Atiyeh Vaezipour

Atiyeh Vaezipour

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 December 2021 in IEEE Access
Verified
Journal Article
Open access
ASAline Darc Piculo Dos Santos
Aline Darc Piculo Dos Santos
ASAna Harumi Grota Suzuki
Ana Harumi Grota Suzuki
FMFausto Medola
Fausto Medola
AVAtiyeh Vaezipour
Atiyeh Vaezipour
Wearable devices have been developed to improve the navigation of blind and visually impaired people. With technological advancements, the application of wearable devices has been increasing. This systematic review aimed to explore existing literature on technologies used in wearable devices to provide independent and safe mobility for visually impaired people. Searches were conducted in six electronic databases (PubMed, Web of Science, Scopus, Cochrane, ACM Digital Library and SciELO). Our systematic review included 61 studies. The results show that the majority of studies used audio information as a feedback interface and a combination of technologies for obstacle detection - especially the integration of sensor-based and computer vision-based technologies. The findings also showed the importance of including visually impaired individuals during prototype evaluation and the need for including safety evaluation which is currently lacking. These results have important implications for developing wearable devices for the safe mobility of visually impaired people.

29 October 2020 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
AVAtiyeh Vaezipour
Atiyeh Vaezipour
JCJessica Campbell
Jessica Campbell
DTDeborah Theodoros
Deborah Theodoros
TRTrevor Russell
Trevor Russell
Background: Worldwide, more than 75% of people with acquired brain injury (ABI) experience communication disorders. Communication disorders are impairments in the ability to communicate effectively, that is, sending, receiving, processing, and comprehending verbal and nonverbal concepts and symbols. Such disorders may have enduring impacts on employment, social participation, and quality of life. Technology-enabled interventions such as mobile apps have the potential to increase the reach of speech-language therapy to treat communication disorders. However, ensuring that apps are evidence-based and of high quality is critical for facilitating safe and effective treatment for adults with communication disorders. Objective: The aim of this review is to identify mobile apps that are currently widely available to adults with communication disorders for speech-language therapy and to assess their content and quality using the validated Mobile App Rating Scale (MARS). Methods: Google Play Store, Apple App Store, and webpages were searched to identify mobile apps for speech-language therapy. Apps were included in the review if they were designed for the treatment of adult communication disorders after ABI, were in English, and were either free or for purchase. Certified speech-language pathologists used the MARS to assess the quality of the apps. Results: From a total of 2680 apps identified from Google Play Store, Apple App Store, and web searches, 2.61% (70/2680) apps met the eligibility criteria for inclusion. Overall, 61% (43/70) were available for download on the iPhone Operating System (iOS) platform, 20% (14/70) on the Android platform, and 19% (13/70) on both iOS and Android platforms. A content analysis of the apps revealed 43 apps for language, 17 apps for speech, 8 apps for cognitive communication, 6 apps for voice, and 5 apps for oromotor function or numeracy. The overall MARS mean score was 3.7 out of 5, SD 0.6, ranging between 2.1 and 4.5, with functionality being the highest-scored subscale (4.3, SD 0.6), followed by aesthetics (3.8, SD 0.8), information (3.4, SD 0.6), and engagement (3.3, SD 0.6). The top 5 apps were Naming Therapy (4.6/5), Speech Flipbook Standard (4.6/5), Number Therapy (4.5/5), Answering Therapy, and Constant Therapy (4.4/5). Conclusions: To our knowledge, this is the first study to systematically identify and evaluate a broad range of mobile apps for speech-language therapy for adults with communication disorders after sustaining ABI. We found a lack of interactive and engaging elements in the apps, a critical factor in sustaining self-managed speech-language therapy. More evidence-based apps with a focus on human factors, user experience, and a patient-led design approach are required to enhance effectiveness and long-term use.

2 October 2023 in JMIR Mental Health
Verified
Journal Article
Open access
IHIlona Halim
Ilona Halim
LSLehan Stemmet
Lehan Stemmet
SHSylvia Hach
Sylvia Hach
RPRichard Porter
Richard Porter
LHLiang Hai-Ning
Liang Hai-Ning
NBNilufar Baghaei
Nilufar Baghaei
Background: Depression and anxiety are common and debilitating mental disorders with severe negative repercussions at both individual and societal levels. Although virtual reality (VR) has emerged as a safe and effective tool for the treatment of anxiety disorders, studies of the therapeutic application of VR to treat depression are more limited. Objective: The purpose of this study was to test whether a novel type of individualized VR (iVR) can be used to improve self-compassion and decrease depressive symptoms and to evaluate the usability and acceptability of this approach, as rated by participants. The iVR system was designed and developed based on the feedback obtained from a previous study, with improved appearance and feel of the avatar and enhanced graphical quality. Methods: A total of 36 young adult participants were recruited from a university community social media site. Participants were aware that the study was investigating a treatment for depression but were not recruited based on depression diagnosis. Participants were asked to complete 2 iVR sessions, spaced 2 weeks apart. At baseline and upon completion of each iVR session, participants were asked to complete validated measures of self-compassion and depression. Upon completion of both iVR sessions, additional measures were administered to assess participants’ perceptions about the perceived usability and system acceptability of the iVR approach. Results: Self-compassion was assessed at the beginning of session 1 (preintervention baseline) and at the end of session 1 (postintervention assessment). Owing to COVID-19 constraints, 36% (13/36) of the participants were unable to complete the follow-up iVR session. Self-compassion was assessed again for the remaining 64% (23/36) of the participants at the end of session 2 (postintervention assessment). Within-group analyses revealed that self-compassion was significantly increased at the end of both session 1 (P=.01) and session 2 (P=.03) relative to baseline. There was also a nonsignificant trend for depressive symptoms to be low at the end of session 2 relative to baseline. Both quantitative and qualitative participant data supported the iVR approach as being acceptable and usable. Conclusions: Although these data must be treated as preliminary owing to the small sample size and potential selection bias, the data provide encouraging initial evidence that iVR might be a useful tool to enhance self-compassion and reduce depressive symptoms, highlighting the need for randomized controlled trials in the future.

1 January 2015 in Procedia Manufacturing
Verified
Journal Article
Open access
AVAtiyeh Vaezipour
Atiyeh Vaezipour
ARAndry Rakotonirainy
Andry Rakotonirainy
NHNarelle Haworth
Narelle Haworth
Road transport plays a significant role in various industries and mobility services around the globe and has a vital impact on our daily lives. However it also has serious impacts on both public health and the environment. In-vehicle feedback systems are a relatively new approach to encouraging driver behavior change for improving fuel efficiency and safety in automotive environments. While many studies claim that the adoption of eco-driving practices, such as eco-driving training programs and in-vehicle feedback to drivers, has the potential to improve fuel efficiency, limited research has integrated safety and eco-driving. Therefore, it is crucial to understand the human factors related theories and practices which will inform the design of an in-vehicle Human Machine Interface (HMI) that could provide real-time driver feedback and consequently improve both fuel efficiency and safety. This paper provides a comprehensive review of the current state of published literature on in-vehicle systems to identify and evaluate the impact of eco-driving and safety feedback systems. This paper also discusses how these factors may conflict with one another and have a negative effect on road safety, while also exploring possible eco-driving practices that could encourage more sustainable, environmentally-conscious and safe driving behavior. The review revealed a lack of comprehensive theoretical research integrating eco-driving and safe driving, and no current available HMI covering both aspects simultaneously. Furthermore, the review identified that some eco-driving in-vehicle systems may enhance fuel efficiency without compromising safety. The review has identified a range of concepts which can be developed to influence driver acceptance of safety and eco-driving systems within the area of HMI. This can promote new research aimed at enhancing our understanding of the relationship between eco-driving and safety from the human factors viewpoint. This provides a foundation for developing innovative, persuasive and acceptable in-vehicle HMI systems to improve fuel efficiency and road safety

1 July 2019 in Journal of Head Trauma Rehabilitation
Verified
Journal Article
Closed access
AVAtiyeh Vaezipour
Atiyeh Vaezipour
BWBrooke-Mai Whelan
Brooke-Mai Whelan
KWKylie Wall
Kylie Wall
DTDeborah Theodoros
Deborah Theodoros
Background: Moderate to severe traumatic brain injuries (TBIs) commonly result in persistent physical, cognitive, and/or emotional deficits that require long-term rehabilitation. Technology-enabled rehabilitation provides an innovative alternative to traditional intervention models. End-user acceptance of these interventions, however, is a critical factor in determining the effective implementation and acceptance of these technologies. Objective: To systematically review the literature to identify methods and measures used to evaluate user acceptance relating to rehabilitation technologies for adults with moderate to severe TBI, their caregivers, and healthcare professionals. Methods: Six key databases including Medline, Embase, CINAHL, Cochrane, Scopus, and Web of Science were searched using the relevant search terms. Results: From a yield of 2059 studies, 13 studies met the eligibility criteria. The review revealed limited research that formally evaluated user acceptance in relation to rehabilitation technologies designed for adults with TBI. Furthermore, where such evaluations were conducted, comprehensive research designs incorporating theoretical frameworks of technology acceptance were sparse. Importantly, a range of technologies and recommendations that positively influenced user acceptance were identified. Future directions for research in this area include the use of theory-driven research designs to enhance our understanding of technology acceptance, to support the development of rehabilitation technologies that maximize functional outcomes for individuals with TBI.

14 March 2021 in Disability and Rehabilitation
Verified
Journal Article
Closed access
AVAtiyeh Vaezipour
Atiyeh Vaezipour
DADanielle Aldridge
Danielle Aldridge
SKSebastian Koenig
Sebastian Koenig
DTDeborah Theodoros
Deborah Theodoros
TRTrevor Russell
Trevor Russell
Acquired communication disorders can result in significant barriers to everyday life activities, and commonly require long-term rehabilitation. This research aimed to investigate usability, accepta...