Manipulating Interface Design Features Affects Children's Stop-And-Think Behaviours in a Counterintuitive-Problem Game

The human–computer interaction (HCI) design of educational technologies influences cognitive behaviour, so it is imperative to assess how different HCI strategies support intended behaviour. We developed a neuroscience-inspired game that trains children's use of “stopping-and-thinking” (S&T)—an inhibitory control-related behaviour—in the context of counterintuitive science problems. We tested the efficacy of four HCI features in supporting S&T: (1) a readiness mechanic, (2) motion cues, (3) colour cues, and (4) rewards/penalties. In a randomised eye-tracking trial with 45 7-to-8-year-olds, we found that the readiness mechanic increased S&T duration, that motion and colour cues proved equally effective at promoting S&T, that combining symbolic colour with the readiness mechanic may have a cumulative effect, and that rewards/penalties may have distracted children from S&T. Additionally, S&T duration was related to in-game performance. Our results underscore the importance of interdisciplinary approaches to educational technology research that actively investigates how HCI impacts intended learning behaviours.

Time Waits for No One: Longitudinal Study on the Effects of an Anti-Stigma Seminar on the Psychology Student Population

The primary aim is to describe the changes in the knowledge of mental health conditions, the attitudes toward the mentally ill, and the intended behaviour towards people with mental illness among the entire student population of the third year of a degree course in Psychology. A total of 570 students attended a seminar on stigma towards mental illness and were invited to complete an online survey which collected data on sociodemographic characteristics and three validated questionnaires evaluating different aspects of stigma at three different time points (pre-intervention, post-intervention, and at one year follow up). A total of 253 students (44.39%) completed the questionnaires at t0, t1, and t2. The mean age of the sample was 23.7 (SD = ±5.89), and 86.96% (n = 220) were females. Between t0 and t1, a statistically significant improvement was observed for all three outcomes, while the intended behaviour outcome was no longer significant between t1 and t2 (Z = −0.70; p = 0.48). Females and who participated live at the seminar maintained a significant knowledge of mental illness and a better attitude toward community mental health care. The effects of the seminar focused on reducing stigma tended to diminish over time at one year follow-up, particular in relation to intended behaviour.

Mental health stigma in Ukraine: cross-sectional survey

Background and study objectives This study aimed to assess among Ukrainian adults: (1) knowledge of mental disorders; (2) attitudes towards people with mental health disorders, and to the delivery of mental health treatment within the community; and (3) behaviours towards people with mental disorders. Methodology A cross-sectional survey of Ukrainian adults aged 18–60 was conducted. Stigma-related mental health knowledge was measured using the mental health knowledge schedule. Attitude towards people with mental health disorders was assessed using the Community Attitudes towards Mental Illness scale. The Reported and Intended Behaviour scale was used to assess past and future intended behaviour towards people with mental health disorders. Results Associations between gender, age, and educational level and the knowledge and attitudes measures were identified. There was evidence of a positive association between being male and positive intended behaviours towards people with mental health disorders [mean difference (MD) = 0.509, 95% confidence interval (CI) 0.021–0.998]. Older age was negatively associated with positive intended behaviours towards people with mental health disorders (MD = −0.017, 95% CI 0.0733 to −0.001). Higher education was positively associated with stigma-related mental health knowledge (MD = 0.438, 95% CI 0.090–0.786), and negatively associated with authoritarian (MD = 0.755, 95% CI 0.295–1.215) attitudes towards people with mental health problems. Conclusion Overall, the findings indicate a degree of awareness of, and compassion towards, people with mental illness among Ukrainian adults, although this differed according to gender, region, and education level. Results indicate a need for the adoption and scaling-up of anti-stigma interventions that have been demonstrated to be effective.

Time to Change’s social marketing campaign for a new target population: results from 2017-2019.

Background. Since 2009 Time to Change has included among its strategies a social marketing campaign to tackle the stigma surrounding mental health problems. At the start of its third phase (2016-2021) the target group of the campaign was kept as people between their mid-twenties and mid-forties but changed to middle-low income groups, with the content focused on men . Methods. Participants (n=3700) were recruited through an online market research panel, before and after each burst of the campaign. They completed an online questionnaire evaluating knowledge (Mental Health Knowledge Schedule, MAKS); attitudes (Community Attitudes toward Mental Illness, CAMI); and desire for social distance (Intended Behaviour subscale of the Reported and Intended Behaviour Scale, RIBS). Socio-demographic data and awareness of the campaign were also collected. Results. For each of the 3 bursts, significant pre-post awareness differences were found (OR=2.83, CI=1.90-4.20, p<0.001; OR=1.72, CI=1.22-2.42, p=0.002; OR=1.41, CI=1.01-1.97, p=0.043), and awareness at the end of the third burst was 33%. Demographic factors associated with awareness for one or more bursts included having children, familiarity with mental illness, male sex, being Black, Asian or other ethnic minorities and living in London or the East Midlands regions. An improvement across bursts in the “living with” subscale item of the RIBS, and in the “recover” and “advice to a friend” MAKS items were found. Familiarity with mental illness had the strongest association with all outcome measures, while the awareness of the campaign was also related with higher scores in MAKS and RIBS. Conclusions. These interim results suggest that the campaign is reaching and having an impact on its new target audience to a similar extent as did the TTC phase 1 campaign. While over the course of TTC we have found no evidence that demographic differences in stigma have widened, and indeed those by age group and region of England have narrowed, those for socioeconomic status, ethnicity and sex have so far remained unchanged. By targeting a lower socioeconomic group and creating relatively greater awareness among men and in Black and ethnic minority groups, the campaign is showing the potential to address these persistent differences in stigma.

Time to Change’s social marketing campaign for a new target population: results from 2017-2019.

Background. Since 2009 Time to Change has included among its strategies a social marketing campaign to tackle the stigma surrounding mental health problems. At the start of its third phase (2016-2021) the target group of the campaign was kept as people aged between mid-twenties and mid-forties but changed to middle-low income groups and the content was focused on men. Methods. Participants (n = 3700) were recruited through an online market research panel, before and after each burst of the campaign. They completed an online questionnaire evaluating knowledge [Mental Health Knowledge Schedule (MAKS)]; attitudes [Community Attitudes toward Mental Illness (CAMI)]; and desire for social distance [Intended Behaviour subscale of the Reported and Intended Behaviour Scale (RIBS)]. Socio-demographic data and awareness of the campaign were also collected. Results. For each of the 3 bursts, significant pre-post awareness differences were found (OR=2.83, CI=1.90 to 4.20, p<0.001; OR=1.72, CI=1.22 to 2.42, p=0.002; OR=1.41, CI=1.01 to 1.97, p=0.043), and awareness at the end of the third burst was 33%. Demographic factors associated with awareness for one or more bursts included having children, familiarity with mental illness, male sex, being Black, Asian or other ethnic minorities and living in London or the East Midlands regions. An improvement across bursts in the “living with” subscale item of the RIBS, and in the “recover” and “advice to a friend” MAKS items were found. Familiarity with mental illness had the strongest association with all outcome measures, while the awareness of the campaign was also related with higher scores in MAKS and RIBS. Conclusions. These interim results suggest that the campaign is reaching and having an impact on its target audience. While over the course of Time to Change we have found no evidence that demographic differences in stigma have widened, and indeed those by age group and region of England have narrowed, those for socioeconomic status, ethnicity and sex have so far remained unchanged. By targeting a lower socioeconomic group and creating relatively greater awareness among men and in Black and ethnic minority groups, the campaign is showing the potential to address these persistent differences in stigma.

Time to Change’s social marketing campaign for a new target population: results from 2017 to 2019

Background Since 2009 Time to Change has included among its strategies a social marketing campaign to tackle the stigma surrounding mental health problems. At the start of its third phase (2016–2021) the target group of the campaign was kept as people aged between mid-twenties and mid-forties but changed to middle-low income groups and the content was focused on men. Methods Participants (n = 3700) were recruited through an online market research panel, before and after each burst of the campaign. They completed an online questionnaire evaluating knowledge (Mental Health Knowledge Schedule, MAKS); attitudes (Community Attitudes toward Mental Illness, CAMI); and desire for social distance (Intended Behaviour subscale of the Reported and Intended Behaviour Scale, RIBS). Socio-demographic data and awareness of the campaign were also collected. Results For each of the 3 bursts, significant pre-post awareness differences were found (OR = 2.83, CI = 1.90–4.20, p < 0.001; OR = 1.72, CI = 1.22–2.42, p = 0.002; OR = 1.41, CI = 1.01–1.97, p = 0.043), and awareness at the end of the third burst was 33%. Demographic factors associated with awareness for one or more bursts included having children, familiarity with mental illness, male sex, being Black, Asian or other ethnic minorities and living in London or the East Midlands regions. An improvement across bursts in the “living with” subscale item of the RIBS, and in the “recover” and “advice to a friend” MAKS items were found. Familiarity with mental illness had the strongest association with all outcome measures, while the awareness of the campaign was also related with higher scores in MAKS and RIBS. Conclusions These interim results suggest that the campaign is reaching and having an impact on its new target audience to a similar extent as did the TTC phase 1 campaign. While over the course of TTC we have found no evidence that demographic differences in stigma have widened, and indeed those by age group and region of England have narrowed, those for socioeconomic status, ethnicity and sex have so far remained unchanged. By targeting a lower socioeconomic group and creating relatively greater awareness among men and in Black and ethnic minority groups, the campaign is showing the potential to address these persistent differences in stigma.