Pub Date : 2023-11-15DOI: 10.3389/fcomp.2023.1268849
Christopher Dawes, Sabina Beganovic, Matti Schwalk, Michaela Mai, Steve Pawlizak, Jingxin Zhang, Gabriele Nelles, N. Krasteva, Marianna Obrist
When we taste, we take in a variety of sensory information that can be completely independent from the properties of the food itself: the ambient lighting and environmental sounds can all influence our taste perception and affective responses. However, current multisensory research is mixed as to whether these In Real Life (IRL) findings also apply to Extended Reality (XR) environments. A potential reason for this may be the limited realism of some XR scenarios, which this study aimed to overcome through an immersive Virtual Reality experience (VR, chosen for its greater realism relative to other XR applications) whilst also expanding the scope to flavour perception.A total of 34 participants rated food samples under neutral, red, and green ambient lighting in VR. Participants ate either lime flavoured, strawberry flavoured, or “Neutral” (no added flavour) samples.While participants were equally immersed in all three environments, they rated the red and green lighting environments as substantially less natural than the neutral lighting environment. Interestingly, while participants associated sweetness and sourness with red lighting and green lighting respectively, this minimally extended to their behavioural ratings, when sampling the stimuli in VR. Samples eaten under red lighting were rated as significantly sweeter than those eaten under neutral lighting. However, neither red nor green lighting affected sample sourness nor the intensity of strawberry or lime flavour.This study found limited evidence of multisensory integration in XR, wherein taste expectations do not extend to taste experiences. We discuss these results in light of prior works on crossmodal associations and raise a reflection on why multisensory integration of taste may not apply to XR in our study. While there is much excitement about the opportunities XR can offer, we argue that we are only at the beginning of understanding the experiences on the reality-virtuality continuum and that we need to establish a richer understanding of participants' experiences, expectations, and taste/flavour perceptions between IRL and XR.
{"title":"Reality bites: highlighting the potential discrepancies between multisensory taste perception in extended and physical reality","authors":"Christopher Dawes, Sabina Beganovic, Matti Schwalk, Michaela Mai, Steve Pawlizak, Jingxin Zhang, Gabriele Nelles, N. Krasteva, Marianna Obrist","doi":"10.3389/fcomp.2023.1268849","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1268849","url":null,"abstract":"When we taste, we take in a variety of sensory information that can be completely independent from the properties of the food itself: the ambient lighting and environmental sounds can all influence our taste perception and affective responses. However, current multisensory research is mixed as to whether these In Real Life (IRL) findings also apply to Extended Reality (XR) environments. A potential reason for this may be the limited realism of some XR scenarios, which this study aimed to overcome through an immersive Virtual Reality experience (VR, chosen for its greater realism relative to other XR applications) whilst also expanding the scope to flavour perception.A total of 34 participants rated food samples under neutral, red, and green ambient lighting in VR. Participants ate either lime flavoured, strawberry flavoured, or “Neutral” (no added flavour) samples.While participants were equally immersed in all three environments, they rated the red and green lighting environments as substantially less natural than the neutral lighting environment. Interestingly, while participants associated sweetness and sourness with red lighting and green lighting respectively, this minimally extended to their behavioural ratings, when sampling the stimuli in VR. Samples eaten under red lighting were rated as significantly sweeter than those eaten under neutral lighting. However, neither red nor green lighting affected sample sourness nor the intensity of strawberry or lime flavour.This study found limited evidence of multisensory integration in XR, wherein taste expectations do not extend to taste experiences. We discuss these results in light of prior works on crossmodal associations and raise a reflection on why multisensory integration of taste may not apply to XR in our study. While there is much excitement about the opportunities XR can offer, we argue that we are only at the beginning of understanding the experiences on the reality-virtuality continuum and that we need to establish a richer understanding of participants' experiences, expectations, and taste/flavour perceptions between IRL and XR.","PeriodicalId":510751,"journal":{"name":"Frontiers Comput. Sci.","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139271148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-15DOI: 10.3389/fcomp.2023.1294564
Juan Francisco Ariño Sales, Raúl Andrés Palacios Araos
In the ever-evolving landscape of global trade and supply chain management, logistics optimization stands as a critical challenge. This study takes on the Vehicle Routing Problem (VRP), a variant of the Traveling Salesman Problem (TSP), by proposing a novel hybrid solution that seamlessly combines classical and quantum computing methodologies. Through a comprehensive analysis of our approach, including algorithm selection, data collection, and computational processes, we provide in-depth insights into the efficiency, and effectiveness of our hybrid solution compared to traditional methods. The results after analysis of 14 datasets highlight the advantages and limitations of this approach, demonstrating its potential to address NP-hard problems and contribute significantly to the field of optimization algorithms in logistics. This research offers promising contributions to the advancement of logistics optimization techniques and their potential implications for enhancing supply chain efficiency.
{"title":"Adiabatic quantum computing impact on transport optimization in the last-mile scenario","authors":"Juan Francisco Ariño Sales, Raúl Andrés Palacios Araos","doi":"10.3389/fcomp.2023.1294564","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1294564","url":null,"abstract":"In the ever-evolving landscape of global trade and supply chain management, logistics optimization stands as a critical challenge. This study takes on the Vehicle Routing Problem (VRP), a variant of the Traveling Salesman Problem (TSP), by proposing a novel hybrid solution that seamlessly combines classical and quantum computing methodologies. Through a comprehensive analysis of our approach, including algorithm selection, data collection, and computational processes, we provide in-depth insights into the efficiency, and effectiveness of our hybrid solution compared to traditional methods. The results after analysis of 14 datasets highlight the advantages and limitations of this approach, demonstrating its potential to address NP-hard problems and contribute significantly to the field of optimization algorithms in logistics. This research offers promising contributions to the advancement of logistics optimization techniques and their potential implications for enhancing supply chain efficiency.","PeriodicalId":510751,"journal":{"name":"Frontiers Comput. Sci.","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139272150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-23DOI: 10.3389/fcomp.2023.1295041
M. C. Schraefel, Michael Jones, Josh Andres, Elizabeth Murnane
{"title":"Editorial: Inbodied interaction","authors":"M. C. Schraefel, Michael Jones, Josh Andres, Elizabeth Murnane","doi":"10.3389/fcomp.2023.1295041","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1295041","url":null,"abstract":"","PeriodicalId":510751,"journal":{"name":"Frontiers Comput. Sci.","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139315062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-10DOI: 10.3389/fcomp.2023.1291752
Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe
{"title":"Editorial: Explainable artificial intelligence","authors":"Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe","doi":"10.3389/fcomp.2023.1291752","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1291752","url":null,"abstract":"","PeriodicalId":510751,"journal":{"name":"Frontiers Comput. Sci.","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139321057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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