Pressure as indirect feedback in an affective game
Authors
Mathiesen, Mads ; Ustrup, Ea Ehrnberg ; Poulsen, Joakim Have
Term
4. term
Education
Publication year
2019
Submitted on
2019-05-24
Pages
62
Abstract
Mange såkaldte affektive spil – spil der reagerer på spillerens følelser – forsøger at aflæse følelsestilstande via fysiologiske signaler fra kroppen. Det kræver dog indgribende dataindsamling og særligt udstyr. Derfor undersøges andre former for feedback. Ét lovende mål er det tryk, spilleren lægger på inputenheden, som kan hænge sammen med følelsesmæssig aktivering. Alligevel er denne type feedback endnu ikke afprøvet i en konkret spilimplementering. Dette projekt undersøger, om tryk kan integreres som feedback i et affektivt spil, der tilpasser sværhedsgraden løbende (Dynamic Difficulty Adjustment, DDA). Vi udviklede to DDA-systemer: ét baseret på præstation i spillet og ét baseret på det tryk, spilleren udøver. Vi sammenlignede dem med en version uden DDA. Trykbaseret DDA gav en mere passende sværhedsgrad end ingen DDA. Dog gav trykbaseret DDA ikke en bedre subjektiv spilleroplevelse end de andre versioner.
Many affective games—games that respond to players’ emotions—aim to sense emotions using physiological signals from the body. This can be intrusive and requires special sensors, so researchers explore other kinds of feedback. One promising measure is the pressure a player applies to the input device, which relates to emotional arousal. Yet this has not been implemented in an actual game. This project explores integrating pressure as feedback in an affective game that adapts its difficulty in real time (Dynamic Difficulty Adjustment, DDA). We built two DDA systems: one that adjusts difficulty based on in-game performance, and one that uses the pressure exerted by the player. We compared these with a version without DDA. Pressure-based DDA produced a more appropriate game difficulty than no DDA. However, it did not outperform the other versions in terms of players’ subjective experience.
[This abstract was generated with the help of AI]
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