Reliable deception cues training in an interactive video game. (August 2018)
- Record Type:
- Journal Article
- Title:
- Reliable deception cues training in an interactive video game. (August 2018)
- Main Title:
- Reliable deception cues training in an interactive video game
- Authors:
- Dunbar, Norah E.
Miller, Claude H.
Lee, Yu-Hao
Jensen, Matthew L.
Anderson, Chris
Adams, Aubrie Serena
Elizondo, Javier
Thompson, William
Massey, Zach
Nicholls, Spencer B.
Ralston, Ryan
Donovan, Jaise
Mathews, Emmett
Roper, Braden
Wilson, Scott N. - Abstract:
- Abstract: Well-designed video games can teach people to decrease their reliance on heuristics and biases, especially in deception detection, where people might be resistant to training or unaware that training is needed. We created the serious game VERITAS in which users ask questions of pre-recorded actors and attempt to determine the veracity of the answers supplied. The efficacy of the game was tested in two different experiments with college student players. We hypothesized that reducing reactance and enhancing self-affirmation of players would mitigate the resistance to training about bias relevant to a deception detection context. We found that compared to a traditional lecture, VERITAS players were more engaged and motivated by the training and outperformed the traditional lecture in training participants about their knowledge of deception cues, and to identify truthful statements but not deceptive ones. The players of VERITAS also showed improvement from the first to the second scenario in the game. These results reveal that perhaps truth and deception detection are separate skills which require different types of training. Highlights: VERITAS is a game for teaching reliable deception detection skills in two scenarios. Compared to a traditional training, game players found VERITAS more engaging. VERITAS players gained more deception knowledge than in traditional training. VERITAS players improved more in truth detection skills than deception detection. Across gameAbstract: Well-designed video games can teach people to decrease their reliance on heuristics and biases, especially in deception detection, where people might be resistant to training or unaware that training is needed. We created the serious game VERITAS in which users ask questions of pre-recorded actors and attempt to determine the veracity of the answers supplied. The efficacy of the game was tested in two different experiments with college student players. We hypothesized that reducing reactance and enhancing self-affirmation of players would mitigate the resistance to training about bias relevant to a deception detection context. We found that compared to a traditional lecture, VERITAS players were more engaged and motivated by the training and outperformed the traditional lecture in training participants about their knowledge of deception cues, and to identify truthful statements but not deceptive ones. The players of VERITAS also showed improvement from the first to the second scenario in the game. These results reveal that perhaps truth and deception detection are separate skills which require different types of training. Highlights: VERITAS is a game for teaching reliable deception detection skills in two scenarios. Compared to a traditional training, game players found VERITAS more engaging. VERITAS players gained more deception knowledge than in traditional training. VERITAS players improved more in truth detection skills than deception detection. Across game scenarios, players improved approximately 10% in deception assessments. … (more)
- Is Part Of:
- Computers in human behavior. Volume 85(2018)
- Journal:
- Computers in human behavior
- Issue:
- Volume 85(2018)
- Issue Display:
- Volume 85, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 85
- Issue:
- 2018
- Issue Sort Value:
- 2018-0085-2018-0000
- Page Start:
- 74
- Page End:
- 85
- Publication Date:
- 2018-08
- Subjects:
- Serious video games -- Game-based learning -- Deception detection -- Cognitive biases
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2018.03.027 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
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