Evidence map›Paper›PMID 31079470›Full record

ReviewJournal of behavioral addictions2019

Play dynamics on electronic gaming machines: A conceptual review.

Paul Delfabbro, Daniel L King

Abstract readReview
In one paragraph

Review in Journal of behavioral addictions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Paul DelfabbroSchool of Psychology,University of Adelaide, Adelaide, SA,Australia.
Daniel L KingSchool of Psychology,University of Adelaide, Adelaide, SA,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThis paper proposes that future research into electronic gaming machines (EGMs) is likely to benefit from conceptual and methodological approaches that capture the dynamic interplay between game parameters as well between the psychological needs of gamblers and their behavior.

methodsThe argument concerning the importance of player dynamics is developed in two sections. The first involves an analysis of existing work, which investigates individual gaming machine features and then a discussion; the second reappraises the value of Apter's (1982) Reversal Theory as a framework for understanding behavioral dynamics and the interplay between gambler's need states and their play choices.

resultsIt is argued that existing methods based on the modification of single features are going to be limited and that differences in observed behavior may relate to measurable differences in motivational states before and during gambling sessions. DISCUSSION AND

conclusionsIt is concluded that a more dynamic and interactive approach to studying EGMs could be facilitated by innovations in Big Data and greater access to genuine player data. It is argued that such work may help to inform in situ research methods as well as clinical interventions for gamblers at risk or those already involved in interventions involving exposure and controlled gambling.

Indexed as

MotivationBehavior, AddictiveGamblingGames, RecreationalHumanselectronic gaming machinesgambling behaviormotivationplay dynamics

Identifiers

PMID31079470
PMCPMC7044556

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.