Unpacking decision difficulty: Testing action dynamics in Intertemporal, gamble, and consumer choices. Cheng Jiuqing,González-Vallejo Claudia Acta psychologica The study examined the two-factor structure of decision difficulty proposed by Cheng and González-Vallejo (2017) in new domains, and the role of numeracy in relation to these factors. Using the measurement methodology of 'mouse' (cursor) movements, participants' temporal and spatial measures were recorded when making decisions in the domains of intertemporal, gamble, and consumer choices. Task manipulations designed to affect difficulty included the sign of the payoffs (gains vs. losses), the similarity of the attribute values being compared, and attribute importance. A psychometric analysis of the measures revealed three orthogonal components, two of which, conflict and wavering, described decision difficulty. The conflict component was most affected by changes in the sign of the payoffs of intertemporal and gamble choices, with greater means observed in the loss than in the gain context. By contrast, the wavering component was most affected by changes of the similarity between the options' attributes, with greater means when the options were more similar. The study also found that choosing the long-term advantageous options in an intertemporal choice task; choosing the riskier gain and safer loss in a gamble choice task; and choosing the more expensive/better-quality hotel in a consumer choice task demonstrated greater conflict and/or wavering. The study further found that numeracy, or the degree to which individuals are able to use and interpret numbers, was negatively related to the conflict component. Taken together, the study demonstrated that decision difficulty varied with contextual changes, and action-dynamic measures reflected different facets of decision difficulty. 10.1016/j.actpsy.2018.08.002

The relationship between delay discounting and Internet addiction: A systematic review and meta-analysis. Addictive behaviors AIMS:To estimate the difference in delay discounting (DD) between subjects with Internet addiction (IA) and those without as well as to identify significant variables involved in DD. METHODS:Using the keywords related to IA (e.g., "excessive Internet use", "Internet dependence") AND "delayed reward discounting" OR "delay discounting" OR "temporal discounting" OR "delayed gratification" OR time discounting OR intertemporal choice OR impulsive choice, the PubMed, Embase, and PsycINFO databases were searched from inception to June 2020 for English articles with comparison between subjects with IA and those without. Effect sizes were calculated by group means from the k value or area under the curve (AUC). The random-effects models were used. RESULTS:Fourteen studies in total were eligible for the current meta-analysis that involved 696 subjects with IA (mean age = 22.71) and 2,394 subjects without (mean age = 21.91). Subjects with IA had a steeper DD rate (g = 1.10, 95% CI: 0.57-1.64; p ≤ 0.01) compared with that in those without. Regarding DD data, the difference between k value and AUC was significant (p < 0.01; AUC > k). Additionally, the estimation of DD by the paper-and-pencil task was larger than that by the computerized task (p < 0.01). Significant difference in the DD rate was also noted between subjects with Internet gaming disorder (IGD) and those with unspecified IA (p = 0.00; IGD > IA). The percentage of men and task variables were significantly associated with the DD rate (all p < 0.01), suggesting impaired DD in subjects with IA. CONCLUSIONS:Our results suggested the feasibility of utilizing the DD rate as a therapeutic index for cognitive control in IA. Nevertheless, judicious use is recommended taking into consideration the significant difference between k value and AUC. 10.1016/j.addbeh.2020.106751