users.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Igor Sunday Pandžić
(autor)