25/04/2020

Bot or not? User Perceptions of Player Substitution with Deep Player Behavior Models

Johannes Pfau, Jan Smeddinck, Ioannis Bikas, Rainer Malaka

Keywords: player substitution, game disruption prevention, player modeling, neural networks, deep learning, games, games user research

Abstract Paper Similar Papers

Abstract: Many online games suffer when players drop off due to lost connections or quitting prematurely, which leads to match terminations or game-play imbalances. While rule-based outcome evaluations or substitutions with bots are frequently used to mitigate such disruptions, these techniques are often perceived as unsatisfactory. Deep learning methods have successfully been used in deep player behavior modelling (DPBM) to produce non-player characters or bots which show more complex behavior patterns than those modelled using traditional AI techniques. Motivated by these findings, we present an investigation of the player-perceived awareness, believability and representativeness, when substituting disconnected players with DPBM agents in an online-multiplayer action game. Both quantitative and qualitative outcomes indicate that DPBM agent substitutes perform similarly to human players and that players were unable to detect substitutions. Notably, players were in fact able to detect substitution with agents driven by more traditional heuristics.

The video of this talk cannot be embedded. You can watch it here:
https://www.youtube.com/watch?v=3BkdJArhvnY
(Link will open in new window)
 0
 0
 0
 0
  Share    
This is an embedded video. Talk and the respective paper are published at CHI 2020 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers

 0
 0
 0
 0
 16:09 
 0
 0
 0
 0
 5:13 
 0
 0
 0
 0
 4:49 
 0
 0
 0
 0
 19:22 
 0
 0
 0
 0
 18:34 
 0
 0
 0
 0
 3:18 
 1
 1
 1
 1
 13:17 
 0
 0
 0
 0
 14:28 
 1
 1
 0
 1
 3:11 
 0
 0
 0
 0
 2:13 
 0
 0
 0
 0
 5:01 
 0
 0
 0
 0
 14:59 
 0
 0
 0
 0
 17:09 
 0
 0
 0
 0
 3:16 
 0
 0
 0
 0
 14:40 
 0
 0
 0
 0
 2:45 
 0
 0
 0
 0
 5:15 
 0
 0
 0
 0
 5:01 
 0
 0
 0
 0
 13:00 
 0
 0
 0
 0
 4:52 
 0
 0
 0
 0
 5:10 
 0
 0
 0
 0
 12:59 
 0
 0
 0
 0
 11:21 
 0
 0
 0
 0
 13:25 
 1
 0
 0
 0
 5:21 
 0
 0
 0
 0
 15:39 
 0
 0
 0
 0
 7:44 
 0
 0
 0
 0
 14:46 
 0
 0
 0
 0
 20:29 
 0
 0
 0
 0
 14:22 
 0
 0
 0
 0
 13:20 
 1
 0
 0
 1
 12:56 
 0
 0
 0
 0
 10:24 
 0
 0
 0
 0
 4:40 
 0
 0
 0
 0
 10:01 
 1
 1
 0
 0
 3:29 
 0
 0
 0
 0
 5:11 
 0
 0
 0
 0
 6:49 
 0
 0
 0
 0
 14:28 
 0
 0
 0
 0
 4:42