Challenge

Fragmented research

A scattered, under-consolidated body of work that is hard to synthesize.

50 papers carry this theme

In these papers

01
Advancements in Context Recognition for Edge Devices and Smart Eyewear: Sensors and ApplicationsFrancesca Palermo, Luca Casciano · 2025Reviews sensors and applications for context recognition.
02
Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI LiteratureShuning Zhang, Hui Wang et al. · 2025Synthesizes 134 papers over 20 years into one framework.
03
A Systematic Review of the Impact of Auxiliary Information on Recommender SystemsMatthew Ayemowa · 2024A systematic review of auxiliary-information impact.
04
A Systematic Review on Human and ComputerRESHNA NANDIPI · 2024A comprehensive review of HCI research.
05
AI Assistance for UX: A Literature Review Through Human-Centered AIYuwen Lu · 2024A systematic literature review of AI assistance for UX.
06
Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature ReviewTita A.Bach · 2024Existing HAII research is limited and fragmented; an SLR.
07
Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospectsInformation Technologies · 2024A comprehensive taxonomy of applications and challenges.
08
Visualizing the knowledge mapping of artificial intelligence in education: A systematic reviewInformation Technologies · 2024A systematic review and knowledge-mapping of AIED.
09
An Outlook into the Future of Egocentric VisionChiara Plizzari · 2023A survey mapping current vs anticipated egocentric vision.
10
End-User Development for Artiﬁcial Intelligence: A Systematic Literature ReviewAndrea Esposito · 2023A systematic literature review of EUD for AI.
11
Impact of AI on Mobile Computing - A Systematic Review from a Human Factors PerspectiveHelmut Degen · 2023A systematic review from a human-factors perspective.
12
Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature ReviewYang Shi, Tian Gao et al. · 2023A systematic literature review of designer-AI collaboration.
13
A review of AI teaching and learning from 2000 to 2020Davy Tsz Kit Ng, Min Lee et al. · 2022Consolidates two decades of AITL research.
14
Algorithms for the Development of Adaptive Web Interfaces: A Systematic Literature ReviewMichael Rodrigues da Silva · 2022A systematic literature review of adaptive-web-UI algorithms.
15
Bibliometric and Visualized Analysis of User Experience Design Research: From 1999 to 2019Rui Li · 2022Systematically reviews 14,825 UXD documents.
16
How Well Does the Algorithm Know Me?Julia Graefe · 2022User-adaptive-systems research lacks uniform terminology.
17
Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directionsRene Riedl · 2022Reviews scattered empirical evidence on AI trust.
18
Artificial intelligence in E‑Commerce: a bibliometric study and literature reviewBawack · 2021Combines bibliometric analysis with a literature review.
19
Behavioural Intervention Technology in UX Design: Conceptual Review, Synthesis, and Research DirectionYoungsoo Shin, Chajoong Kim et al. · 2021Consolidates 28 scattered publications into a synthesis.
20
Computer Science ReviewMaaruf Ali, Peter S. Excell · 2021Synthesizes 55 years of scattered work into a taxonomy.
21
Inertial Motion Tracking on Mobile and Wearable Devices: Recent Advancements and ChallengesZhipeng Song, Zhichao Cao et al. · 2021Surveys recent advances and open challenges in IMU tracking.
22
Model-based intelligent user interface adaptation: challenges and future directionsSilvia Abrahao · 2021Reviews three decades of modelling methods and future directions.
23
Review The Cognitive-Emotional Design and Study of Architectural Space: A Scoping Review of Neuroarchitecture and Its Precursor ApproachesJuan Luis Higuera-Trujillo · 2021A scoping review of neuroarchitecture and its precursor approaches.
24
Towards Augmented Reality-driven Human-City Interaction: Current Research on Mobile Headsets and Future ChallengesLik-Hang Lee · 2021Reviews 260 articles and flags under-explored issues.
25
A review of immersive virtual reality serious games to enhance learning and trainingDavid Checa, Andres Bustillo · 2020Synthesizes VR serious-games work amid fast-moving hardware and software.
26
DESIGN RESEARCH IN THE DIGITAL ERAIlaria Mariani · 2020Attempts to map a varied, scattered design-research landscape.
27
Putting Humans in the Natural Language Processing Loop - A SurveyDongjin Choi · 2020A survey of nascent, multifarious HITL NLP frameworks.
28
The Trend of Published Literature on User Experience (UX) Evaluation: A Bibliometric Analysis2020Maps the scattered body of UX-evaluation work.
29
A Comparative Analysis of Industry of Human-AI Interaction GuidelinesHaekyu Park · 2019Synthesizes best practices scattered across the community.
30
A Framework for the Development of a Dynamic AdaptiveVivien Johnston · 2019Identifies a gap at the intersection of the three interface types.
31
A survey of cyber‑physical system implementations of real‑time personalized interventionsRobert Steele · 2019A survey of CPS implementations of personalized interventions.
32
History and Future of Human AutomationJanssen · 2019Assesses and consolidates the field's history and future.
33
Information Dashboards and Tailoring Capabilities - A Systematic Literature ReviewAndrea Vazques-Ingelmo · 2019A systematic literature review of dashboard design.
34
Measuring the impact of online personalization - Past, present and futureMarkus Zanker⁎, Laurens Rookb et al. · 2019Personalization research spread across AI, ML, and HCI.
35
Self-Adaptation in Mobile Apps: a SystematicGrua · 2019A systematic review of mobile-app self-adaptation.
36
Artificial Intelligence (AI) for User Experience (UX) design: A systematic literature review and future reseaarch agendaAsne Stige · 2018A systematic literature review of AI for UX design.
37
Explanation in artiﬁcial intelligence: Insights from the social sciencesTim Miller · 2018Synthesizes scattered social-science work on explanation.
38
A systematic review and taxonomy of explanations in decision support and recommender systemsIngrid Nunes · 2017A systematic review consolidating explanation research.
39
Drivers of Consumers' Emotional Engagement with Everyday Products: An Intensive Review of the Literature and an Attempt to Conceptualize the Consumer-Product Interactions Within the Emotional Design Process2017An intensive literature review synthesizing scattered work.
40
Emotion detection: a technology review2017Consolidates emotion-detection technologies across a new discipline.
41
Developing Emotion-Aware, Advanced Learning Technologies: A Taxonomy of Approaches and FeaturesClaude Frasson, Nathan C. Hall · 2016Builds a taxonomy of emotion-aware learning approaches and features.
42
Unconscious Human Behavior at Visceral Level of Emotional Design2013Notes limited literature on unconscious behaviour in product design.
43
UX Research on Conversational Human AI interaction - A Literature Review of the ACM Digital LibraryQingxiao Zheng · 2013A literature review consolidating conversational-AI UX work.
44
The Behaviour Change Wheel: a new method for characterising and designing behaviour change interventions2011Synthesizes 19 existing frameworks into one coherent method.
45
Emotional Design in Human Factors and Ergonomics2010Consolidates scattered emotion-and-design work in human factors.
46
User experience evaluation methods: Current state and development needsArnold P.O.S. Vermeeren, Effie Lai-Chong Law, Virpi Roto, Marianna Obrist, Jettie Hoonhout, Kaisa Väänänen-Vainio-Mattila · 2010No clear overview of the many available UX evaluation methods.
47
Research Through Design as a Method for InteractionJohn Zimmerman, Jodi Forlizzi et al. · 2007Design has had little impact on the HCI research community.
48
The focus of UX research is to design and develop systems that must support usability and user’s affective needs and goals[10-11]. UX research has gained more interest due to limitations of the conventional usability models [4]. UX studies do not only focus on task related aspects but also on affective qualities, sensation, meaning and value of interactive systems, products and services [12-14]. In order to better understand the concept of UX, many frameworks and models are proposed e.g. [11, 14, 15] that include various integrated UX constructs and measures. These frameworks are presented from different perspectives that include interaction-centered, user-centered and system-centered [16, 17]. It is also focused to understand and document different types of experience created while interacting with systems. Experience is described as a constant stream of “self-talk” that occurs while interaction is carried out with products e.g. using instant messaging systems. An experience is described as something that can be articulated e.g. watching a movie and sitting on free fall ride. Co-experience is described as the motions and meanings created together while interacting with products e.g. playing mobile messaging games with friends. UX can be created either positive or negative depending on systems qualities perceived by users [18-20]. It introduces a valid point of interest to research that how positive UX of interactive systems can be created, measured and modeled [19]. Thus, UX is being studied extensively in HCI field to design systems to be more useful, pleasant and attractive [14, 18]. Despite the availability of different frameworks and models, there is still no consensus on the definition of UX [3, 10, 21]. It is argued that UX encompasses various integrated aspects and shares diverse views. The wider scope and incoherent views on UX make it more complex [4, 10]. It presents many challenges such as selecting and validating the core constructs, factors and relevant2006Many competing UX frameworks and incoherent views complicate the field.
49
Design and Emotion: Time for a New Direction?Terence Love · 2004Critiques the scattered, low-impact state of design-and-emotion theory.
50
Review of eye tracking metrics involved in emotional and cognitive processesVasileios Skaramagkas, Giorgos Giannakakis et al.Consolidates eye-tracking metrics for emotional and cognitive processes.

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